Jun Ma
Impact in
- Neurology top 5%
- Transcranial Magnetic Stimulation Studies
- Amyotrophic Lateral Sclerosis Research
- Developmental Neuroscience top 10%
Papers in
- Genetics 14
- Mesenchymal stem cell research 8
- Neurogenetic and Muscular Disorders Research 5
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- Nuclear Receptors and Signaling 4
- Co-authors
- Huixian Cui (23 shared papers)Yuhong Cao (1 shared paper)Yong Xiang Zhao (1 shared paper)Haixia Ma (1 shared paper)Guangwei Liu (1 shared paper)Lin Qiu (1 shared paper)Long Li (1 shared paper)Dandan Geng (3 shared papers)
In The Last Decade
Jun Ma
102 papers receiving 1.9k citations
Jun Ma's Hit Papers
Peers
Comparison fields: 5 of 122
- Neurology 199
- Developmental Neuroscience 71
- Genetics 143
- Nephrology 89
- Neurology 173
Countries citing papers authored by Jun Ma
This map shows the geographic impact of Jun 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 Jun Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Ma more than expected).
Fields of papers citing papers by Jun Ma
This network shows the impact of papers produced by Jun 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 Jun Ma. The network helps show where Jun Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun 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 116 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 199 | |
| 2 | 2009 | 118 | |
| 3 | 2017 | 111 | |
| 4 | 2012 | 99 | |
| 5 | 2017 | 87 | |
| 6 | 2014 | 83 | |
| 7 | 2019 | 80 | |
| 8 | 2019 | 74 | |
| 9 | 2003 | 67 | |
| 10 | 2010 | 60 | |
| 11 | 2018 | 46 | |
| 12 | Wheat2035: Integrating pan-omics and advanced biotechnology for future wheat design Hit paper breakdown → | 2025 | 46 |
| 13 | 2021 | 43 | |
| 14 | 2015 | 42 | |
| 15 | 2018 | 39 | |
| 16 | 2023 | 31 | |
| 17 | 2005 | 27 | |
| 18 | 2015 | 27 | |
| 19 | 2013 | 26 | |
| 20 | 2024 | 24 |
About Jun Ma
Jun Ma is a scholar working on Genetics, Cellular and Molecular Neuroscience, Molecular Biology, Physiology and Developmental Neuroscience, having authored 116 papers that have together received 1.9k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (14 papers), Mesenchymal stem cell research (8 papers), CRISPR and Genetic Engineering (7 papers), Amyotrophic Lateral Sclerosis Research (6 papers), Neurogenetic and Muscular Disorders Research (5 papers), Nuclear Receptors and Signaling (4 papers), Neurogenesis and neuroplasticity mechanisms (4 papers) and Autophagy in Disease and Therapy (4 papers). The work is most often cited by research in Neurology (199 citations), Developmental Neuroscience (71 citations), Genetics (143 citations), Nephrology (89 citations) and Neurology (173 citations). Jun Ma has collaborated with scholars based in China, Ireland and Japan. Frequent co-authors include Huixian Cui, Yuhong Cao, Yong Xiang Zhao, Haixia Ma, Guangwei Liu, Lin Qiu, Long Li, Dandan Geng, Lin Kang and Yanyong Wang. Their work appears in journals such as Stem Cell Research, Stem Cell Research & Therapy, Current Stem Cell Research & Therapy, Molecular Brain and Frontiers in Immunology.
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.