Wei Ma
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Immunology top 10%
- Immune Response and Inflammation
Papers in
-
- MicroRNA in disease regulation 8
-
- Sarcoma Diagnosis and Treatment 7
- Co-authors
- Maya Kozlowski (3 shared papers)Katrina Gee (3 shared papers)Wilfred Lim (3 shared papers)Susan Aucoin (2 shared papers)Yujie Fu (3 shared papers)Francisco Díaz‐Mitoma (2 shared papers)Jiao Jiao (3 shared papers)Qing‐Yan Gai (3 shared papers)
- Journals
- Scientific Reports (4 papers)Oncology Reports (4 papers)PLoS ONE (2 papers)Pharmaceuticals (2 papers)The Journal of Immunology (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Wei Ma
67 papers receiving 1.6k citations
Wei Ma's Hit Papers
Peers
Comparison fields: 5 of 95
- Cancer Research 263
- Immunology 196
- Oncology 143
- Molecular Biology 393
- Food Science 82
Countries citing papers authored by Wei Ma
This map shows the geographic impact of Wei 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 Wei Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Ma more than expected).
Fields of papers citing papers by Wei Ma
This network shows the impact of papers produced by Wei 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 Wei Ma. The network helps show where Wei Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 281 | |
| 2 | 2013 | 207 | |
| 3 | 2004 | 116 | |
| 4 | 2015 | 71 | |
| 5 | 2016 | 68 | |
| 6 | 2004 | 63 | |
| 7 | 2015 | 61 | |
| 8 | 2015 | 60 | |
| 9 | 2011 | 46 | |
| 10 | 2002 | 43 | |
| 11 | 2019 | 36 | |
| 12 | 2012 | 34 | |
| 13 | 2018 | 34 | |
| 14 | 2012 | 30 | |
| 15 | 2016 | 30 | |
| 16 | 2013 | 28 | |
| 17 | S100P is a ferroptosis suppressor to facilitate hepatocellular carcinoma development by rewiring lipid metabolism Hit paper breakdown → | 2025 | 28 |
| 18 | 2017 | 25 | |
| 19 | 2016 | 24 | |
| 20 | 2024 | 24 |
About Wei Ma
Wei Ma is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine, Molecular Biology, Complementary and alternative medicine and Analytical Chemistry, having authored 69 papers that have together received 1.7k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (8 papers), Sarcoma Diagnosis and Treatment (7 papers), Plant Diversity and Evolution (5 papers), Plant Ecology and Taxonomy Studies (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), Traditional Chinese Medicine Analysis (3 papers), Angiogenesis and VEGF in Cancer (3 papers) and Pesticide Residue Analysis and Safety (2 papers). The work is most often cited by research in Cancer Research (263 citations), Immunology (196 citations), Oncology (143 citations), Molecular Biology (393 citations) and Food Science (82 citations). Wei Ma has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Maya Kozlowski, Katrina Gee, Wilfred Lim, Susan Aucoin, Yujie Fu, Francisco Díaz‐Mitoma, Jiao Jiao, Qing‐Yan Gai, Devki Nandan and Ashok Kumar. Their work appears in journals such as Scientific Reports, Oncology Reports, PLoS ONE, Pharmaceuticals and The Journal of 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.