Zeyang Ding
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
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- RNA modifications and cancer 12
- TGF-β signaling in diseases 7
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- Cancer-related molecular mechanisms research 5
- Cancer, Hypoxia, and Metabolism 5
- Co-authors
- Bixiang Zhang (41 shared papers)Huifang Liang (33 shared papers)Xiaoping Chen (27 shared papers)Ganxun Li (26 shared papers)Weixun Chen (9 shared papers)Zhao Huang (12 shared papers)Guan-nan Jin (20 shared papers)Peng Zhu (9 shared papers)
- Journals
- Aging (5 papers)Hepatology (4 papers)Medicine (3 papers)Advanced Science (3 papers)ACS Nano (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Zeyang Ding
85 papers receiving 1.9k citations
Zeyang Ding's Hit Papers
Peers
Comparison fields: 5 of 113
- Cancer Research 407
- Hepatology 166
- Oncology 348
- Biological Psychiatry 31
- Molecular Biology 753
Countries citing papers authored by Zeyang Ding
This map shows the geographic impact of Zeyang Ding'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 Zeyang Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zeyang Ding more than expected).
Fields of papers citing papers by Zeyang Ding
This network shows the impact of papers produced by Zeyang Ding. 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 Zeyang Ding. The network helps show where Zeyang Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Zeyang Ding, 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 91 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 96 | |
| 2 | 2015 | 75 | |
| 3 | 2021 | 73 | |
| 4 | 2020 | 64 | |
| 5 | 2022 | 61 | |
| 6 | 2013 | 60 | |
| 7 | 2019 | 58 | |
| 8 | 2018 | 57 | |
| 9 | 2020 | 56 | |
| 10 | 2023 | 54 | |
| 11 | 2020 | 53 | |
| 12 | 2016 | 50 | |
| 13 | 2022 | 48 | |
| 14 | 2023 | 48 | |
| 15 | 2024 | 45 | |
| 16 | 2021 | 44 | |
| 17 | 2019 | 44 | |
| 18 | Cancer stem cells and niches: challenges in immunotherapy resistance Hit paper breakdown → | 2025 | 44 |
| 19 | 2019 | 39 | |
| 20 | 2022 | 38 |
About Zeyang Ding
Zeyang Ding is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Hepatology and Surgery, having authored 91 papers that have together received 1.9k indexed citations. Recurring topics across this work include RNA modifications and cancer (12 papers), TGF-β signaling in diseases (7 papers), Liver physiology and pathology (6 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (5 papers), Cancer-related molecular mechanisms research (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), Ferroptosis and cancer prognosis (5 papers) and Cancer Cells and Metastasis (4 papers). The work is most often cited by research in Cancer Research (407 citations), Hepatology (166 citations), Oncology (348 citations), Biological Psychiatry (31 citations) and Molecular Biology (753 citations). Zeyang Ding has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Bixiang Zhang, Huifang Liang, Xiaoping Chen, Ganxun Li, Weixun Chen, Zhao Huang, Guan-nan Jin, Peng Zhu, Jia Song and Wanguang Zhang. Their work appears in journals such as Aging, Hepatology, Medicine, Advanced Science and ACS Nano.
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.