Yang Ma

2.4k total citations · 1 hit paper
54 papers, 1.8k citations indexed

About

Yang Ma is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Yang Ma has authored 54 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 18 papers in Oncology and 15 papers in Immunology. Recurrent topics in Yang Ma's work include Immunotherapy and Immune Responses (7 papers), Cytokine Signaling Pathways and Interactions (6 papers) and Reproductive Biology and Fertility (5 papers). Yang Ma is often cited by papers focused on Immunotherapy and Immune Responses (7 papers), Cytokine Signaling Pathways and Interactions (6 papers) and Reproductive Biology and Fertility (5 papers). Yang Ma collaborates with scholars based in China, United States and Saint Kitts and Nevis. Yang Ma's co-authors include Michael R. Shurin, Wei Wei, Galina V. Shurin, Galina V. Shurin, Peiyuan Zhu, Chenchen Han, Dmitriy W. Gutkin, Yang Wang, Marianna Agassandian and Bo Liang and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and PLoS ONE.

In The Last Decade

Yang Ma

53 papers receiving 1.8k citations

Hit Papers

Therapeutic potential of MCC950, a specific inhibitor of ... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yang Ma China 25 789 699 515 221 161 54 1.8k
Xuesong Wu China 29 912 1.2× 787 1.1× 554 1.1× 328 1.5× 225 1.4× 90 2.2k
Maorong Fu China 3 553 0.7× 467 0.7× 466 0.9× 179 0.8× 107 0.7× 4 1.6k
Maya Gulubova Bulgaria 21 450 0.6× 499 0.7× 500 1.0× 140 0.6× 205 1.3× 107 1.5k
Hideki Ogura Japan 20 453 0.6× 792 1.1× 392 0.8× 141 0.6× 136 0.8× 37 1.8k
Min Sun Shin United States 27 1.4k 1.7× 1.1k 1.6× 610 1.2× 328 1.5× 297 1.8× 60 2.5k
María Clorinda Mazzarino Italy 25 887 1.1× 544 0.8× 571 1.1× 376 1.7× 265 1.6× 60 2.3k
Renfang Mao China 20 1.0k 1.3× 599 0.9× 475 0.9× 565 2.6× 141 0.9× 50 1.9k
Graham D. Thomas United States 20 694 0.9× 1.7k 2.4× 798 1.5× 208 0.9× 225 1.4× 28 2.6k
Qian Ma China 21 960 1.2× 948 1.4× 324 0.6× 343 1.6× 143 0.9× 65 2.2k
Tokunori Ikeda Japan 22 773 1.0× 612 0.9× 739 1.4× 93 0.4× 119 0.7× 68 1.8k

