Yan Ding
Impact in
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 4
- Metabolism, Diabetes, and Cancer 3
- RNA Interference and Gene Delivery 3
- RNA modifications and cancer 3
- Co-authors
- Lin Lin (1 shared paper)Lieguang Zhang (1 shared paper)Xiaoping Tang (1 shared paper)Jinxin Liu (1 shared paper)Chengcheng Yu (1 shared paper)Deyang Huang (1 shared paper)Xi Zhu Xu (1 shared paper)Bihua Chen (1 shared paper)
- Journals
- Journal of Cellular Biochemistry (4 papers)Journal of Cellular and Molecular Medicine (2 papers)Science Advances (2 papers)Scientific Reports (2 papers)Nature Communications (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yan Ding
58 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 121
- Infectious Diseases 328
- Cancer Research 167
- Critical Care and Intensive Care Medicine 53
- Neurology 118
- Oncology 192
Countries citing papers authored by Yan Ding
This map shows the geographic impact of Yan 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 Yan Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Ding more than expected).
Fields of papers citing papers by Yan Ding
This network shows the impact of papers produced by Yan 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 Yan Ding. The network helps show where Yan Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 583 | |
| 2 | 2018 | 111 | |
| 3 | 2008 | 69 | |
| 4 | 2021 | 65 | |
| 5 | 2017 | 47 | |
| 6 | 2020 | 46 | |
| 7 | 2022 | 43 | |
| 8 | 2022 | 37 | |
| 9 | 2019 | 27 | |
| 10 | 2018 | 26 | |
| 11 | 2019 | 26 | |
| 12 | 2018 | 25 | |
| 13 | 2015 | 25 | |
| 14 | 2020 | 25 | |
| 15 | 2018 | 23 | |
| 16 | 2016 | 23 | |
| 17 | 2020 | 23 | |
| 18 | 2018 | 22 | |
| 19 | 2010 | 21 | |
| 20 | 2023 | 19 |
About Yan Ding
Yan Ding is a scholar working on Molecular Biology, Immunology, Cancer Research, Rheumatology and Epidemiology, having authored 64 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (5 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Chronic Kidney Disease and Diabetes (3 papers), Metabolism, Diabetes, and Cancer (3 papers), RNA Interference and Gene Delivery (3 papers), Autophagy in Disease and Therapy (3 papers), RNA modifications and cancer (3 papers) and Renal Diseases and Glomerulopathies (3 papers). The work is most often cited by research in Infectious Diseases (328 citations), Cancer Research (167 citations), Critical Care and Intensive Care Medicine (53 citations), Neurology (118 citations) and Oncology (192 citations). Yan Ding has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Lin Lin, Lieguang Zhang, Xiaoping Tang, Jinxin Liu, Chengcheng Yu, Deyang Huang, Xi Zhu Xu, Bihua Chen, Zhoukun Ling and Jing Tao Qu. Their work appears in journals such as Journal of Cellular Biochemistry, Journal of Cellular and Molecular Medicine, Science Advances, Scientific Reports and Nature Communications.
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.