Ma Wan
Impact in
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- Iron Metabolism and Disorders
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- MicroRNA in disease regulation
Papers in
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- Epigenetics and DNA Methylation 3
- RNA modifications and cancer 3
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- Iron Metabolism and Disorders 5
- Co-authors
- Huahua Du (9 shared papers)Qingqing Xiong (4 shared papers)Douglas A. Bell (6 shared papers)Xuting Wang (4 shared papers)Yunfei Feng (4 shared papers)Gary S. Pittman (5 shared papers)Brian D. Bennett (4 shared papers)Michelle R. Campbell (3 shared papers)
- Journals
- PLoS ONE (2 papers)Biological Trace Element Research (1 paper)Redox Biology (1 paper)Journal of Thrombosis and Thrombolysis (1 paper)Biomolecules (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Ma Wan
21 papers receiving 439 citations
Peers
Comparison fields: 5 of 78
- Hematology 49
- Cancer Research 46
- Molecular Biology 214
- Biological Psychiatry 7
- Immunology 54
Countries citing papers authored by Ma Wan
This map shows the geographic impact of Ma Wan'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 Ma Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ma Wan more than expected).
Fields of papers citing papers by Ma Wan
This network shows the impact of papers produced by Ma Wan. 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 Ma Wan. The network helps show where Ma Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ma Wan, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 86 | |
| 2 | 2018 | 41 | |
| 3 | 2016 | 39 | |
| 4 | 2021 | 38 | |
| 5 | 2021 | 32 | |
| 6 | 2018 | 31 | |
| 7 | 2020 | 27 | |
| 8 | 2017 | 26 | |
| 9 | 2018 | 24 | |
| 10 | 2022 | 18 | |
| 11 | 2017 | 15 | |
| 12 | 2023 | 14 | |
| 13 | 2022 | 12 | |
| 14 | 2024 | 7 | |
| 15 | 2020 | 6 | |
| 16 | 2024 | 6 | |
| 17 | 2019 | 6 | |
| 18 | 2015 | 5 | |
| 19 | 2022 | 3 | |
| 20 | 2019 | 3 |
About Ma Wan
Ma Wan is a scholar working on Molecular Biology, Hematology, Cancer Research, Pathology and Forensic Medicine and Immunology, having authored 22 papers that have together received 440 indexed citations. Recurring topics across this work include Iron Metabolism and Disorders (5 papers), Epigenetics and DNA Methylation (3 papers), MicroRNA in disease regulation (3 papers), RNA modifications and cancer (3 papers), Ferroptosis and cancer prognosis (2 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers) and Cardiac Ischemia and Reperfusion (2 papers). The work is most often cited by research in Hematology (49 citations), Cancer Research (46 citations), Molecular Biology (214 citations), Biological Psychiatry (7 citations) and Immunology (54 citations). Ma Wan has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Huahua Du, Qingqing Xiong, Douglas A. Bell, Xuting Wang, Yunfei Feng, Gary S. Pittman, Brian D. Bennett, Michelle R. Campbell, Jia Li and Devin K. Porter. Their work appears in journals such as PLoS ONE, Biological Trace Element Research, Redox Biology, Journal of Thrombosis and Thrombolysis and Biomolecules.
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.