Shanshan Ma

785 total citations
30 papers, 519 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 30 papers receiving a total of 519 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 Endometrial and Cervical Cancer Treatments (5 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 Endometrial and Cervical Cancer Treatments (5 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, Xiangwei Wu, Junyu Li and Shuai Xiao 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

25 papers receiving 516 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shanshan Ma China 14 324 169 86 82 55 30 519
Jinchong Xu United States 12 317 1.0× 137 0.8× 118 1.4× 72 0.9× 91 1.7× 15 499
Yilu Gao China 14 275 0.8× 89 0.5× 87 1.0× 41 0.5× 45 0.8× 34 504
Elizabeth L. Calder United States 8 430 1.3× 192 1.1× 66 0.8× 46 0.6× 112 2.0× 9 589
Philippe M. D’Onofrio Canada 12 304 0.9× 114 0.7× 61 0.7× 36 0.4× 40 0.7× 18 477
Oxana V. Baranova United States 8 364 1.1× 179 1.1× 95 1.1× 94 1.1× 18 0.3× 8 562
Ina Woods Ireland 14 325 1.0× 145 0.9× 56 0.7× 145 1.8× 25 0.5× 19 547
Andrea De Biase United States 10 204 0.6× 149 0.9× 42 0.5× 54 0.7× 60 1.1× 11 419
Katarzyna Gawęda-Walerych Poland 13 416 1.3× 96 0.6× 69 0.8× 124 1.5× 19 0.3× 22 621
Jennifer W. Bradford United States 7 426 1.3× 339 2.0× 97 1.1× 109 1.3× 37 0.7× 8 691
Pallavi P. Gopal United States 11 382 1.2× 101 0.6× 72 0.8× 225 2.7× 45 0.8× 25 702

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

20 of 20 papers shown
1.
Zhang, Zeyu, Bo Peng, Qin Huang, et al.. (2025). Rapamycin exerts neuroprotective effects by inhibiting FKBP12 instead of mTORC1 in the mouse model of Parkinson's disease. Neuropharmacology. 275. 110504–110504.
2.
Chai, Hongyu, Hu Qian, Shun Yao, Shanshan Ma, & Wei Su. (2025). Endoplasmic reticulum stress-mediated programmed cell death in the tumor microenvironment. Cell Death Discovery. 11(1). 559–559.
3.
Gao, Ting, et al.. (2024). Prognostic analysis of stage IIIC1p cervical cancer patients. Frontiers in Oncology. 14. 1362281–1362281. 2 indexed citations
4.
Ma, Shanshan, Peng Xu, Yang Wang, et al.. (2024). Regulation of Ankyrin-G on Nav1.5 Channel in Hypoxic HL-1 Cardiac Muscle Cells. Discovery Medicine. 36(190). 2191–2191.
5.
Chen, Guoqin, et al.. (2023). An immunomodulatory role of Fc receptor γ chain independent of FcγR ligation by IgG in acute neuroinflammation triggered by MPTP intoxication. Neurochemistry International. 171. 105638–105638. 2 indexed citations
6.
Huang, Qiaoying, et al.. (2023). Cell type- and region-specific translatomes in an MPTP mouse model of Parkinson's disease. Neurobiology of Disease. 180. 106105–106105. 6 indexed citations
7.
8.
Liu, Yueyue, Qiaoying Huang, Shanshan Ma, et al.. (2021). GSK-3 mediates nuclear translocation of p62/SQSTM1 in MPTP-induced mouse model of Parkinson’s disease. Neuroscience Letters. 763. 136177–136177. 2 indexed citations
9.
Chen, Qiuhe, Yalin Tu, Shinghung Mak, et al.. (2020). Discovery of a novel small molecule PT109 with multi-targeted effects against Alzheimer's disease in vitro and in vivo. European Journal of Pharmacology. 883. 173361–173361. 9 indexed citations
10.
11.
Li, Junyu, Shanshan Ma, Jingnan Chen, et al.. (2020). GSK-3β Contributes to Parkinsonian Dopaminergic Neuron Death: Evidence From Conditional Knockout Mice and Tideglusib. Frontiers in Molecular Neuroscience. 13. 81–81. 51 indexed citations
12.
Wang, Yezhong, Yong Xia, Kunhua Hu, et al.. (2019). MKK7 transcription positively or negatively regulated by SP1 and KLF5 depends on HDAC4 activity in glioma. International Journal of Cancer. 145(9). 2496–2508. 19 indexed citations
13.
Xiao, Shuai, Rensheng Wang, Xiangwei Wu, Wen Liu, & Shanshan Ma. (2018). The Long Noncoding RNA TP73-AS1 Interacted with miR-124 to Modulate Glioma Growth by Targeting Inhibitor of Apoptosis-Stimulating Protein of p53. DNA and Cell Biology. 37(2). 117–125. 41 indexed citations
14.
Hu, Kunhua, Qiaoying Huang, Chong Liu, et al.. (2018). c-Jun/Bim Upregulation in Dopaminergic Neurons Promotes Neurodegeneration in the MPTP Mouse Model of Parkinson’s Disease. Neuroscience. 399. 117–124. 9 indexed citations
15.
Huang, Qiaoying, et al.. (2018). Early activation of Egr-1 promotes neuroinflammation and dopaminergic neurodegeneration in an experimental model of Parkinson's disease. Experimental Neurology. 302. 145–154. 41 indexed citations
16.
Ma, Shanshan, Yong Xia, Yangpeng Lu, et al.. (2017). Loss of GCN5 leads to increased neuronal apoptosis by upregulating E2F1- and Egr-1-dependent BH3-only protein Bim. Cell Death and Disease. 8(1). e2570–e2570. 32 indexed citations
17.
Zhang, Junfang, Ying Lu, Ming Zhou, et al.. (2017). Potential Antigens Involved in Delayed Xenograft Rejection in a Ggta1/Cmah Dko Pig-to-Monkey Model. Scientific Reports. 7(1). 10024–10024. 15 indexed citations
18.
Tan, Minghui, Shanshan Ma, Qiaoying Huang, et al.. (2013). GSK‐3α/β‐mediated phosphorylation of CRMP‐2 regulates activity‐dependent dendritic growth. Journal of Neurochemistry. 125(5). 685–697. 35 indexed citations
19.
Tan, Min, Zhan Li, Shanshan Ma, et al.. (2012). Heroin activates Bim via c-Jun N-terminal kinase/c-Jun pathway to mediate neuronal apoptosis. Neuroscience. 233. 1–8. 21 indexed citations
20.
Ma, Shanshan, Shaojun Liu, Qiaoying Huang, et al.. (2012). Site-specific Phosphorylation Protects Glycogen Synthase Kinase-3β from Calpain-mediated Truncation of Its N and C Termini. Journal of Biological Chemistry. 287(27). 22521–22532. 27 indexed citations

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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