Dan Ma
Impact in
- Structural Biology top 1%
- Advanced Electron Microscopy Techniques and Applications
- Physiology top 5%
- Alzheimer's disease research and treatments
Papers in
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- Receptor Mechanisms and Signaling 4
-
- Neuroscience and Neuropharmacology Research 3
- Neuropeptides and Animal Physiology 3
- Co-authors
- Peilong Lu (11 shared papers)Yigong Shi (7 shared papers)Chuangye Yan (5 shared papers)Linfeng Sun (3 shared papers)Rui Zhou (3 shared papers)Guanghui Yang (3 shared papers)Sjors H. W. Scheres (2 shared papers)Xiao‐chen Bai (2 shared papers)
- Journals
- Nature (6 papers)Journal of Agricultural and Food Chemistry (2 papers)Nature Communications (2 papers)European Journal of Pharmacology (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Dan Ma
47 papers receiving 2.1k citations
Dan Ma's Hit Papers
Peers
Comparison fields: 5 of 129
- Structural Biology 145
- Physiology 433
- Molecular Biology 1.1k
- Molecular Medicine 66
- Biochemistry 96
Countries citing papers authored by Dan Ma
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
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-authors
The 25 scholars most cited alongside Dan Ma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | An atomic structure of human γ-secretase Hit paper breakdown → | 2015 | 406 |
| 2 | 2014 | 274 | |
| 3 | 2013 | 184 | |
| 4 | 2012 | 163 | |
| 5 | 2020 | 115 | |
| 6 | 2020 | 95 | |
| 7 | 2018 | 81 | |
| 8 | 2021 | 60 | |
| 9 | 2010 | 59 | |
| 10 | 2014 | 53 | |
| 11 | 2014 | 52 | |
| 12 | 2018 | 43 | |
| 13 | 2013 | 42 | |
| 14 | 2000 | 40 | |
| 15 | 1993 | 39 | |
| 16 | 2021 | 36 | |
| 17 | 2014 | 35 | |
| 18 | 2020 | 28 | |
| 19 | 2011 | 27 | |
| 20 | 2024 | 24 |
About Dan Ma
Dan Ma is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Infectious Diseases, Physiology and Cardiology and Cardiovascular Medicine, having authored 49 papers that have together received 2.1k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (4 papers), Receptor Mechanisms and Signaling (4 papers), Neuroendocrine regulation and behavior (4 papers), Supramolecular Self-Assembly in Materials (3 papers), Insect and Pesticide Research (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Bacterial Genetics and Biotechnology (3 papers) and Neuropeptides and Animal Physiology (3 papers). The work is most often cited by research in Structural Biology (145 citations), Physiology (433 citations), Molecular Biology (1.1k citations), Molecular Medicine (66 citations) and Biochemistry (96 citations). Dan Ma has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Peilong Lu, Yigong Shi, Chuangye Yan, Linfeng Sun, Rui Zhou, Guanghui Yang, Sjors H. W. Scheres, Xiao‐chen Bai, Yanyu Zhao and Tian Xie. Their work appears in journals such as Nature, Journal of Agricultural and Food Chemistry, Nature Communications, European Journal of Pharmacology and Proceedings of the National Academy of Sciences.
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.