Dan Ma

3.1k citations
54 papers · 2.5k · 1 hit paper · h-index 23

Impact in

    • Advanced Electron Microscopy Techniques and Applications
    • Protein Structure and Dynamics
    • RNA and protein synthesis mechanisms
    • Lipid Membrane Structure and Behavior

Papers in

Dan Ma

51 papers receiving 2.5k citations

Dan Ma's Hit Papers

An atomic structure of human γ-secretase 2015 · 438 citations
4380+3+7Years since publication100200300400

Peers

Dan Ma
Comparison fields: 5 of 129
  • Structural Biology 151
  • Molecular Biology 1.3k
  • Physiology 434
  • Biochemistry 100
  • Molecular Medicine 65
Replace Martin Ott with:
Martin Ott Sweden
Graeme B. Cox Australia
Rong Wang China
Kaspar Hollenstein Switzerland
Nelson P. Barrera Chile
Seok‐Yong Lee United States
Yujia Zhai China
Hironori Aramaki Japan
Dan Ma relative to Martin Ott Sweden Martin Ott's profile →
Citations per field
00.5×2×4×5.8×
Martin Ott · 1×
Citations per year

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-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.

Border = papers with Dan Ma Line = papers co-authored together Dan Ma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1
An atomic structure of human γ-secretase
Hit paper breakdown →
2015438
2 2014297
3 2013196
4 2012171
5 2020134
6 2020132
7 2020102
8 201885
9 202165
10 201062
11 201461
12 201459
13 201848
14 201345
15 200044
16 202139
17 199339
18 201435
19 202434
20 202333

About Dan Ma

Dan Ma is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Animal Science and Zoology, Biotechnology and Endocrinology, Diabetes and Metabolism, having authored 54 papers that have together received 2.5k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (5 papers), Neuroendocrine regulation and behavior (4 papers), Animal Virus Infections Studies (4 papers), Neuropeptides and Animal Physiology (4 papers), Lipid Membrane Structure and Behavior (3 papers), Bacterial Genetics and Biotechnology (3 papers), Insect and Pesticide Research (3 papers) and Trace Elements in Health (3 papers). The work is most often cited by research in Structural Biology (151 citations), Molecular Biology (1.3k citations), Physiology (434 citations), Biochemistry (100 citations) and Molecular Medicine (65 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, Rui Zhou, Guanghui Yang, Linfeng Sun, Xiao‐chen Bai, Sjors H. W. Scheres, Yanyu Zhao and Tian Xie. Their work appears in journals such as Nature, The Science of The Total Environment, Proceedings of the National Academy of Sciences, European Journal of Pharmacology and Therapeutic Advances in Chronic Disease.

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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