Fen Ma
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Electrochemistry top 5%
- Electrochemical Analysis and Applications
Papers in ⓘ
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- Advanced biosensing and bioanalysis techniques 6
- Ubiquitin and proteasome pathways 5
- Wnt/β-catenin signaling in development and cancer 3
- Cancer-related gene regulation 3
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- Prostate Cancer Treatment and Research 8
- Co-authors
- Qiang Gao (4 shared papers)Chengxiao Zhang (4 shared papers)Honglan Qi (4 shared papers)Steven P. Balk (9 shared papers)Xin Yuan (6 shared papers)Sen Chen (6 shared papers)Changmeng Cai (5 shared papers)Lingfeng He (3 shared papers)
- Journals
- Cancer Research (3 papers)Biosensors and Bioelectronics (2 papers)Leukemia (2 papers)Journal of Clinical Investigation (2 papers)Cancer Letters (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Fen Ma
41 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 95
- Cancer Research 292
- Electrochemistry 95
- Molecular Biology 959
- Urology 72
- Pulmonary and Respiratory Medicine 353
Countries citing papers authored by Fen Ma
This map shows the geographic impact of Fen 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 Fen Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fen Ma more than expected).
Fields of papers citing papers by Fen Ma
This network shows the impact of papers produced by Fen 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 Fen Ma. The network helps show where Fen Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Fen 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 211 | |
| 2 | 2008 | 148 | |
| 3 | 2016 | 134 | |
| 4 | 2010 | 96 | |
| 5 | 2004 | 82 | |
| 6 | 2016 | 75 | |
| 7 | 2016 | 71 | |
| 8 | 2013 | 56 | |
| 9 | 2020 | 54 | |
| 10 | 2013 | 51 | |
| 11 | 2011 | 45 | |
| 12 | 2018 | 38 | |
| 13 | 2010 | 33 | |
| 14 | 2021 | 30 | |
| 15 | 2017 | 29 | |
| 16 | 2020 | 29 | |
| 17 | 2021 | 28 | |
| 18 | 2009 | 27 | |
| 19 | 2023 | 26 | |
| 20 | 2014 | 23 |
About Fen Ma
Fen Ma is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Surgery and Epidemiology, having authored 44 papers that have together received 1.4k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (8 papers), Advanced biosensing and bioanalysis techniques (6 papers), Ubiquitin and proteasome pathways (5 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Immune Cell Function and Interaction (3 papers), Cancer-related gene regulation (3 papers), Biosensors and Analytical Detection (3 papers) and Bone fractures and treatments (3 papers). The work is most often cited by research in Cancer Research (292 citations), Electrochemistry (95 citations), Molecular Biology (959 citations), Urology (72 citations) and Pulmonary and Respiratory Medicine (353 citations). Fen Ma has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Qiang Gao, Chengxiao Zhang, Honglan Qi, Steven P. Balk, Xin Yuan, Sen Chen, Changmeng Cai, Lingfeng He, Housheng Hansen He and Adam G. Sowalsky. Their work appears in journals such as Cancer Research, Biosensors and Bioelectronics, Leukemia, Journal of Clinical Investigation and Cancer Letters.
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.