The study, published in BMC Medical Education, was led by Juan-Juan Yue of Army Medical University (Third Military Medical University) in Chongqing, together with Gang Chen, Xi-Yu Wang, Qian Li, Xuhu Mao, Yaling Liao, and Shan Lu. The team set out to solve a persistent problem in medical education research: while academic collaboration is widely assumed to benefit both mentors and their postgraduate students, there has been little agreement on which quantitative indicators actually capture the effectiveness of that collaboration. Without reliable metrics, administrators and institutions have had limited tools for guiding mentors’ professional development or evaluating the collaborative health of their faculties.

To build those tools, the researchers assembled a substantial dataset drawn entirely from public databases. They retrieved 6,158 publications authored by 319 medical mentors, primarily affiliated with seven Chinese universities, covering the period from 2011 to 2021. From this corpus, they constructed a dataset containing five dependent variables, six independent indicators, and four control variables. The dependent variables represented outcomes of academic performance, including the number of papers published, the h-index, funding received, the yearly citation rate, and the number of postgraduates trained. The independent indicators were designed to quantify different dimensions of a mentor’s collaborative behavior, with the central measure being something the authors call the partnership ability index, or PHI.

The analytical approach was deliberately multi-layered. The mentors were first classified into two categories: an excellent group, defined by strong academic performance, and a control group. The researchers then applied a battery of statistical techniques to compare and model the data, including descriptive statistics, Spearman correlation analysis, the Mann-Whitney U test, linear regression, and receiver operating characteristic (ROC) curve analysis. This combination allowed them not only to identify associations between collaboration indicators and performance outcomes, but also to test whether those indicators could serve as predictive tools in their own right.

The results were striking. The partnership ability index emerged as the single most influential indicator for several key outcomes. In linear regression models, PHI showed the highest influence on the number of papers published, with a standardized coefficient of β = 0.627 (p < 0.001), on the h-index, with β = 0.749 (p < 0.001), and on funding received, with β = 0.363 (p < 0.001). In other words, across three of the five performance measures examined, how effectively a mentor partnered with colleagues mattered more than any other independent indicator the team tested. The number of collaborators, meanwhile, had the greatest impact on two different outcomes: the yearly citation rate, with β = 0.689 (p < 0.001), and the number of postgraduates trained, with β = 0.647 (p < 0.001).

That second set of findings carries particular weight for medical education. The number of postgraduates a mentor trains is a direct measure of mentorship itself, and the fact that it tracks most strongly with the sheer number of collaborators suggests that mentors embedded in broad professional networks are better positioned to attract, support, and graduate students. The link between collaborator count and yearly citation rate also fits a well-known pattern in bibliometrics: papers produced through wider networks tend to reach larger audiences and accumulate citations faster. But the study goes beyond confirming such patterns by showing that these collaboration metrics hold predictive power even after controlling for other factors.

The predictive claim rests on the ROC curve analysis, a technique borrowed from diagnostic medicine that evaluates how well a variable discriminates between two groups, in this case excellent mentors versus the control group. The area under the ROC curve, or AUC, quantifies this discriminatory power on a scale from 0.5, equivalent to chance, to 1.0, perfect classification. Both the partnership ability index and the number of collaborators performed well, with AUC values all exceeding 0.7, a threshold conventionally regarded as indicating acceptable predictive utility. This means a mentor’s collaborative profile, measured years in advance, could meaningfully forecast whether they will join the ranks of high-performing mentors.

Perhaps the most actionable number in the study is a threshold. The analysis indicated that a partnership ability index value greater than 4 was required for excellent performance, giving aspiring high-quality medical mentors a specific, quantifiable target for their collaborative behavior. Rather than vague exhortations to network more, mentors and the administrators who support them now have a concrete benchmark grounded in a decade of publication data. The authors suggest this provides specific guidance for the development of collaborative behaviors among individuals who aspire to become high-quality medical mentors.

