Bicheng Nan

21 total papers · 827 total citations
13 papers, 686 citations indexed

About

Bicheng Nan is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Bicheng Nan has authored 13 papers receiving a total of 686 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Oncology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Bicheng Nan's work include Cell death mechanisms and regulation (4 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and Prostate Cancer Treatment and Research (3 papers). Bicheng Nan is often cited by papers focused on Cell death mechanisms and regulation (4 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and Prostate Cancer Treatment and Research (3 papers). Bicheng Nan collaborates with scholars based in United States, Switzerland and Canada. Bicheng Nan's co-authors include Marco Marcelli, Emmanual Unni, Changyi Chen, Peter H. Lin, Boris J. Cheskis, Michael A. Mancini, Michael J. McPhaul, Shihua Sun, Qing Yao and Alan B. Lumsden and has published in prestigious journals such as Cancer Research, The Journal of Comparative Neurology and Oncogene.

In The Last Decade

Bicheng Nan

13 papers receiving 679 citations

Author Peers

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

Author Last Decade Papers Cites
Bicheng Nan 319 170 145 124 91 13 686
Lisa S. Ang 275 0.9× 250 1.5× 59 0.4× 114 0.9× 66 0.7× 14 714
P S Cohen 315 1.0× 76 0.4× 47 0.3× 112 0.9× 56 0.6× 14 719
Juergen Fingerle 184 0.6× 99 0.6× 156 1.1× 51 0.4× 127 1.4× 12 611
Din‐Lii Lin 381 1.2× 233 1.4× 183 1.3× 212 1.7× 158 1.7× 13 729
Karen Verity 233 0.7× 94 0.6× 113 0.8× 53 0.4× 204 2.2× 12 568
Bernhard Gess 402 1.3× 66 0.4× 100 0.7× 55 0.4× 65 0.7× 21 751
Karen A. Klein 277 0.9× 239 1.4× 103 0.7× 118 1.0× 71 0.8× 9 666
Éva Dizin 443 1.4× 88 0.5× 114 0.8× 84 0.7× 60 0.7× 19 764
David C. Bedford 460 1.4× 49 0.3× 102 0.7× 122 1.0× 60 0.7× 12 770
Nankang Hong 256 0.8× 55 0.3× 94 0.6× 84 0.7× 83 0.9× 14 648

Countries citing papers authored by Bicheng Nan

Since Specialization
Citations

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

Fields of papers citing papers by Bicheng Nan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bicheng Nan

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