Pu Yan

30 total papers · 837 total citations
14 papers, 487 citations indexed

About

Pu Yan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Organic Chemistry. According to data from OpenAlex, Pu Yan has authored 14 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Organic Chemistry. Recurrent topics in Pu Yan's work include Histone Deacetylase Inhibitors Research (4 papers), Protein Degradation and Inhibitors (4 papers) and Circular RNAs in diseases (2 papers). Pu Yan is often cited by papers focused on Histone Deacetylase Inhibitors Research (4 papers), Protein Degradation and Inhibitors (4 papers) and Circular RNAs in diseases (2 papers). Pu Yan collaborates with scholars based in China, Switzerland and Netherlands. Pu Yan's co-authors include Daniel Delorme, Zuomei Li, Marie-Claude Trachy-Bourget, Jeffrey M. Besterman, Marielle Fournel, A. Robert MacLeod, Oscar Moradei, Ann Kalita, Marie‐France Robert and Jinru Wang and has published in prestigious journals such as Cancer Research, Journal of Medicinal Chemistry and Molecular Cancer Therapeutics.

In The Last Decade

Pu Yan

13 papers receiving 468 citations

Author Peers

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

Author Last Decade Papers Cites
Pu Yan 398 130 91 27 26 14 487
Ming Guo 352 0.9× 133 1.0× 130 1.4× 20 0.7× 25 1.0× 14 534
James R. Porter 350 0.9× 59 0.5× 60 0.7× 28 1.0× 18 0.7× 12 483
Annie Olivier 262 0.7× 153 1.2× 160 1.8× 17 0.6× 25 1.0× 12 492
Susan Lukas 279 0.7× 73 0.6× 74 0.8× 11 0.4× 41 1.6× 14 438
Christopher S. Lyle 342 0.9× 172 1.3× 34 0.4× 20 0.7× 34 1.3× 12 500
Kevin Lou 262 0.7× 176 1.4× 58 0.6× 39 1.4× 18 0.7× 10 487
Deborah Moshinsky 269 0.7× 166 1.3× 32 0.4× 28 1.0× 24 0.9× 13 430
Yoh Terada 326 0.8× 65 0.5× 75 0.8× 42 1.6× 11 0.4× 15 481
Carmen Burkhardt 310 0.8× 178 1.4× 37 0.4× 10 0.4× 38 1.5× 13 467
Chung Sik Choi 209 0.5× 253 1.9× 55 0.6× 10 0.4× 38 1.5× 11 509

Countries citing papers authored by Pu Yan

Since Specialization
Citations

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

Fields of papers citing papers by Pu Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pu Yan

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