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QS ranking profile

Nankai University

China (Mainland) Public

This page presents clearly labeled QS ranking data for orientation. It does not verify programs, supervisors, funding, admission requirements, or the university's website.

QS 2026 rank
#355
Up 22 places since 2025
QS 2025 rank
#377
Overall score
41.2
Verified Catalog STEM PhDs, Postdocs & Fellowships

Explore opportunities at Nankai University

Browse active research positions, doctoral fellowships, and university funding calls indexed from official faculties and verified sources.

QS indicators

Reported ranking indicators

Each indicator is scored out of 100 in the same QS snapshot as the summary above.

Academic reputation 27.1

#464 worldwide

Employer reputation 24.4

#552 worldwide

Faculty-student ratio 28.8

#659 worldwide

Citations per faculty 93.9

#81 worldwide

International faculty ratio 17.8

#749 worldwide

International student ratio 5

#801 worldwide

International student diversity 3.9

#801 worldwide

International research network 56.1

#748 worldwide

Employment outcomes 47.3

#370 worldwide

Sustainability 44.9

#801 worldwide

Institution profile

How QS classifies this institution

QS groups institutions by size, subject range, and research output.

Size
Extra large
More than 30,000 students
Subject range
Focused
Teaches a limited range of faculty areas
Research intensity
Very high
Very high research output in the QS classification
Region
Asia
QS regional grouping

University profile

About Nankai University

Editorial background written for orientation. Verify programs, funding, and admission on the university's official pages.

Nankai University makes research visible through topics, research units, and recent reports

Nankai University's English research page presents a broad route into its scholarly activity. It points to natural sciences and humanities and social sciences, names almost one hundred research institutes and centres associated with the university, and links research to colleges, schools, publications, and facilities. The page also groups several public themes under titles such as materials science, chemistry, computer science, air, earth and water, biotechnology, and applied physics. These labels support discovery, but they do not describe a uniform body of work. A chemistry question can concern a reaction, material, molecule, process, or instrument. A computing question can concern a model, data structure, system, or social use. The research setting becomes meaningful only when a local description identifies the particular object and approach.

The publication list also signals that the university's public research environment crosses several forms of scholarship. It includes titles connected with business, ion exchange and adsorption, natural sciences, economics, and literature and cultural studies. A journal title can indicate that a field is visible in an institutional publication landscape, but it cannot by itself establish a current group, project, or method. The most careful use of this material is to record the relevant research area, then seek a nearer page that explains what scholars are examining. That distinction is especially important when a reader moves between laboratory work, quantitative analysis, economic inquiry, and humanities research.

Recent Nankai reports illustrate how a broad research label becomes a specific problem

The research page has carried reports on perovskite photovoltaics, multidimensional diagnosis and treatment of atherosclerotic plaques, silicon-based broadband photodetection, high-energy-density lithium batteries, flexible topological lasers, and a solid-state battery test. These are reports of particular research results and should not be used as permanent descriptions of every unit at Nankai University. They are useful because each one contains a more definite research object than the word science or engineering. A photovoltaic study can call for materials, interfaces, device performance, or physical mechanisms. A medical technology question can require biological material, imaging, clinical context, or data interpretation. A photodetection or laser question can involve optical properties, devices, measurement, and modelling.

The examples also show why it is risky to infer a method from a topic alone. Battery work may involve electrochemistry, component design, testing, safety questions, manufacturing, or energy systems. Atherosclerosis research can involve molecular processes, diagnostics, patient data, imaging, or intervention design. The right next source is therefore not simply a central news item. It is a current institute, laboratory, faculty, researcher, or project page that names the specific material, process, or evidence. A narrow record provides a better basis for understanding a research connection than a striking headline can provide on its own.

Turn a Nankai research interest into a question that another reader can check

For Nankai University, start with a concrete sentence about the phenomenon to be studied. It could be a solar-cell interface, a battery component, an optical response, a biological pathway, a water condition, an economic decision, a literary text, or a cultural practice. Then add the evidence needed to investigate it. Samples, spectra, sensor readings, images, experiments, models, documents, data records, interviews, or texts point toward different scholarly settings. This formulation keeps a search connected to research practice rather than to a broad institutional label. It also creates a useful test for a potential match: does a current public record name both the object and the kind of evidence?

A final Nankai note should identify the specific academic setting, describe the research object in plain language, state the visible method or material, and preserve any uncertainty. The public research map can guide the first steps because it makes multiple fields and research units visible. The more detailed connection, however, belongs to the closest current evidence. If a page only shows a general theme, describe it as a lead. If it names a laboratory practice, dataset, material, or project question, that is stronger support for a focused research profile.