Yan Ma
Impact in
- Aging top 10%
- Molecular Biology top 10%
- Hedgehog Signaling Pathway Studies
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- Bacterial biofilms and quorum sensing
Papers in
-
- Cancer-related gene regulation 7
- RNA modifications and cancer 4
- Mitochondrial Function and Pathology 3
- Circular RNAs in diseases 3
- Epigenetics and DNA Methylation 3
-
- Cancer-related molecular mechanisms research 4
- Cancer, Hypoxia, and Metabolism 3
- Co-authors
- Jennifer H. Kong (1 shared paper)Sohini Khan (1 shared paper)Mary N. Teruel (1 shared paper)Robert Ahrends (1 shared paper)Eric William Humke (1 shared paper)Bennett G. Novitch (1 shared paper)Rajat Rohatgi (1 shared paper)Paweł Niewiadomski (1 shared paper)
- Journals
- Life Sciences (2 papers)Cancer Cell International (2 papers)Signal Transduction and Targeted Therapy (1 paper)Food Bioscience (1 paper)International Journal of Molecular Medicine (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yan Ma
75 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 129
- Aging 30
- Molecular Biology 831
- Cancer Research 165
- Immunology 137
- Oncology 136
Countries citing papers authored by Yan Ma
This map shows the geographic impact of Yan 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 Yan Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Ma more than expected).
Fields of papers citing papers by Yan Ma
This network shows the impact of papers produced by Yan 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 Yan Ma. The network helps show where Yan Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan 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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 197 | |
| 2 | 2018 | 124 | |
| 3 | 2021 | 99 | |
| 4 | 2008 | 78 | |
| 5 | 2022 | 61 | |
| 6 | 2022 | 51 | |
| 7 | 2022 | 51 | |
| 8 | 2018 | 45 | |
| 9 | 2022 | 44 | |
| 10 | 2021 | 44 | |
| 11 | 2012 | 42 | |
| 12 | 2010 | 36 | |
| 13 | 2021 | 35 | |
| 14 | 2004 | 35 | |
| 15 | 2005 | 33 | |
| 16 | 2021 | 32 | |
| 17 | 2016 | 32 | |
| 18 | 2022 | 32 | |
| 19 | 2016 | 32 | |
| 20 | 2020 | 28 |
About Yan Ma
Yan Ma is a scholar working on Molecular Biology, Cancer Research, Biophysics, Oncology and Epidemiology, having authored 78 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cancer-related gene regulation (7 papers), Autophagy in Disease and Therapy (4 papers), RNA modifications and cancer (4 papers), Cancer-related molecular mechanisms research (4 papers), Mitochondrial Function and Pathology (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Circular RNAs in diseases (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Aging (30 citations), Molecular Biology (831 citations), Cancer Research (165 citations), Immunology (137 citations) and Oncology (136 citations). Yan Ma has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jennifer H. Kong, Sohini Khan, Mary N. Teruel, Robert Ahrends, Eric William Humke, Bennett G. Novitch, Rajat Rohatgi, Paweł Niewiadomski, Yongchao Mei and Jianrong Li. Their work appears in journals such as Life Sciences, Cancer Cell International, Signal Transduction and Targeted Therapy, Food Bioscience and International Journal of Molecular Medicine.
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.