Shanshan Ma

44 total papers · 764 total citations
29 papers, 512 citations indexed

About

Shanshan Ma is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Shanshan Ma has authored 29 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 13 papers in Cellular and Molecular Neuroscience and 7 papers in Neurology. Recurrent topics in Shanshan Ma's work include Nuclear Receptors and Signaling (8 papers), Parkinson's Disease Mechanisms and Treatments (7 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). Shanshan Ma is often cited by papers focused on Nuclear Receptors and Signaling (8 papers), Parkinson's Disease Mechanisms and Treatments (7 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). Shanshan Ma collaborates with scholars based in China, United States and Canada. Shanshan Ma's co-authors include Qiaoying Huang, Mingtao Li, Kunhua Hu, Mingtao Li, Bin Song, Zhongmin Yuan, Rensheng Wang, Shuai Xiao, Junyu Li and Wen Liu and has published in prestigious journals such as Journal of Biological Chemistry, Molecular and Cellular Biology and Scientific Reports.

In The Last Decade

Shanshan Ma

24 papers receiving 509 citations

Author Peers

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

Author Last Decade Papers Cites
Shanshan Ma 326 165 87 79 55 29 512
Jinchong Xu 315 1.0× 136 0.8× 117 1.3× 72 0.9× 89 1.6× 15 496
Georgia Kouroupi 357 1.1× 211 1.3× 85 1.0× 132 1.7× 105 1.9× 16 609
Yilu Gao 274 0.8× 89 0.5× 87 1.0× 41 0.5× 45 0.8× 34 499
Laura González-Cano 324 1.0× 129 0.8× 60 0.7× 89 1.1× 73 1.3× 14 497
Shengnian Zhou 205 0.6× 93 0.6× 70 0.8× 124 1.6× 52 0.9× 30 490
Chuanxi Tang 199 0.6× 83 0.5× 78 0.9× 68 0.9× 43 0.8× 33 458
Kanefusa Kato 347 1.1× 173 1.0× 37 0.4× 64 0.8× 62 1.1× 20 571
Haruko Nakamura 267 0.8× 126 0.8× 34 0.4× 68 0.9× 44 0.8× 24 451
A. Harel 226 0.7× 241 1.5× 54 0.6× 88 1.1× 128 2.3× 22 584
Philippe M. D’Onofrio 304 0.9× 113 0.7× 61 0.7× 36 0.5× 40 0.7× 18 475

Countries citing papers authored by Shanshan Ma

Since Specialization
Citations

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

Fields of papers citing papers by Shanshan Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shanshan Ma

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