Wen‐Bing Jin

36 total papers · 2.1k total citations
26 papers, 1.2k citations indexed

About

Wen‐Bing Jin is a scholar working on Molecular Biology, Infectious Diseases and Oncology. According to data from OpenAlex, Wen‐Bing Jin has authored 26 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Infectious Diseases and 3 papers in Oncology. Recurrent topics in Wen‐Bing Jin's work include Gut microbiota and health (9 papers), Clostridium difficile and Clostridium perfringens research (5 papers) and Metalloenzymes and iron-sulfur proteins (2 papers). Wen‐Bing Jin is often cited by papers focused on Gut microbiota and health (9 papers), Clostridium difficile and Clostridium perfringens research (5 papers) and Metalloenzymes and iron-sulfur proteins (2 papers). Wen‐Bing Jin collaborates with scholars based in United States, China and Russia. Wen‐Bing Jin's co-authors include Chun‐Jun Guo, John Hambor, Krishna Kadaveru, Alexander Y. Rudensky, Daniel Konstantinovsky, Peter T. McKenney, Justin R. Cross, Sara Violante, Michail Schizas and Jacob Verter and has published in prestigious journals such as Nature, Cell and Nature Communications.

In The Last Decade

Wen‐Bing Jin

22 papers receiving 1.2k citations

Hit Papers

Bacterial metabolism of b... 2020 2026 2022 2024 2020 2024 2025 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Wen‐Bing Jin 788 235 213 161 160 26 1.2k
Seiko Narushima 690 0.9× 257 1.1× 162 0.8× 142 0.9× 227 1.4× 31 1.1k
Qihong Zhao 768 1.0× 205 0.9× 190 0.9× 218 1.4× 354 2.2× 22 1.3k
Chenggong Yu 866 1.1× 242 1.0× 125 0.6× 168 1.0× 132 0.8× 33 1.4k
Yadong Qi 996 1.3× 148 0.6× 250 1.2× 176 1.1× 188 1.2× 21 1.5k
Meiyu Piao 818 1.0× 307 1.3× 139 0.7× 218 1.4× 88 0.6× 22 1.3k
Leiqi Xu 934 1.2× 172 0.7× 120 0.6× 237 1.5× 276 1.7× 22 1.5k
Stéphan Bouet 806 1.0× 186 0.8× 107 0.5× 169 1.0× 130 0.8× 25 1.3k
Céline Mulet 693 0.9× 163 0.7× 125 0.6× 216 1.3× 99 0.6× 28 1.0k
Jamma Trinath 737 0.9× 196 0.8× 265 1.2× 142 0.9× 378 2.4× 26 1.4k
Leigh Maher 720 0.9× 199 0.8× 155 0.7× 260 1.6× 292 1.8× 12 1.3k

Countries citing papers authored by Wen‐Bing Jin

Since Specialization
Citations

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

Fields of papers citing papers by Wen‐Bing Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wen‐Bing Jin

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