Bei Chen

272 total papers · 6.0k total citations
188 papers, 4.3k citations indexed

About

Bei Chen is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Bei Chen has authored 188 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Molecular Biology, 28 papers in Oncology and 26 papers in Surgery. Recurrent topics in Bei Chen's work include Sinusitis and nasal conditions (19 papers), Protein Hydrolysis and Bioactive Peptides (11 papers) and Head and Neck Surgical Oncology (8 papers). Bei Chen is often cited by papers focused on Sinusitis and nasal conditions (19 papers), Protein Hydrolysis and Bioactive Peptides (11 papers) and Head and Neck Surgical Oncology (8 papers). Bei Chen collaborates with scholars based in China, United States and Japan. Bei Chen's co-authors include Noam A. Cohen, James N. Palmer, David W. Kennedy, Kun Wang, Laurel Doghramji, Robert J. Lee, Nithin D. Adappa, Baofeng Li, James L. Kreindler and Yoshihisa Takaishi and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.

In The Last Decade

Bei Chen

177 papers receiving 4.2k citations

Author Peers

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

Author Last Decade Papers Cites
Bei Chen 1.6k 502 484 451 430 188 4.3k
Jin Ho Chung 2.4k 1.5× 693 1.4× 334 0.7× 367 0.8× 369 0.9× 274 9.1k
Yanxia Wang 2.5k 1.6× 517 1.0× 395 0.8× 143 0.3× 490 1.1× 242 5.9k
Christian Slomianny 3.5k 2.2× 623 1.2× 334 0.7× 365 0.8× 389 0.9× 151 7.4k
Sang Ho Oh 988 0.6× 526 1.0× 191 0.4× 707 1.6× 200 0.5× 209 4.7k
Mohamed Benahmed 2.3k 1.5× 528 1.1× 166 0.3× 204 0.5× 315 0.7× 181 5.9k
Hui Dong 2.3k 1.4× 404 0.8× 177 0.4× 256 0.6× 617 1.4× 223 5.5k
Theodora M. Mauro 2.0k 1.3× 558 1.1× 186 0.4× 282 0.6× 170 0.4× 124 6.4k
Markus Böhm 1.6k 1.0× 939 1.9× 125 0.3× 774 1.7× 205 0.5× 179 6.4k
Meinhard Wlaschek 2.4k 1.5× 1.1k 2.1× 262 0.5× 250 0.6× 623 1.4× 96 7.6k
Marshall H. Montrose 3.6k 2.2× 551 1.1× 471 1.0× 661 1.5× 609 1.4× 138 6.8k

Countries citing papers authored by Bei Chen

Since Specialization
Citations

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

Fields of papers citing papers by Bei Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bei Chen

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