Yan Ma
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Oncology top 10%
Papers in
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- RNA Research and Splicing 5
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- Sarcoma Diagnosis and Treatment 12
- Co-authors
- David G. Kirsch (49 shared papers)Chang‐Lung Lee (20 shared papers)Everett J. Moding (9 shared papers)Lixia Luo (26 shared papers)Diana M. Cardona (17 shared papers)Rebecca D. Dodd (10 shared papers)Cristian T. Badea (6 shared papers)Jeffrey K. Mito (7 shared papers)
- Journals
- Radiation Research (7 papers)Cancer Research (5 papers)Journal of Clinical Investigation (4 papers)International Journal of Radiation Oncology*Biology*Physics (3 papers)Molecular Cancer Therapeutics (3 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Yan Ma
64 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 99
- Cancer Research 377
- Oncology 302
- Pulmonary and Respiratory Medicine 340
- Molecular Biology 709
- Radiology, Nuclear Medicine and Imaging 191
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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 238 | |
| 2 | 2014 | 84 | |
| 3 | 2012 | 72 | |
| 4 | 2013 | 65 | |
| 5 | 2015 | 64 | |
| 6 | 2012 | 56 | |
| 7 | 2015 | 54 | |
| 8 | 2014 | 50 | |
| 9 | 2017 | 49 | |
| 10 | 2013 | 49 | |
| 11 | 2009 | 48 | |
| 12 | 2013 | 47 | |
| 13 | 2011 | 44 | |
| 14 | 2007 | 39 | |
| 15 | 2019 | 37 | |
| 16 | 2017 | 36 | |
| 17 | 2015 | 36 | |
| 18 | 2015 | 36 | |
| 19 | 2012 | 35 | |
| 20 | 2018 | 32 |
About Yan Ma
Yan Ma is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Cancer Research and Genetics, having authored 68 papers that have together received 1.7k indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (12 papers), Effects of Radiation Exposure (7 papers), Virus-based gene therapy research (6 papers), Cancer-related Molecular Pathways (6 papers), Cancer, Hypoxia, and Metabolism (6 papers), Cancer Cells and Metastasis (5 papers), RNA Research and Splicing (5 papers) and Cancer-related molecular mechanisms research (5 papers). The work is most often cited by research in Cancer Research (377 citations), Oncology (302 citations), Pulmonary and Respiratory Medicine (340 citations), Molecular Biology (709 citations) and Radiology, Nuclear Medicine and Imaging (191 citations). Yan Ma has collaborated with scholars based in United States, China and Canada. Frequent co-authors include David G. Kirsch, Chang‐Lung Lee, Everett J. Moding, Lixia Luo, Diana M. Cardona, Rebecca D. Dodd, Cristian T. Badea, Jeffrey K. Mito, Mohit Sachdeva and Katherine D. Castle. Their work appears in journals such as Radiation Research, Cancer Research, Journal of Clinical Investigation, International Journal of Radiation Oncology*Biology*Physics and Molecular Cancer Therapeutics.
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.