Fei Wen

67 total papers · 3.4k total citations
45 papers, 1.6k citations indexed

About

Fei Wen is a scholar working on Molecular Biology, Biomedical Engineering and Immunology. According to data from OpenAlex, Fei Wen has authored 45 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 13 papers in Biomedical Engineering and 12 papers in Immunology. Recurrent topics in Fei Wen's work include Enzyme Catalysis and Immobilization (9 papers), Biofuel production and bioconversion (8 papers) and T-cell and B-cell Immunology (7 papers). Fei Wen is often cited by papers focused on Enzyme Catalysis and Immobilization (9 papers), Biofuel production and bioconversion (8 papers) and T-cell and B-cell Immunology (7 papers). Fei Wen collaborates with scholars based in United States, China and South Korea. Fei Wen's co-authors include Huimin Zhao, Jie Sun, Brett Hill, Nikhil U. Nair, Mason R. Smith, Eshita Khera, Syed Rizvi, Jin Imai, Merritt Gillilland and Atsushi Hayashi and has published in prestigious journals such as Cell, Applied and Environmental Microbiology and Bioresource Technology.

In The Last Decade

Fei Wen

44 papers receiving 1.6k citations

Hit Papers

The Intermucosal Connecti... 2020 2026 2022 2024 2020 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Fei Wen 1.0k 455 265 214 184 45 1.6k
Zhou Chen 593 0.6× 297 0.7× 209 0.8× 115 0.5× 81 0.4× 82 1.6k
Charlotte Jeanneau 865 0.8× 189 0.4× 230 0.9× 90 0.4× 115 0.6× 39 2.0k
Ulrich Eckhard 999 1.0× 363 0.8× 122 0.5× 79 0.4× 163 0.9× 49 2.3k
Takao Fukuda 983 1.0× 223 0.5× 217 0.8× 119 0.6× 68 0.4× 85 1.9k
Thomas J. Knobloch 881 0.9× 248 0.5× 306 1.2× 165 0.8× 51 0.3× 73 2.2k
Hee Sam Na 577 0.6× 152 0.3× 306 1.2× 338 1.6× 74 0.4× 68 1.5k
Carsten Scavenius 627 0.6× 205 0.5× 196 0.7× 121 0.6× 34 0.2× 76 1.8k
Bong-Soo Park 789 0.8× 211 0.5× 72 0.3× 206 1.0× 62 0.3× 85 1.9k
Rudee Surarit 496 0.5× 136 0.3× 89 0.3× 338 1.6× 140 0.8× 102 1.6k
Toshinori Okinaga 633 0.6× 137 0.3× 231 0.9× 306 1.4× 29 0.2× 76 1.5k

Countries citing papers authored by Fei Wen

Since Specialization
Citations

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

Fields of papers citing papers by Fei Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Wen

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