Min Ma
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Molecular Biology top 10%
- Circular RNAs in diseases
- RNA modifications and cancer
- Extracellular vesicles in disease
Papers in ⓘ
-
- Cancer-related molecular mechanisms research 11
- MicroRNA in disease regulation 10
- Co-authors
- Zhengzhi Wu (12 shared papers)Changwei Lin (7 shared papers)Qiang Zeng (6 shared papers)Fei Long (5 shared papers)Dongmei Gao (7 shared papers)Guijuan Zhang (12 shared papers)Jiefeng Cui (7 shared papers)Rui Zhang (7 shared papers)
- Journals
- Scientific Reports (7 papers)Evidence-based Complementary and Alternative Medicine (5 papers)BMC Cancer (3 papers)Nature Communications (2 papers)OncoTargets and Therapy (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Min Ma
119 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 134
- Cancer Research 641
- Molecular Biology 1.2k
- Complementary and alternative medicine 131
- Pharmacology 133
- Pharmacology 174
Countries citing papers authored by Min Ma
This map shows the geographic impact of Min 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 Min Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Ma more than expected).
Fields of papers citing papers by Min Ma
This network shows the impact of papers produced by Min 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 Min Ma. The network helps show where Min Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Min 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 125 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 125 | |
| 2 | 2017 | 74 | |
| 3 | 2019 | 73 | |
| 4 | 2018 | 70 | |
| 5 | 2020 | 60 | |
| 6 | 2022 | 54 | |
| 7 | 2010 | 53 | |
| 8 | 2018 | 50 | |
| 9 | 2019 | 49 | |
| 10 | 2019 | 43 | |
| 11 | 2019 | 43 | |
| 12 | 2017 | 43 | |
| 13 | 2020 | 43 | |
| 14 | 2019 | 42 | |
| 15 | 2017 | 40 | |
| 16 | 2019 | 38 | |
| 17 | 2016 | 38 | |
| 18 | 2018 | 35 | |
| 19 | 2017 | 33 | |
| 20 | 2013 | 33 |
About Min Ma
Min Ma is a scholar working on Cancer Research, Pharmacology, Molecular Biology, Hepatology and Pharmacology, having authored 125 papers that have together received 2.3k indexed citations. Recurring topics across this work include Circular RNAs in diseases (12 papers), Cancer-related molecular mechanisms research (11 papers), MicroRNA in disease regulation (10 papers), Gastric Cancer Management and Outcomes (7 papers), RNA modifications and cancer (6 papers), Extracellular vesicles in disease (6 papers), Liver physiology and pathology (5 papers) and Postharvest Quality and Shelf Life Management (5 papers). The work is most often cited by research in Cancer Research (641 citations), Molecular Biology (1.2k citations), Complementary and alternative medicine (131 citations), Pharmacology (133 citations) and Pharmacology (174 citations). Min Ma has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhengzhi Wu, Changwei Lin, Qiang Zeng, Fei Long, Dongmei Gao, Guijuan Zhang, Jiefeng Cui, Rui Zhang, Xiaorong Li and Xuefeng Jiang. Their work appears in journals such as Scientific Reports, Evidence-based Complementary and Alternative Medicine, BMC Cancer, Nature Communications and OncoTargets and Therapy.
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.