King University

1.5k papers and 26.0k indexed citations i.

About

In recent decades, authors affiliated with King University have published 1.5k papers, which have received a total of 26.0k indexed citations. Scholars at this organization have produced 166 papers in Molecular Biology, 116 papers in Artificial Intelligence and 102 papers in Sociology and Political Science on the topics of Renal Diseases and Glomerulopathies (52 papers), Dental materials and restorations (43 papers) and Topic Modeling (42 papers). Their work is cited by papers focused on Molecular Biology (2.9k citations), Organizational Behavior and Human Resource Management (2.2k citations) and Biomedical Engineering (1.9k citations). Authors at King University collaborate with scholars in United States, China and United Kingdom and have published in prestigious journals including Nature, Proceedings of the National Academy of Sciences and Physical Review Letters. Some of King University's most productive authors include Anne S. Tsui, Zhen Xiong Chen, C. Nathan DeWall, Kathleen D. Vohs, Liqing Zhang, Roy F. Baumeister, Lei Xu, Kenneth S. Law, Rick D. Hackett and Hui Wang.

In The Last Decade

Fields of papers published by authors at King University

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with King University at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with King University at the time of their publication.

Countries citing scholars working at King University

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at King University. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers produced at King University with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites King University more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

Explore institutions with similar magnitude of impact

Rankless by CCL
2025