Jun Ma
- Neurology top 5%
- Amyotrophic Lateral Sclerosis Research 5
- Developmental Neuroscience top 5%
- Genetics top 10%
- Mesenchymal stem cell research 10
- Neurology top 5%
- Amyotrophic Lateral Sclerosis Research 5
- Rheumatology top 5%
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- Pluripotent Stem Cells Research 14
- CRISPR and Genetic Engineering 7
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- Nerve injury and regeneration 11
- Nuclear Receptors and Signaling 5
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- Acupuncture Treatment Research Studies 7
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- Immune Cell Function and Interaction 6
Jun Ma
106 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 126
- Neurology 212
- Developmental Neuroscience 79
- Genetics 158
- Neurology 203
- Rheumatology 178
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2026 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 1 | |
| 6 | 2025 | 0 | |
| 7 | 2025 | 0 | |
| 8 | 2025 | 0 | |
| 9 | 2024 | 7 | |
| 10 | 2024 | 11 | |
| 11 | 2023 | 8 | |
| 12 | 2023 | 1 | |
| 13 | 2022 | 3 | |
| 14 | 2021 | 2 | |
| 15 | 2020 | 1 | |
| 16 | 2019 | 6 | |
| 17 | 2017 | 75 | |
| 18 | 2017 | 109 | |
| 19 | Concerns about the knowledge, attitude and practice of tuberculosis in Anqing, China: comparison between new tuberculosis patients and nontuberculosis patients | 2016 | 1 |
| 20 | [Effects of electroacupuncture on the expression of GDNF and Ret in Parkinson's disease model rats]. | 2010 | 5 |
About Jun Ma
Jun Ma is a scholar working on Genetics, Developmental Neuroscience, Cellular and Molecular Neuroscience, Neurology and Complementary and alternative medicine, having authored 114 papers that have together received 1.7k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (14 papers), Nerve injury and regeneration (11 papers), Mesenchymal stem cell research (10 papers), CRISPR and Genetic Engineering (7 papers), Acupuncture Treatment Research Studies (7 papers), Immune Cell Function and Interaction (6 papers), Amyotrophic Lateral Sclerosis Research (5 papers) and Nuclear Receptors and Signaling (5 papers). The work is most often cited by research in Neurology (212 citations), Developmental Neuroscience (79 citations), Genetics (158 citations), Neurology (203 citations) and Rheumatology (178 citations). Jun Ma has collaborated with scholars based in China, Ireland and Japan. Frequent co-authors include Haixia Ma, Yong Zhao, Lin Qiu, Guangwei Liu, Long Li, Yuhong Cao, Huixian Cui, Lin Kang, Dandan Geng and Yanyong Wang. Their work appears in journals such as Stem Cell Research, Stem Cell Research & Therapy, Current Stem Cell Research & Therapy, Frontiers in Immunology and BMC Musculoskeletal Disorders.
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.