The study also uncovered a notable gender-related pattern. Within the excellent group of mentors, there was a significant difference in the partnership ability index between male and female mentors, with a Mann-Whitney U test statistic of z = -3.615 (p < 0.001), but no significant difference in the number of collaborators. According to the authors, this indicates that the PHI, which reflects the quality and effectiveness of partnerships rather than merely their quantity, is the main factor underlying top female mentors’ performance. In practical terms, women who reach the top tier of medical mentorship appear to do so through particularly effective collaborative partnerships, even when the raw count of their coauthors does not differ from their male peers. The researchers argue this makes it especially important for administrators to attend to the academic collaboration of female mentors.

The conclusions the authors draw are directed squarely at institutional decision-makers. Administrators, they suggest, should pay close attention to medical mentors, particularly those in the female group, in terms of their academic collaboration. By fostering collaborative projects, enhancing relevant education, and providing other resources, institutions can help mentors increase their number of academic coauthors and maintain stable collaborative relationships, thereby improving academic performance and promoting excellence in mentorship. Because collaboration benefits mentors directly and postgraduates indirectly, the ripple effects of such policies could extend well beyond individual careers to the quality of training received by the next generation of medical researchers and clinicians.

The work was supported by the National Social Science Foundation of China under grant number 25BKX016, with the funders having no role in study design, data collection, analysis, interpretation, writing, or the decision to submit the article. The authors note that the study is a retrospective, data-based analysis using academic records from public databases, and it involved no human or animal participants, so ethics approval was not applicable. The team also declares no competing interests. As with any bibliometric study, the findings describe patterns within a specific population, in this case medical mentors mainly at seven Chinese universities over 2011 to 2021, and the authors frame their indicators as guidance for collaboration and development rather than as universal laws. Still, the message is clear and quantifiable: in modern medical academia, partnership is not a soft skill but a measurable engine of performance, and a partnership ability index above 4 may be the number to watch.

Subject of Research: Quantitative indicators of academic collaboration among medical mentors and their relationship to mentorship performance

Article Title: Research on effective quantitative indicators of medical mentors’ academic cooperation to improve their development

Article References: Yue, J.-J., Chen, G., Wang, X.-Y., Li, Q., Mao, X., Liao, Y., & Lu, S. (2026). Research on effective quantitative indicators of medical mentors’ academic cooperation to improve their development. BMC Medical Education. https://doi.org/10.1186/s12909-026-10544-9

Image Credits: AI Generated

DOI: 10.1186/s12909-026-10544-9

Keywords: medical mentors, academic collaboration, partnership ability index, medical education, bibliometrics, h-index, mentorship, ROC analysis, gender differences, postgraduate training, academic performance, BMC Medical Education

Beyond the four top-50 subjects, the ranking revealed considerable depth across the university’s portfolio. Seven subjects in total placed among the world’s top 100, with Dentistry and Oral Sciences falling in the 51–75 band and both Economics and Political Sciences landing in the 76–100 range. Taken together, the Hebrew University had 30 subjects included in the global ranking, and 13 of those placed among the world’s top 150. In addition to its seven top-100 subjects, the university ranked in the 101–150 range in Atmospheric Science, Biological Sciences, Human Biological Sciences, Sociology, Education, and Psychology. For a single institution of roughly comparable size to many mid-tier international research universities, that breadth of high placement is a notable statistical achievement.

The Global Ranking of Academic Subjects, often referred to as GRAS and colloquially associated with the broader family of Shanghai rankings, is published annually and assesses universities across 57 disciplines spanning the natural sciences, engineering, life sciences, medical sciences, and social sciences. The 2026 edition is one of the largest subject-level assessments in the world, incorporating approximately 20,000 academic subject units drawn from around 2,000 universities in roughly 100 countries and regions. Unlike overall institutional rankings, which compress an entire university’s performance into a single number, subject rankings allow analysts to see precisely where a university’s research strengths and weaknesses lie, discipline by discipline.

Methodologically, GRAS relies on internationally comparable indicators grouped into five categories: world-class faculty, world-class research output, high-quality research, research impact, and international collaboration. Within these categories, the ranking considers factors such as influential journal publications, citation impact, international academic awards, the presence of highly cited researchers, leadership roles in international academic organizations, and the extent of research collaboration across borders. This multi-indicator approach is designed to reduce the distorting effect of any single metric and to capture different dimensions of academic excellence, from the sheer volume of published work to the recognition a department’s scholars receive from the global scientific community.

