Gang Ye

115 total papers · 10.0k total citations
88 papers, 6.6k citations indexed

About

Gang Ye is a scholar working on Infectious Diseases, Animal Science and Zoology and Plant Science. According to data from OpenAlex, Gang Ye has authored 88 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Infectious Diseases, 17 papers in Animal Science and Zoology and 16 papers in Plant Science. Recurrent topics in Gang Ye's work include SARS-CoV-2 and COVID-19 Research (19 papers), Animal Virus Infections Studies (17 papers) and Viral gastroenteritis research and epidemiology (15 papers). Gang Ye is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (19 papers), Animal Virus Infections Studies (17 papers) and Viral gastroenteritis research and epidemiology (15 papers). Gang Ye collaborates with scholars based in China, United States and Switzerland. Gang Ye's co-authors include Fang Li, Qibin Geng, Yushun Wan, Jian Shang, Ashley A. Auerbach, Chuming Luo, Ke Shi, Hideki Aihara, Zhen F. Fu and Shaobo Xiao and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Gang Ye

83 papers receiving 6.5k citations

Hit Papers

Structural basis of recep... 2020 2026 2022 2024 2020 2020 500 1000 1.5k 2.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Gang Ye 4.4k 1.6k 758 660 659 88 6.6k
Mohan Somasundaran 4.5k 1.0× 1.3k 0.8× 735 1.0× 796 1.2× 377 0.6× 61 6.6k
Anthony R. Fehr 4.5k 1.0× 1.5k 0.9× 725 1.0× 924 1.4× 453 0.7× 52 6.8k
Qibin Geng 4.8k 1.1× 1.3k 0.8× 743 1.0× 726 1.1× 610 0.9× 27 5.9k
Qisheng Wang 5.2k 1.2× 2.5k 1.5× 565 0.7× 564 0.9× 1.3k 2.0× 59 7.5k
Shuofeng Yuan 4.4k 1.0× 1.4k 0.8× 467 0.6× 790 1.2× 417 0.6× 110 6.6k
Timothy P. Sheahan 5.8k 1.3× 1.4k 0.8× 816 1.1× 1.2k 1.8× 424 0.6× 82 8.0k
Guangwen Lu 4.6k 1.0× 1.6k 1.0× 1.2k 1.6× 346 0.5× 530 0.8× 82 6.4k
Amy Sims 5.5k 1.2× 1.2k 0.8× 1.4k 1.9× 875 1.3× 419 0.6× 75 7.2k
Kazuya Shirato 3.8k 0.8× 1.2k 0.8× 797 1.1× 473 0.7× 290 0.4× 164 7.8k
Jian Shang 7.5k 1.7× 2.1k 1.3× 1.0k 1.4× 1.5k 2.2× 889 1.3× 57 9.7k

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).

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.

Co-authorship network of co-authors of Gang Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Gang Ye. A scholar is included among the top collaborators of Gang Ye based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gang Ye. Gang Ye is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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