Ming Ma

913 total citations · 1 hit paper
19 papers, 610 citations indexed

About

Ming Ma is a scholar working on Molecular Biology, Immunology and Atmospheric Science. According to data from OpenAlex, Ming Ma has authored 19 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Immunology and 4 papers in Atmospheric Science. Recurrent topics in Ming Ma's work include Inflammasome and immune disorders (4 papers), Climate variability and models (4 papers) and Meteorological Phenomena and Simulations (3 papers). Ming Ma is often cited by papers focused on Inflammasome and immune disorders (4 papers), Climate variability and models (4 papers) and Meteorological Phenomena and Simulations (3 papers). Ming Ma collaborates with scholars based in China, United States and Poland. Ming Ma's co-authors include Rongbin Zhou, Wei Jiang, Ming‐Hui Qi, Guo‐Yang Li, Bolong Lin, Yunfei Fu, Yubo Zhou, Ye Tao, Li Bai and Juan Cai and has published in prestigious journals such as Immunity, Journal of the American Society of Nephrology and Frontiers in Immunology.

In The Last Decade

Ming Ma

18 papers receiving 605 citations

Hit Papers

DAMPs and DAMP-sensing receptors in inflammation and dise... 2024 2026 2025 2024 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. DAMPs and DAMP-sensing receptors in inflammation and diseases
    2024 185 citations Ming Ma, Wei Jiang et al. Immunity profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Ma China 10 219 169 106 75 73 19 610
Sang-Yeob Kim South Korea 16 245 1.1× 230 1.4× 19 0.2× 31 0.4× 38 0.5× 21 616
Kailong Li China 11 761 3.5× 87 0.5× 145 1.4× 18 0.2× 22 0.3× 21 1.1k
Yexin Liu China 8 92 0.4× 41 0.2× 34 0.3× 78 1.0× 21 0.3× 11 307
Ling Ma China 17 245 1.1× 171 1.0× 10 0.1× 33 0.4× 10 0.1× 52 673
Katsuya Wada Japan 12 80 0.4× 47 0.3× 13 0.1× 167 2.2× 181 2.5× 32 724
Valérie Côté Canada 14 509 2.3× 18 0.1× 57 0.5× 53 0.7× 21 0.3× 26 956
H. Lorraine Thompson United States 15 177 0.8× 376 2.2× 6 0.1× 28 0.4× 24 0.3× 23 784
Weijie Liao China 13 684 3.1× 121 0.7× 6 0.1× 30 0.4× 27 0.4× 41 1.1k

Countries citing papers authored by Ming Ma

Since Specialization
Citations

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

Fields of papers citing papers by Ming Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Ma. A scholar is included among the top collaborators of Ming 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 Ming Ma. Ming Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Zhou, Yubo, Bolong Lin, Ming Ma, et al.. (2025). Demyelination-derived lysophosphatidylserine promotes microglial dysfunction and neuropathology in a mouse model of Alzheimer’s disease. Cellular and Molecular Immunology. 22(2). 134–149. 2 indexed citations
2.
Ma, Ming, Wei Jiang, & Rongbin Zhou. (2024). DAMPs and DAMP-sensing receptors in inflammation and diseases. Immunity. 57(4). 752–771. 185 indexed citations breakdown →
3.
Lin, Bolong, Yubo Zhou, Ming Ma, et al.. (2024). GPR34 senses demyelination to promote neuroinflammation and pathologies. Cellular and Molecular Immunology. 21(10). 1131–1144. 7 indexed citations
4.
5.
6.
He, Hongbin, et al.. (2023). Apilimod activates the NLRP3 inflammasome through lysosome-mediated mitochondrial damage. Frontiers in Immunology. 14. 1128700–1128700. 18 indexed citations
7.
Li, Cong, et al.. (2022). Inhibition of the NLRP3 Inflammasome Activation by Manoalide Ameliorates Experimental Autoimmune Encephalomyelitis Pathogenesis. Frontiers in Cell and Developmental Biology. 10. 822236–822236. 13 indexed citations
8.
Yang, Yuanjian, Yunfei Fu, Xiangdong Zhang, et al.. (2022). Summertime atmospheric water vapor transport between Tibetan Plateau and its surrounding regions during 1990–2019: Boundary discrepancy and interannual variation. Atmospheric Research. 275. 106237–106237. 6 indexed citations
9.
Xu, Jing, et al.. (2022). Pregabalin Mediates Retinal Ganglion Cell Survival From Retinal Ischemia/Reperfusion Injury Via the Akt/GSK3β/β-Catenin Signaling Pathway. Investigative Ophthalmology & Visual Science. 63(12). 7–7. 10 indexed citations
10.
Wang, Xiaqiong, Juan Cai, Bolong Lin, et al.. (2021). GPR34-mediated sensing of lysophosphatidylserine released by apoptotic neutrophils activates type 3 innate lymphoid cells to mediate tissue repair. Immunity. 54(6). 1123–1136.e8. 77 indexed citations
11.
Ma, Ming, Guo‐Yang Li, Ming‐Hui Qi, Wei Jiang, & Rongbin Zhou. (2021). Inhibition of the Inflammasome Activity of NLRP3 Attenuates HDM-Induced Allergic Asthma. Frontiers in Immunology. 12. 718779–718779. 56 indexed citations
12.
Sun, Nian X., Lei Zhong, Chun Zhao, Ming Ma, & Yunfei Fu. (2021). Temperature, water vapor and tropopause characteristics over the Tibetan Plateau in summer based on the COSMIC, ERA-5 and IGRA datasets. Atmospheric Research. 266. 105955–105955. 7 indexed citations
13.
Wu, Jing, et al.. (2020). Implications of macrophage polarization in corneal transplantation rejection. Transplant Immunology. 64. 101353–101353. 18 indexed citations
14.
Zheng, Chunyang, et al.. (2019). Pharmacological modulation of autophagy as a novel potential target in the successful implementation of in vitro fertilization. Life Sciences. 229. 93–97. 3 indexed citations
15.
Zhang, Ziteng, et al.. (2019). Observation of clinical efficacy of application of enhanced recovery after surgery in perioperative period on esophageal carcinoma patients.. PubMed. 23(1). 150–156. 6 indexed citations
16.
Wang, Hui, Wenjing Wu, Ming Ma, et al.. (2017). Cardioprotection of ischemic preconditioning in rats involves upregulating adiponectin. Journal of Molecular Endocrinology. 58(4). 155–165. 9 indexed citations
17.
Fu, Yunfei, Tao Xian, Guosheng Liu, et al.. (2017). Precipitation characteristics over the steep slope of the Himalayas in rainy season observed by TRMM PR and VIRS. Climate Dynamics. 51(5-6). 1971–1989. 62 indexed citations
18.
Lyu, Fanchao, et al.. (2015). Using time domain waveforms of return strokes to retrieve the daytime fluctuation of ionospheric D layer. Chinese Science Bulletin (Chinese Version). 60(7). 654–663. 21 indexed citations
19.
Ma, Hong, Akashi Togawa, K. Soda, et al.. (2010). Inhibition of Podocyte FAK Protects against Proteinuria and Foot Process Effacement. Journal of the American Society of Nephrology. 21(7). 1145–1156. 106 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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