For Mathematics, the Hebrew University’s 24th-place finish continues a long tradition. The discipline has historically been one of the university’s flagship fields, associated with pioneering work in logic, analysis, and theoretical computer science, and the 2026 result suggests that this legacy remains fully intact in an era of intensifying global competition. The 17th-place ranking in Communication is equally striking, reflecting a field that has grown rapidly in importance as researchers grapple with digital media, misinformation, and the transformation of public discourse. High placement in Communication signals strong citation performance and international visibility in a discipline where publication venues and scholarly networks are increasingly global.

The university’s showing in Law, at 36th, and Public Administration, at 44th, adds a professional-school dimension to its research profile. These fields are evaluated alongside the same bibliometric and reputational indicators as the natural sciences, which makes strong placements particularly meaningful, since legal scholarship and public administration research are often published in national or regional venues and in languages other than English. Achieving top-50 global status in both fields indicates that the Hebrew University’s legal and policy scholars are publishing in leading international journals, attracting citations from abroad, and participating in cross-border academic networks at rates comparable to the world’s most prominent institutions.

The presence of Dentistry and Oral Sciences in the 51–75 band, along with Economics and Political Sciences in the 76–100 range, further illustrates the breadth of the university’s research base. In the life sciences, placements in the 101–150 range for Biological Sciences and Human Biological Sciences reflect sustained output in fields ranging from molecular biology to neuroscience, while Atmospheric Science points to growing activity in climate and earth-systems research. Social science placements in Sociology, Education, and Psychology round out a profile in which nearly half of the university’s ranked subjects sit within the top 150 worldwide, a ratio that few institutions in the region can match.

University leadership framed the results as a validation of long-term investment in research quality. Prof. Tamir Sheafer, President of the Hebrew University of Jerusalem, said the results reflect both the exceptional quality and the remarkable breadth of research at the institution. Across mathematics, the life sciences, dentistry, law, communication, economics, and public policy, he noted, researchers are advancing knowledge that deepens understanding of the world and helps address its most pressing challenges. He described the international recognition as a testament to the creativity, rigor, and dedication of the academic community, and to the university’s continuing role at the forefront of research in Israel and worldwide.

The broader significance of the result extends beyond institutional pride. Subject-level rankings of this kind are closely watched by prospective graduate students, international research partners, funding agencies, and faculty recruits, all of whom use them as a proxy for the strength of specific departments. A concentration of top-50 placements in fields as varied as Mathematics, Communication, Law, and Public Administration can influence where talented early-career researchers choose to apply, where collaborative projects are initiated, and how international consortia are assembled. For Israeli academia as a whole, the result reinforces the country’s reputation for research excellence in a small national system that consistently punches above its weight in global metrics.

The 2026 edition of the ranking also illustrates how subject-level evaluation has matured into a sophisticated analytical tool. By combining publication counts in influential journals, normalized citation impact, international awards, highly cited researcher counts, organizational leadership, and collaboration measures, GRAS attempts to capture a multidimensional picture of departmental performance that a single composite score cannot provide. For the Hebrew University of Jerusalem, the 2026 results, with four subjects in the global top 50, seven in the top 100, and 13 in the top 150 out of 30 ranked subjects, provide a detailed, data-driven map of where the institution stands in the international research landscape, and a benchmark against which its future performance will be measured when the next edition of the ranking is published.

Subject of Research: Global university subject rankings evaluating research performance across academic disciplines

Article Title: Hebrew University leads Israel with four subjects among world’s top 50 in 2026 Shanghai ranking

Article References: Hebrew University leads Israel with four subjects among world’s top 50 in 2026 Shanghai ranking. (n.d.). Original publication

Image Credits: AI Generated

DOI: Not provided

Keywords: Hebrew University, Shanghai Ranking, Global Ranking of Academic Subjects, Mathematics, Communication, Law, Public Administration, Israel, university rankings, research impact, higher education, academic collaboration