Yuan Ren

65 total papers · 983 total citations
41 papers, 683 citations indexed

About

Yuan Ren is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Yuan Ren has authored 41 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 14 papers in Cell Biology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Yuan Ren's work include Cellular Mechanics and Interactions (8 papers), Microtubule and mitosis dynamics (6 papers) and Cellular transport and secretion (5 papers). Yuan Ren is often cited by papers focused on Cellular Mechanics and Interactions (8 papers), Microtubule and mitosis dynamics (6 papers) and Cellular transport and secretion (5 papers). Yuan Ren collaborates with scholars based in China, United States and South Africa. Yuan Ren's co-authors include Daniel M. Suter, Jun Zhou, Dengwen Li, Min Liu, Yuan He, Chi Zhang, Sarah K. Ohlemacher, Julien Berro, Michael Edler and Clarisse M. Fligor and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and SHILAP Revista de lepidopterología.

In The Last Decade

Yuan Ren

38 papers receiving 678 citations

Author Peers

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

Author Last Decade Papers Cites
Yuan Ren 436 152 87 86 57 41 683
Hye Young Shin 372 0.9× 46 0.3× 76 0.9× 62 0.7× 80 1.4× 29 722
Hongguang Lü 202 0.5× 145 1.0× 57 0.7× 97 1.1× 14 0.2× 58 737
Rafael Peláez 329 0.8× 115 0.8× 32 0.4× 127 1.5× 64 1.1× 33 629
Alka Chaubey 368 0.8× 68 0.4× 37 0.4× 26 0.3× 44 0.8× 49 771
Je‐Hyun Baek 396 0.9× 53 0.3× 51 0.6× 37 0.4× 96 1.7× 36 582
Sungho Shin 389 0.9× 44 0.3× 45 0.5× 33 0.4× 29 0.5× 32 717
Krishnakumar N. Menon 343 0.8× 57 0.4× 56 0.6× 66 0.8× 11 0.2× 40 722
Fei Hou 285 0.7× 90 0.6× 23 0.3× 91 1.1× 51 0.9× 42 669
Manuela Bozzi 519 1.2× 123 0.8× 65 0.7× 42 0.5× 7 0.1× 45 788
Laura Collins 195 0.4× 70 0.5× 23 0.3× 84 1.0× 57 1.0× 30 611

Countries citing papers authored by Yuan Ren

Since Specialization
Citations

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

Fields of papers citing papers by Yuan Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuan Ren

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