Peixin Chen

62 total papers · 2.2k total citations
39 papers, 1.3k citations indexed

About

Peixin Chen is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Peixin Chen has authored 39 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Oncology, 15 papers in Molecular Biology and 12 papers in Cancer Research. Recurrent topics in Peixin Chen's work include Lung Cancer Research Studies (13 papers), Cancer Immunotherapy and Biomarkers (9 papers) and Neuroendocrine Tumor Research Advances (7 papers). Peixin Chen is often cited by papers focused on Lung Cancer Research Studies (13 papers), Cancer Immunotherapy and Biomarkers (9 papers) and Neuroendocrine Tumor Research Advances (7 papers). Peixin Chen collaborates with scholars based in China, Taiwan and Macao. Peixin Chen's co-authors include Yayi He, Caicun Zhou, Yunhuan Liu, Yaokai Wen, Minlin Jiang, Sha Zhao, Caicun Zhou, Lingyun Ye, Bin Chen and Yu Liu and has published in prestigious journals such as Nucleic Acids Research, Small and Seminars in Cancer Biology.

In The Last Decade

Peixin Chen

39 papers receiving 1.3k citations

Hit Papers

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Author Peers

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

Author Last Decade Papers Cites
Peixin Chen 611 492 440 313 233 39 1.3k
Minlin Jiang 558 0.9× 399 0.8× 432 1.0× 274 0.9× 241 1.0× 29 1.1k
Caicun Zhou 682 1.1× 840 1.7× 780 1.8× 276 0.9× 248 1.1× 49 1.6k
Yuh‐Pyng Sher 773 1.3× 450 0.9× 382 0.9× 300 1.0× 374 1.6× 52 1.7k
Purnima Dubey 554 0.9× 485 1.0× 582 1.3× 251 0.8× 141 0.6× 45 1.5k
Liang Duan 738 1.2× 399 0.8× 450 1.0× 460 1.5× 281 1.2× 74 1.6k
Ling Fu 557 0.9× 596 1.2× 329 0.7× 326 1.0× 255 1.1× 58 1.5k
Tianyu Tang 578 0.9× 786 1.6× 564 1.3× 278 0.9× 204 0.9× 44 1.6k
Weixing Du 541 0.9× 435 0.9× 373 0.8× 336 1.1× 314 1.3× 25 1.2k
Camillo Palmieri 646 1.1× 451 0.9× 485 1.1× 147 0.5× 259 1.1× 52 1.4k
Robert K. Bright 670 1.1× 477 1.0× 497 1.1× 314 1.0× 202 0.9× 60 1.5k

Countries citing papers authored by Peixin Chen

Since Specialization
Citations

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

Fields of papers citing papers by Peixin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peixin Chen

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