Wen Ye

97 total papers · 1.8k total citations
49 papers, 1.2k citations indexed

About

Wen Ye is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Epidemiology. According to data from OpenAlex, Wen Ye has authored 49 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 12 papers in Endocrinology, Diabetes and Metabolism and 10 papers in Epidemiology. Recurrent topics in Wen Ye's work include Diabetes Management and Research (8 papers), Diabetes Management and Education (5 papers) and Diabetes and associated disorders (5 papers). Wen Ye is often cited by papers focused on Diabetes Management and Research (8 papers), Diabetes Management and Education (5 papers) and Diabetes and associated disorders (5 papers). Wen Ye collaborates with scholars based in United States, China and United Kingdom. Wen Ye's co-authors include Guo-Yuan Yang, Xiaoming Che, A. Lorris Betz, William H. Herman, Blake J. Roessler, Li Pang, Mengtao Zhou, Dinglai Yu, Bicheng Chen and Bin Lou and has published in prestigious journals such as Nature Communications, The Journal of Immunology and Gastroenterology.

In The Last Decade

Wen Ye

43 papers receiving 1.2k citations

Hit Papers

Estimated Burden of Metab... 2025 2026 2025 10 20 30 40

Author Peers

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

Author Last Decade Papers Cites
Wen Ye 389 272 179 158 133 49 1.2k
Dong Hoon Shin 282 0.7× 308 1.1× 170 0.9× 71 0.4× 118 0.9× 58 1.4k
Xiaojuan Liu 263 0.7× 336 1.2× 251 1.4× 55 0.3× 81 0.6× 55 1.0k
Qing Gao 372 1.0× 136 0.5× 125 0.7× 148 0.9× 80 0.6× 80 1.2k
Di Chen 338 0.9× 190 0.7× 190 1.1× 38 0.2× 102 0.8× 53 952
Mohammad Mairaj Siddiquei 490 1.3× 152 0.6× 226 1.3× 93 0.6× 59 0.4× 53 1.4k
Wenhua Yu 585 1.5× 173 0.6× 166 0.9× 56 0.4× 284 2.1× 76 1.4k
Sarah Orr 341 0.9× 118 0.4× 120 0.7× 70 0.4× 83 0.6× 30 1.2k
Eberhard Steiner 373 1.0× 164 0.6× 81 0.5× 74 0.5× 63 0.5× 50 1.1k
Xiaohong Shi 407 1.0× 82 0.3× 104 0.6× 361 2.3× 158 1.2× 53 1.4k
Lora J. Kasselman 436 1.1× 72 0.3× 133 0.7× 102 0.6× 119 0.9× 42 1.3k

Countries citing papers authored by Wen Ye

Since Specialization
Citations

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

Fields of papers citing papers by Wen Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wen 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 Wen Ye. The network helps show where Wen Ye may publish in the future.

Co-authorship network of co-authors of Wen Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Wen Ye. A scholar is included among the top collaborators of Wen 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 Wen Ye. Wen 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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