Jin Feng

43 total papers · 777 total citations
20 papers, 613 citations indexed

About

Jin Feng is a scholar working on Surgery, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Jin Feng has authored 20 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 6 papers in Molecular Biology and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Jin Feng's work include Pancreatic function and diabetes (4 papers), Atherosclerosis and Cardiovascular Diseases (3 papers) and Lipid metabolism and disorders (3 papers). Jin Feng is often cited by papers focused on Pancreatic function and diabetes (4 papers), Atherosclerosis and Cardiovascular Diseases (3 papers) and Lipid metabolism and disorders (3 papers). Jin Feng collaborates with scholars based in China, United States and Singapore. Jin Feng's co-authors include Yun Zhang, Chun Xi Liu, Tianpei Hong, Rui Wei, Tianjiao Wei, Eldo E. Frezza, Xiaona Cui, Yu Zhao, Xu Ping Wang and Jin Yang and has published in prestigious journals such as Gastroenterology, Annals of Surgery and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Jin Feng

20 papers receiving 603 citations

Author Peers

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

Author Last Decade Papers Cites
Jin Feng 223 184 183 168 111 20 613
Jana Ortmann 177 0.8× 215 1.2× 83 0.5× 189 1.1× 183 1.6× 22 697
Cecilia Vitali 255 1.1× 151 0.8× 165 0.9× 64 0.4× 91 0.8× 25 559
Mikihiko Kawano 151 0.7× 157 0.9× 108 0.6× 98 0.6× 127 1.1× 25 571
Guangda Xiang 95 0.4× 227 1.2× 188 1.0× 127 0.8× 102 0.9× 34 624
C.G. Vinagre 168 0.8× 110 0.6× 172 0.9× 134 0.8× 135 1.2× 33 633
Christian Zellner 192 0.9× 105 0.6× 143 0.8× 168 1.0× 53 0.5× 22 543
Erik R. Walp 261 1.2× 244 1.3× 108 0.6× 138 0.8× 104 0.9× 14 674
Ossama M. Reslan 129 0.6× 114 0.6× 141 0.8× 107 0.6× 94 0.8× 24 647
Hajime Nakaoka 172 0.8× 189 1.0× 130 0.7× 137 0.8× 84 0.8× 29 569
Nozomi Fukai 196 0.9× 177 1.0× 177 1.0× 123 0.7× 81 0.7× 18 576

Countries citing papers authored by Jin Feng

Since Specialization
Citations

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

Fields of papers citing papers by Jin Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Feng

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