Ding Ma
Impact in
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- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Mitochondrial Function and Pathology
- RNA Research and Splicing
- Genomics and Phylogenetic Studies
- Cancer-related gene regulation
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- Cancer-related molecular mechanisms research
Papers in
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- RNA and protein synthesis mechanisms 5
- RNA modifications and cancer 4
- RNA Research and Splicing 3
- Mitochondrial Function and Pathology 2
- Genomics and Phylogenetic Studies 2
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- Cervical Cancer and HPV Research 4
- Co-authors
- B.A. Roe (2 shared papers)Takeo Suzuki (2 shared papers)Yuriko Sakaguchi (2 shared papers)Hironori Saito (2 shared papers)Rebecca K. Wilson (1 shared paper)Xuewei Zhao (2 shared papers)Jong Fu Wong (1 shared paper)Tsutomu Suzuki (2 shared papers)
- Journals
- Nature Communications (2 papers)Gene (2 papers)Cancer Letters (1 paper)BMC Medicine (1 paper)Journal of Clinical Oncology (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Ding Ma
18 papers receiving 451 citations
Ding Ma's Hit Papers
Peers
Comparison fields: 5 of 57
- Molecular Biology 360
- Cancer Research 45
- Clinical Biochemistry 16
- Oncology 53
- Immunology 28
Countries citing papers authored by Ding Ma
This map shows the geographic impact of Ding 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 Ding Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ding Ma more than expected).
Fields of papers citing papers by Ding Ma
This network shows the impact of papers produced by Ding 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 Ding Ma. The network helps show where Ding Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Ding 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
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 189 | |
| 2 | 1983 | 57 | |
| 3 | 2021 | 54 | |
| 4 | Advances in cervical cancer: current insights and future directions Hit paper breakdown → | 2024 | 51 |
| 5 | 2023 | 45 | |
| 6 | 1988 | 18 | |
| 7 | 1984 | 14 | |
| 8 | 2022 | 12 | |
| 9 | 1986 | 7 | |
| 10 | 2022 | 4 | |
| 11 | 2025 | 2 | |
| 12 | 2025 | 2 | |
| 13 | 2025 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2025 | 0 |
About Ding Ma
Ding Ma is a scholar working on Molecular Biology, Epidemiology, Oncology, Obstetrics and Gynecology and Genetics, having authored 19 papers that have together received 461 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (5 papers), Cervical Cancer and HPV Research (4 papers), RNA modifications and cancer (4 papers), RNA Research and Splicing (3 papers), Endometrial and Cervical Cancer Treatments (2 papers), Mitochondrial Function and Pathology (2 papers), Genomics and Phylogenetic Studies (2 papers) and Estrogen and related hormone effects (1 paper). The work is most often cited by research in Molecular Biology (360 citations), Cancer Research (45 citations), Clinical Biochemistry (16 citations), Oncology (53 citations) and Immunology (28 citations). Ding Ma has collaborated with scholars based in China, United States and Japan. Frequent co-authors include B.A. Roe, Takeo Suzuki, Yuriko Sakaguchi, Hironori Saito, Rebecca K. Wilson, Xuewei Zhao, Jong Fu Wong, Tsutomu Suzuki, Shintaro Iwasaki and Mari Mito. Their work appears in journals such as Nature Communications, Gene, Cancer Letters, BMC Medicine and Journal of Clinical Oncology.
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.