Chen Bai

38 total papers · 1.4k total citations
29 papers, 253 citations indexed

About

Chen Bai is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Chen Bai has authored 29 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Chen Bai's work include Receptor Mechanisms and Signaling (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Chen Bai is often cited by papers focused on Receptor Mechanisms and Signaling (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Chen Bai collaborates with scholars based in China, United States and Japan. Chen Bai's co-authors include Arieh Warshel, Yang Du, Richard D. Ye, Ke An, Mikołaj Feliks, Raphael Alhadeff, Myungjin Lee, Arjun Saha, Junlin Wang and Geng Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Chen Bai

25 papers receiving 252 citations

Author Peers

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

Author Last Decade Papers Cites
Chen Bai 184 75 57 47 33 29 253
Georges Czaplicki 227 1.2× 33 0.4× 68 1.2× 18 0.4× 30 0.9× 22 327
Raphael Alhadeff 208 1.1× 28 0.4× 36 0.6× 16 0.3× 16 0.5× 18 308
Hyeonuk Woo 186 1.0× 162 2.2× 32 0.6× 55 1.2× 50 1.5× 11 327
Jeremy R. Hershfield 169 0.9× 24 0.3× 25 0.4× 71 1.5× 10 0.3× 14 331
Elisabeth Laurent 121 0.7× 55 0.7× 16 0.3× 22 0.5× 11 0.3× 20 261
Nicole G. Metzendorf 174 0.9× 45 0.6× 19 0.3× 52 1.1× 28 0.8× 22 327
Ieva Drulyte 158 0.9× 79 1.1× 13 0.2× 23 0.5× 8 0.2× 14 291
Nikhil Kumar Tulsian 172 0.9× 92 1.2× 13 0.2× 16 0.3× 32 1.0× 27 316
Shristi Pawnikar 197 1.1× 23 0.3× 18 0.3× 17 0.4× 59 1.8× 14 282
Hamed S. Hayatshahi 255 1.4× 15 0.2× 25 0.4× 41 0.9× 49 1.5× 18 289

Countries citing papers authored by Chen Bai

Since Specialization
Citations

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

Fields of papers citing papers by Chen Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chen Bai

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