Sheng‐mei Ma

100 total papers · 2.2k total citations
35 papers, 1.3k citations indexed

About

Sheng‐mei Ma is a scholar working on Cultural Studies, Molecular Biology and Physiology. According to data from OpenAlex, Sheng‐mei Ma has authored 35 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cultural Studies, 8 papers in Molecular Biology and 5 papers in Physiology. Recurrent topics in Sheng‐mei Ma's work include Asian American and Pacific Histories (7 papers), Alzheimer's disease research and treatments (4 papers) and Asian Culture and Media Studies (3 papers). Sheng‐mei Ma is often cited by papers focused on Asian American and Pacific Histories (7 papers), Alzheimer's disease research and treatments (4 papers) and Asian Culture and Media Studies (3 papers). Sheng‐mei Ma collaborates with scholars based in United States, China and Cameroon. Sheng‐mei Ma's co-authors include David M. Holtzman, Phillip D. Zamore, Kiran Yanamandra, Marc I. Diamond, Thomas E. Mahan, Susan E. Maloney, David F. Wozniak, Najla Kfoury, Hong Jiang and Zhiping Weng and has published in prestigious journals such as Cell, Neuron and Molecular Cell.

In The Last Decade

Sheng‐mei Ma

29 papers receiving 1.3k 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‐mei Ma 767 493 475 243 169 35 1.3k
Anna Tang 549 0.7× 485 1.0× 161 0.3× 357 1.5× 91 0.5× 22 1.1k
Holger Braun 601 0.8× 167 0.3× 216 0.5× 244 1.0× 358 2.1× 43 1.5k
Alma Sanchez 362 0.5× 174 0.4× 756 1.6× 185 0.8× 115 0.7× 31 1.4k
Daniel Ness 297 0.4× 578 1.2× 229 0.5× 229 0.9× 276 1.6× 27 1.5k
Diego E. Rincón-Limas 1.1k 1.4× 404 0.8× 92 0.2× 168 0.7× 327 1.9× 55 1.6k
Jodi Maple‐Grødem 858 1.1× 225 0.5× 417 0.9× 100 0.4× 177 1.0× 61 1.5k
Hisashi Kitagawa 534 0.7× 97 0.2× 258 0.5× 261 1.1× 555 3.3× 47 1.6k
Sara B. Linker 844 1.1× 139 0.3× 156 0.3× 216 0.9× 252 1.5× 26 1.5k
Yvan Saeys 588 0.8× 407 0.8× 59 0.1× 196 0.8× 341 2.0× 26 1.2k
Zhiqiang Yan 738 1.0× 332 0.7× 164 0.3× 167 0.7× 582 3.4× 57 1.7k

Countries citing papers authored by Sheng‐mei Ma

Since Specialization
Citations

This map shows the geographic impact of Sheng‐mei 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‐mei 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‐mei Ma more than expected).

Fields of papers citing papers by Sheng‐mei Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng‐mei Ma

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