Countries citing papers authored by Yang Ma

Since Specialization
Citations

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

Fields of papers citing papers by Yang Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yang Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Yang Ma. A scholar is included among the top collaborators of Yang 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 Yang Ma. Yang 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.
Han, Chenchen, Liping Jiang, Jintao Gu, et al.. (2025). GRK2 activates TRAF2–NF-κB signalling to promote hyperproliferation of fibroblast-like synoviocytes in rheumatoid arthritis. Acta Pharmaceutica Sinica B. 15(4). 1956–1973. 3 indexed citations
2.
Chen, Yin, et al.. (2024). Development of cationic pH-sensitive liposomes with Gemcitabine loading and Fucoidan-coating against pancreatic cancer cells. Journal of Drug Delivery Science and Technology. 100. 106035–106035.
3.
Chen, Xiu, Ping Zhang, Yu Zhang, et al.. (2024). The research progression of direct NLRP3 inhibitors to treat inflammatory disorders. Cellular Immunology. 397-398. 104810–104810. 11 indexed citations
4.
Zhou, Zhengwei, Feng He, Huaxun Wu, et al.. (2024). G protein-coupled receptor kinase 2 as a novel therapeutic target for gland fibrosis of Sjögren’s syndrome. Acta Pharmacologica Sinica. 45(12). 2611–2624. 3 indexed citations
5.
Chen, Luying, Jintao Gu, Xuezhi Yang, et al.. (2024). Involvement of Embryo-Derived and Monocyte-Derived Intestinal Macrophages in the Pathogenesis of Inflammatory Bowel Disease and Their Prospects as Therapeutic Targets. International Journal of Molecular Sciences. 25(2). 690–690. 5 indexed citations
6.
7.
Ma, Yang, et al.. (2022). Hyperbaric Oxygen Treatment Ameliorates the Decline in Oocyte Quality and Improves the Fertility of Aged Female Mice. Reproductive Sciences. 30(6). 1834–1840. 7 indexed citations
8.
Li, Hao, Bo Liang, Peng Ding, et al.. (2022). Therapeutic potential of MCC950, a specific inhibitor of NLRP3 inflammasome. European Journal of Pharmacology. 928. 175091–175091. 134 indexed citations breakdown →
9.
Tao, Juan, Huijuan Chen, Weijie Zhou, et al.. (2022). A novel GRK2 inhibitor alleviates experimental arthritis through restraining Th17 cell differentiation. Biomedicine & Pharmacotherapy. 157. 113997–113997. 10 indexed citations
10.
Wang, Yang, Chenchen Han, Tingting Luo, et al.. (2018). Immunomodulatory Effects of CP-25 on Splenic T Cells of Rats with Adjuvant Arthritis. Inflammation. 41(3). 1049–1063. 22 indexed citations
11.
Liu, Peng, et al.. (2017). ZP3 is Required for Germinal Vesicle Breakdown in Mouse Oocyte Meiosis. Scientific Reports. 7(1). 41272–41272. 27 indexed citations
12.
Shurin, Michael R., Yang Ma, Anton А. Keskinov, et al.. (2016). BAFF and APRIL from Activin A–Treated Dendritic Cells Upregulate the Antitumor Efficacy of Dendritic Cells In Vivo. Cancer Research. 76(17). 4959–4969. 21 indexed citations
13.
Qin, Weidong, Guoliang Liu, Juan Wang, et al.. (2016). Poly(ADP-ribose) polymerase 1 inhibition protects cardiomyocytes from inflammation and apoptosis in diabetic cardiomyopathy. Oncotarget. 7(24). 35618–35631. 52 indexed citations
14.
Keskinov, Anton А., Vı́ctor Tapias, Simon C. Watkins, et al.. (2016). Impact of the Sensory Neurons on Melanoma Growth In Vivo. PLoS ONE. 11(5). e0156095–e0156095. 38 indexed citations
15.
Wu, Huimei, Zi‐Feng Jiang, Tong Wang, et al.. (2014). Reversed expression of GRIM-1 and GRP78 in human non–small cell lung cancer. Human Pathology. 45(9). 1936–1943. 10 indexed citations
16.
Ma, Yang, Galina V. Shurin, Peiyuan Zhu, & Michael R. Shurin. (2013). Dendritic Cells in the Cancer Microenvironment. Journal of Cancer. 4(1). 36–44. 285 indexed citations
17.
Landreneau, Joshua P., Michael R. Shurin, Marianna Agassandian, et al.. (2013). Immunological Mechanisms of Low and Ultra-Low Dose Cancer Chemotherapy. Cancer Microenvironment. 8(2). 57–64. 23 indexed citations
18.
Ma, Yang, Galina V. Shurin, Dmitriy W. Gutkin, & Michael R. Shurin. (2012). Tumor associated regulatory dendritic cells. Seminars in Cancer Biology. 22(4). 298–306. 103 indexed citations
19.
Wang, Yan, Rui Li, Ying Zhao, et al.. (2010). Transcription Factor E2F1 Suppresses Dendritic Cell Maturation. The Journal of Immunology. 184(11). 6084–6091. 37 indexed citations
20.
Zhou, Ying, Min Li, Wei Ying, et al.. (2009). Down-Regulation of GRIM-19 Expression Is Associated With Hyperactivation of STAT3-Induced Gene Expression and Tumor Growth in Human Cervical Cancers. Journal of Interferon & Cytokine Research. 29(10). 695–704. 38 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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