Dan Ma

3.0k total citations · 1 hit paper
49 papers, 2.1k citations indexed

About

Dan Ma is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Infectious Diseases. According to data from OpenAlex, Dan Ma has authored 49 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 9 papers in Cellular and Molecular Neuroscience and 6 papers in Infectious Diseases. Recurrent topics in Dan Ma's work include Animal Virus Infections Studies (4 papers), Neuroendocrine regulation and behavior (4 papers) and Receptor Mechanisms and Signaling (4 papers). Dan Ma is often cited by papers focused on Animal Virus Infections Studies (4 papers), Neuroendocrine regulation and behavior (4 papers) and Receptor Mechanisms and Signaling (4 papers). Dan Ma collaborates with scholars based in China, United Kingdom and United States. Dan Ma's co-authors include Peilong Lu, Yigong Shi, Chuangye Yan, Linfeng Sun, Rui Zhou, Guanghui Yang, Xiao‐chen Bai, Sjors H. W. Scheres, Yanyu Zhao and Tian Xie and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Dan Ma

47 papers receiving 2.1k citations

Hit Papers

An atomic structure of human γ-secretase 2015 2026 2018 2022 2015 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dan Ma China 21 1.1k 433 210 185 168 49 2.1k
Martin Ott Sweden 35 4.0k 3.5× 370 0.9× 170 0.8× 250 1.4× 207 1.2× 73 5.4k
Mineyuki Mizuguchi Japan 28 1.6k 1.4× 445 1.0× 141 0.7× 132 0.7× 72 0.4× 130 2.6k
Yujia Zhai China 24 1.1k 1.0× 119 0.3× 127 0.6× 81 0.4× 164 1.0× 93 2.2k
Heinz D. Osiewacz Germany 44 4.6k 4.0× 651 1.5× 172 0.8× 184 1.0× 943 5.6× 152 5.9k
Hironori Aramaki Japan 22 777 0.7× 210 0.5× 325 1.5× 90 0.5× 173 1.0× 72 1.7k
Julian Weghuber Austria 28 1.1k 1.0× 167 0.4× 33 0.2× 146 0.8× 414 2.5× 104 2.7k
Xue Tang China 27 980 0.9× 470 1.1× 85 0.4× 47 0.3× 211 1.3× 140 2.5k
Bruno Miroux France 30 3.6k 3.2× 2.4k 5.5× 853 4.1× 200 1.1× 143 0.9× 68 5.8k

Countries citing papers authored by Dan Ma

Since Specialization
Citations

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

Fields of papers citing papers by Dan Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Ma. A scholar is included among the top collaborators of Dan 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 Dan Ma. Dan 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.
Fang, Yu, et al.. (2025). Water-regulated viscosity-plasticity phase transitions in a peptide self-assembled muscle-like hydrogel. Nature Communications. 16(1). 1058–1058. 5 indexed citations
2.
Wang, Mingyu, Genxu Wang, Maoyuan Zhao, et al.. (2025). Jujuboside A in ameliorating insomnia in mice via GABAergic modulation of the PVT. Journal of Ethnopharmacology. 349. 119939–119939.
3.
Yang, Kai, Xinyu Wang, Kaijie Li, et al.. (2024). Epidemiological investigation and analysis of the infection of porcine circovirus in Xinjiang. Virology Journal. 21(1). 230–230. 2 indexed citations
4.
Wang, Huan, Yumei Wang, Dan Ma, et al.. (2024). Core microbes identification and synthetic microbiota construction for the production of Xiaoqu light-aroma Baijiu. Food Research International. 183. 114196–114196. 24 indexed citations
5.
Tang, Fengyan, Li Zhang, Dan Ma, et al.. (2024). Causal relationships between gut microbiota, gut metabolites, and diabetic neuropathy: A mendelian randomization study. Clinical Nutrition ESPEN. 62. 128–136. 1 indexed citations
6.
Chen, Xin, Weijia Zhang, Wenhui Xue, et al.. (2023). Design of Multicomponent Peptide Fibrils with Ordered and Programmable Compositional Patterns. Angewandte Chemie International Edition. 62(22). e202303684–e202303684. 9 indexed citations
7.
Wang, Zhenyu, Kai Huang, Dan Ma, et al.. (2022). Porcine circovirus type 2 infection inhibits the activation of type I interferon signaling via capsid protein and host gC1qR. Veterinary Microbiology. 266. 109354–109354. 11 indexed citations
8.
Wang, Zhenyu, Xingchen Wu, Dan Ma, et al.. (2021). PCV2 targets cGAS to inhibit type I interferon induction to promote other DNA virus infection. PLoS Pathogens. 17(9). e1009940–e1009940. 60 indexed citations
9.
Ma, Ruifang, Omid Haji‐Ghassemi, Dan Ma, et al.. (2020). Structural basis for diamide modulation of ryanodine receptor. Nature Chemical Biology. 16(11). 1246–1254. 95 indexed citations
10.
Bai, Xiao‐chen, Chuangye Yan, Guanghui Yang, et al.. (2015). An atomic structure of human γ-secretase. Nature. 525(7568). 212–217. 406 indexed citations breakdown →
11.
Ma, Dan, Dan Guo, Wei Li, & Hongwen Zhao. (2015). Mdig, a lung cancer-associated gene, regulates cell cycle progression through p27KIP1. Tumor Biology. 36(9). 6909–6917. 5 indexed citations
12.
Lu, Peilong, Dan Ma, Chuangye Yan, et al.. (2014). Structure and mechanism of a eukaryotic transmembrane ascorbate-dependent oxidoreductase. Proceedings of the National Academy of Sciences. 111(5). 1813–1818. 53 indexed citations
13.
Zeng, Jing, et al.. (2014). Rapid detection of Vibrio parahaemolyticus in raw oysters using immunomagnetic separation combined with loop-mediated isothermal amplification. International Journal of Food Microbiology. 174. 123–128. 35 indexed citations
14.
Lu, Peilong, Xiao‐chen Bai, Dan Ma, et al.. (2014). Three-dimensional structure of human γ-secretase. Nature. 512(7513). 166–170. 274 indexed citations
15.
Lu, Peilong, Dan Ma, Yuling Chen, et al.. (2013). L-glutamine provides acid resistance for Escherichia coli through enzymatic release of ammonia. Cell Research. 23(5). 635–644. 184 indexed citations
16.
Ma, Dan, Peilong Lu, Chuangye Yan, et al.. (2012). Structure and mechanism of a glutamate–GABA antiporter. Nature. 483(7391). 632–636. 163 indexed citations
17.
Wei, Haiyan, et al.. (2012). A novel method of real-time reverse-transcription loop-mediated isothermal amplification developed for rapid and quantitative detection of human astrovirus. Journal of Virological Methods. 188(1-2). 126–131. 16 indexed citations
18.
Sun, Junfeng, et al.. (2011). Testosterone modulation of cardiac β-adrenergic signals in a rat model of heart failure. General and Comparative Endocrinology. 172(3). 518–525. 27 indexed citations
19.
Ma, Dan & John F. Morris. (2002). Protein synthetic machinery in the dendrites of the magnocellular neurosecretory neurons of wild-type Long-Evans and homozygous Brattleboro rats. Journal of Chemical Neuroanatomy. 23(3). 171–186. 22 indexed citations
20.
Morris, John F., et al.. (1999). Chapter 1.2 Functions of the perikaryon and dendrites in magnocellular vasopressin-secreting neurons: New insights from ultrastructural studies. Progress in brain research. 119. 21–30. 19 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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