Kang Chen

53 total papers · 1.5k total citations
38 papers, 1.1k citations indexed

About

Kang Chen is a scholar working on Pharmacology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Kang Chen has authored 38 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Pharmacology, 11 papers in Molecular Biology and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Kang Chen's work include Neuroscience and Neuropharmacology Research (5 papers), Microbial Natural Products and Biosynthesis (4 papers) and Neuropeptides and Animal Physiology (3 papers). Kang Chen is often cited by papers focused on Neuroscience and Neuropharmacology Research (5 papers), Microbial Natural Products and Biosynthesis (4 papers) and Neuropeptides and Animal Physiology (3 papers). Kang Chen collaborates with scholars based in China, United States and Japan. Kang Chen's co-authors include Tallie Z. Baram, Ildikó Aradi, Niklas Thon, Ivan Soltesz, Mariam Eghbal-Ahmadi, Ken Mackie, Lutz G.W. Hilgenberg, Iván Soltész, Yuan Sun and Yoshio Shigenaga and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Medicine and Neuron.

In The Last Decade

Kang Chen

34 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Kang Chen 634 342 265 240 205 38 1.1k
Pierangelo Cifelli 537 0.8× 389 1.1× 190 0.7× 119 0.5× 287 1.4× 39 1.1k
J. M. A. Sitsen 273 0.4× 606 1.8× 295 1.1× 67 0.3× 266 1.3× 42 1.4k
Yilong Cui 307 0.5× 327 1.0× 109 0.4× 99 0.4× 178 0.9× 71 1.3k
Liming Zhang 365 0.6× 364 1.1× 190 0.7× 206 0.9× 74 0.4× 63 1.4k
Amar Jyoti 195 0.3× 356 1.0× 154 0.6× 163 0.7× 52 0.3× 25 1.4k
Brian Henry 836 1.3× 246 0.7× 151 0.6× 147 0.6× 89 0.4× 34 1.5k
Guang Chen 284 0.4× 567 1.7× 91 0.3× 71 0.3× 338 1.6× 38 1.3k
Roberto Maj 973 1.5× 396 1.2× 149 0.6× 301 1.3× 156 0.8× 33 1.4k
Heather Wilson 424 0.7× 282 0.8× 68 0.3× 223 0.9× 123 0.6× 50 1.5k
Merav Bassan 613 1.0× 594 1.7× 82 0.3× 78 0.3× 106 0.5× 32 1.3k

Countries citing papers authored by Kang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Kang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kang Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Kang Chen. A scholar is included among the top collaborators of Kang 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 Kang Chen. Kang 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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2026