Ming Ma
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- RNA modifications and cancer 4
- Cancer-related gene regulation 3
- Epigenetics and DNA Methylation 3
- Circular RNAs in diseases 2
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- Cancer-related molecular mechanisms research 6
- MicroRNA in disease regulation 3
- Co-authors
- Lihua Liu (7 shared papers)Yuqing Duan (3 shared papers)Yunlong Jia (3 shared papers)Lianmei Zhao (7 shared papers)Yu Wang (2 shared papers)Meixiang Sang (3 shared papers)Baoen Shan (7 shared papers)Xianli Meng (1 shared paper)
- Journals
- Oncology Reports (2 papers)Scientific Reports (2 papers)Oncotarget (2 papers)Biochemical and Biophysical Research Communications (1 paper)Digestive and Liver Disease (1 paper)
- Partner nations
- ChinaUnited StatesSlovakia
In The Last Decade
Ming Ma
29 papers receiving 530 citations
Peers
Comparison fields: 5 of 75
- Biological Psychiatry 37
- Cancer Research 137
- Immunology 94
- Oncology 103
- Molecular Biology 227
Countries citing papers authored by Ming Ma
This map shows the geographic impact of Ming 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 Ming Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Ma more than expected).
Fields of papers citing papers by Ming Ma
This network shows the impact of papers produced by Ming 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 Ming Ma. The network helps show where Ming Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 85 | |
| 2 | 2015 | 55 | |
| 3 | 2016 | 47 | |
| 4 | 2015 | 35 | |
| 5 | Cytochemical studies of secretory and other granules associated with the endoplasmic reticulum in rat thyroid epithelial cells. | 1974 | 29 |
| 6 | 2019 | 28 | |
| 7 | 2019 | 23 | |
| 8 | 2017 | 23 | |
| 9 | 2016 | 22 | |
| 10 | 2018 | 22 | |
| 11 | 2018 | 21 | |
| 12 | 2016 | 17 | |
| 13 | 2016 | 17 | |
| 14 | 2016 | 14 | |
| 15 | 2017 | 13 | |
| 16 | 2016 | 12 | |
| 17 | 2018 | 9 | |
| 18 | 2020 | 9 | |
| 19 | 2019 | 9 | |
| 20 | 2017 | 8 |
About Ming Ma
Ming Ma is a scholar working on Molecular Biology, Cancer Research, Oncology, Pathology and Forensic Medicine and Immunology, having authored 32 papers that have together received 540 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), RNA modifications and cancer (4 papers), Cancer-related gene regulation (3 papers), Epigenetics and DNA Methylation (3 papers), MicroRNA in disease regulation (3 papers), Circular RNAs in diseases (2 papers), CAR-T cell therapy research (2 papers) and Toxin Mechanisms and Immunotoxins (2 papers). The work is most often cited by research in Biological Psychiatry (37 citations), Cancer Research (137 citations), Immunology (94 citations), Oncology (103 citations) and Molecular Biology (227 citations). Ming Ma has collaborated with scholars based in China, United States and Slovakia. Frequent co-authors include Lihua Liu, Yuqing Duan, Yunlong Jia, Lianmei Zhao, Yu Wang, Meixiang Sang, Baoen Shan, Xianli Meng, Ling Ma and Tingting Wang. Their work appears in journals such as Oncology Reports, Scientific Reports, Oncotarget, Biochemical and Biophysical Research Communications and Digestive and Liver Disease.
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.