Sheng Ma

20 total papers · 1.1k total citations
16 papers, 836 citations indexed

About

Sheng Ma is a scholar working on Molecular Biology, Cell Biology and Pharmacology. According to data from OpenAlex, Sheng Ma has authored 16 papers receiving a total of 836 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Cell Biology and 3 papers in Pharmacology. Recurrent topics in Sheng Ma's work include Microtubule and mitosis dynamics (4 papers), Bacterial biofilms and quorum sensing (3 papers) and Listeria monocytogenes in Food Safety (2 papers). Sheng Ma is often cited by papers focused on Microtubule and mitosis dynamics (4 papers), Bacterial biofilms and quorum sensing (3 papers) and Listeria monocytogenes in Food Safety (2 papers). Sheng Ma collaborates with scholars based in China, United States and Canada. Sheng Ma's co-authors include Raymond L. Erikson, Young-Joo Jang, Yasuhiko Terada, Young‐Joo Jang, Jean Charron, Chin‐Yo Lin, Daniel J. Wozniak, Dennis E. Ohman, Daniel J. Hassett and Suzanne Vigneron and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Molecular and Cellular Biology.

In The Last Decade

Sheng Ma

16 papers receiving 822 citations

Author Peers

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

Author Last Decade Papers Cites
Sheng Ma 631 454 203 78 60 16 836
Ha‐Won Jeong 677 1.1× 178 0.4× 103 0.5× 65 0.8× 66 1.1× 19 920
Ingrid C. McCall 424 0.7× 145 0.3× 73 0.4× 165 2.1× 30 0.5× 16 927
Christophe Barthe 484 0.8× 109 0.2× 57 0.3× 104 1.3× 29 0.5× 22 987
Shirley Qiu 602 1.0× 241 0.5× 135 0.7× 29 0.4× 51 0.8× 22 893
Marganit Farago 656 1.0× 85 0.2× 189 0.9× 134 1.7× 97 1.6× 24 1.0k
Brent Holmes 532 0.8× 131 0.3× 52 0.3× 21 0.3× 49 0.8× 35 968
Desmond N. Jackson 462 0.7× 90 0.2× 184 0.9× 36 0.5× 24 0.4× 18 887
Hsuan-Ting Huang 781 1.2× 167 0.4× 101 0.5× 137 1.8× 16 0.3× 17 957
José B. Sáenz 280 0.4× 137 0.3× 102 0.5× 80 1.0× 34 0.6× 18 751
Guy J. Leclerc 515 0.8× 73 0.2× 87 0.4× 76 1.0× 47 0.8× 28 797

Countries citing papers authored by Sheng Ma

Since Specialization
Citations

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

Fields of papers citing papers by Sheng Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng Ma

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