Dan Ma
Impact in
- Genetics top 10%
- Mesenchymal stem cell research
Papers in
-
- Extracellular vesicles in disease 4
- Gut microbiota and health 3
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- Immune cells in cancer 3
- Co-authors
- Liyun Zhang (5 shared papers)Ke Xu (3 shared papers)Min Tian (2 shared papers)Gailian Zhang (2 shared papers)Jinfang Gao (2 shared papers)Baoqi Yang (3 shared papers)Liu Yang (1 shared paper)Juan Li (1 shared paper)
- Journals
- International Immunopharmacology (3 papers)International Journal of Molecular Sciences (2 papers)iScience (1 paper)Inflammopharmacology (1 paper)Neurochemical Research (1 paper)
- Partner nations
- ChinaAustraliaUnited Kingdom
In The Last Decade
Dan Ma
26 papers receiving 389 citations
Peers
Comparison fields: 5 of 90
- Genetics 80
- Biological Psychiatry 18
- Biochemistry 34
- Cancer Research 61
- Immunology 75
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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 78 | |
| 2 | 2023 | 40 | |
| 3 | 2023 | 40 | |
| 4 | 2023 | 38 | |
| 5 | 2021 | 37 | |
| 6 | 2024 | 35 | |
| 7 | 2023 | 31 | |
| 8 | 2023 | 26 | |
| 9 | 2022 | 14 | |
| 10 | 2019 | 10 | |
| 11 | 2023 | 7 | |
| 12 | 2024 | 5 | |
| 13 | 2024 | 5 | |
| 14 | Noncanonical Wnt5a Signaling Suppresses Hippo/TAZ-Mediated Osteogenesis Partly Through the Canonical Wnt Pathway in SCAPs | 2022 | 4 |
| 15 | 2024 | 3 | |
| 16 | 2014 | 3 | |
| 17 | 2023 | 3 | |
| 18 | 2024 | 2 | |
| 19 | [Preparation of monoclonal antibodies against flagellin core protein of Vibrio parahaemolyticus and its activity analysis]. | 2013 | 2 |
| 20 | 2025 | 1 |
About Dan Ma
Dan Ma is a scholar working on Molecular Biology, Immunology, Plant Science, Cancer Research and Genetics, having authored 30 papers that have together received 390 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (4 papers), Immune cells in cancer (3 papers), MicroRNA in disease regulation (3 papers), Gut microbiota and health (3 papers), Mesenchymal stem cell research (2 papers), Silicon Effects in Agriculture (2 papers), Effects and risks of endocrine disrupting chemicals (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Genetics (80 citations), Biological Psychiatry (18 citations), Biochemistry (34 citations), Cancer Research (61 citations) and Immunology (75 citations). Dan Ma has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Liyun Zhang, Ke Xu, Min Tian, Gailian Zhang, Jinfang Gao, Baoqi Yang, Liu Yang, Juan Li, Jingwen Zhao and Lissette Sanchez-Aranguren. Their work appears in journals such as International Immunopharmacology, International Journal of Molecular Sciences, iScience, Inflammopharmacology and Neurochemical Research.
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.