Ma Wan
Impact in
- Hematology top 10%
- Iron Metabolism and Disorders
-
- Epigenetics and DNA Methylation
- Genomics, phytochemicals, and oxidative stress
- Gut microbiota and health
Papers in
-
- Iron Metabolism and Disorders 8
- Co-authors
- Huahua Du (9 shared papers)Douglas A. Bell (5 shared papers)Yunfei Feng (4 shared papers)Xuting Wang (4 shared papers)Michelle R. Campbell (4 shared papers)Gary S. Pittman (4 shared papers)Brian D. Bennett (3 shared papers)Dan Su (2 shared papers)
- Journals
- Nature Communications (2 papers)PLoS ONE (2 papers)Foods (1 paper)Circulation Cardiovascular Genetics (1 paper)Journal of Molecular Neuroscience (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ma Wan
21 papers receiving 639 citations
Peers
Comparison fields: 5 of 75
- Hematology 70
- Molecular Biology 291
- Physiology 72
- Immunology 54
- Pulmonary and Respiratory Medicine 67
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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 111 | |
| 2 | 2016 | 96 | |
| 3 | 2017 | 62 | |
| 4 | 2018 | 43 | |
| 5 | 2016 | 42 | |
| 6 | 2021 | 38 | |
| 7 | 2021 | 32 | |
| 8 | 2020 | 31 | |
| 9 | 2018 | 30 | |
| 10 | 2017 | 29 | |
| 11 | 2018 | 26 | |
| 12 | 2022 | 20 | |
| 13 | 2023 | 19 | |
| 14 | 2017 | 17 | |
| 15 | 2022 | 13 | |
| 16 | 2024 | 13 | |
| 17 | 2024 | 8 | |
| 18 | 2015 | 7 | |
| 19 | 2019 | 6 | |
| 20 | 2022 | 3 |
About Ma Wan
Ma Wan is a scholar working on Hematology, Cancer Research, Molecular Biology, Biochemistry and Physiology, having authored 23 papers that have together received 647 indexed citations. Recurring topics across this work include Iron Metabolism and Disorders (8 papers), Epigenetics and DNA Methylation (5 papers), Gut microbiota and health (2 papers), Ferroptosis and cancer prognosis (2 papers), Lipid metabolism and biosynthesis (2 papers), Antimicrobial Peptides and Activities (1 paper), Cardiac Ischemia and Reperfusion (1 paper) and Cytomegalovirus and herpesvirus research (1 paper). The work is most often cited by research in Hematology (70 citations), Molecular Biology (291 citations), Physiology (72 citations), Immunology (54 citations) and Pulmonary and Respiratory Medicine (67 citations). Ma Wan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Huahua Du, Douglas A. Bell, Yunfei Feng, Xuting Wang, Michelle R. Campbell, Gary S. Pittman, Brian D. Bennett, Dan Su, Devin K. Porter and Zhiqing Huang. Their work appears in journals such as Nature Communications, PLoS ONE, Foods, Circulation Cardiovascular Genetics and Journal of Molecular Neuroscience.
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.