Gang Ye

101 papers and 2.4k indexed citations i.

About

Gang Ye is a scholar working on Epidemiology, Surgery and Molecular Biology. According to data from OpenAlex, Gang Ye has authored 101 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Epidemiology, 21 papers in Surgery and 18 papers in Molecular Biology. Recurrent topics in Gang Ye’s work include Antibiotic Use and Resistance (13 papers), Antibiotic Resistance in Bacteria (12 papers) and Urinary Tract Infections Management (10 papers). Gang Ye is often cited by papers focused on Antibiotic Use and Resistance (13 papers), Antibiotic Resistance in Bacteria (12 papers) and Urinary Tract Infections Management (10 papers). Gang Ye collaborates with scholars based in China, United States and United Kingdom. Gang Ye's co-authors include Paul N. Epstein, Naira Metreveli, Vikas Gupta, Jun Ren, Rajakumar V. Donthi, Xia Shen, Kalvin Yu, Edward C. Carlson, Ming Xu and Victor E. Reyes and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and Blood.

In The Last Decade

Co-authorship network of co-authors of Gang Ye i

Fields of papers citing papers by Gang Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gang Ye. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Gang Ye. The network helps show where Gang Ye may publish in the future.

Countries citing papers authored by Gang Ye

Since Specialization
Citations

This map shows the geographic impact of Gang Ye's research. 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 Gang Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gang Ye 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.

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2025