Wenxia Ma
Impact in
- Molecular Medicine top 5%
- Curcumin's Biomedical Applications
- Geriatrics and Gerontology top 10%
Papers in
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- Ubiquitin and proteasome pathways 8
- Mitochondrial Function and Pathology 4
- Metabolism, Diabetes, and Cancer 2
- ATP Synthase and ATPases Research 2
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- Adipose Tissue and Metabolism 3
- Co-authors
- Yameng Fan (5 shared papers)Yan Yu (5 shared papers)Danrong Yang (5 shared papers)Jie Li (6 shared papers)Huabo Su (8 shared papers)Furong Liu (4 shared papers)Yuxuan Yang (2 shared papers)Xiaodan Zhao (2 shared papers)
- Journals
- Cancer Cell International (3 papers)The FASEB Journal (2 papers)American Journal of Physiology-Heart and Circulatory Physiology (2 papers)BMC Veterinary Research (1 paper)PLoS ONE (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Wenxia Ma
34 papers receiving 737 citations
Peers
Comparison fields: 5 of 82
- Molecular Medicine 73
- Geriatrics and Gerontology 22
- Cancer Research 87
- Molecular Biology 424
- Cell Biology 87
Countries citing papers authored by Wenxia Ma
This map shows the geographic impact of Wenxia 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 Wenxia Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenxia Ma more than expected).
Fields of papers citing papers by Wenxia Ma
This network shows the impact of papers produced by Wenxia 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 Wenxia Ma. The network helps show where Wenxia Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Wenxia 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 132 | |
| 2 | 2018 | 75 | |
| 3 | 2018 | 63 | |
| 4 | 2017 | 59 | |
| 5 | 2021 | 46 | |
| 6 | 2020 | 39 | |
| 7 | 2019 | 37 | |
| 8 | 2015 | 34 | |
| 9 | 2016 | 33 | |
| 10 | 2015 | 30 | |
| 11 | 2017 | 27 | |
| 12 | 2017 | 25 | |
| 13 | 2021 | 23 | |
| 14 | 2019 | 16 | |
| 15 | 2020 | 13 | |
| 16 | 2020 | 11 | |
| 17 | 2021 | 11 | |
| 18 | 2023 | 10 | |
| 19 | 2025 | 7 | |
| 20 | 2021 | 6 |
About Wenxia Ma
Wenxia Ma is a scholar working on Molecular Biology, Physiology, Oncology, Surgery and Hematology, having authored 42 papers that have together received 744 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (8 papers), Mitochondrial Function and Pathology (4 papers), Adipose Tissue and Metabolism (3 papers), Peptidase Inhibition and Analysis (3 papers), Metabolism, Diabetes, and Cancer (2 papers), ATP Synthase and ATPases Research (2 papers), Autophagy in Disease and Therapy (2 papers) and Acute Myeloid Leukemia Research (2 papers). The work is most often cited by research in Molecular Medicine (73 citations), Geriatrics and Gerontology (22 citations), Cancer Research (87 citations), Molecular Biology (424 citations) and Cell Biology (87 citations). Wenxia Ma has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yameng Fan, Yan Yu, Danrong Yang, Jie Li, Huabo Su, Furong Liu, Yuxuan Yang, Xiaodan Zhao, Song Gao and Aimin Yang. Their work appears in journals such as Cancer Cell International, The FASEB Journal, American Journal of Physiology-Heart and Circulatory Physiology, BMC Veterinary Research and PLoS ONE.
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.