Yan Ding
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Intracerebral and Subarachnoid Hemorrhage Research
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
-
- Cancer therapeutics and mechanisms 6
- Immunology 34
- Immune Response and Inflammation 10
- Immune Cell Function and Interaction 9
- T-cell and B-cell Immunology 8
- Co-authors
- John H. Zhang (21 shared papers)Jiping Tang (19 shared papers)Liwu Fu (5 shared papers)Wang Liao (12 shared papers)Ningbo Xu (7 shared papers)Wei Xiang (11 shared papers)Zuoming Sun (6 shared papers)Jian Ma (6 shared papers)
- Journals
- Biomedicine & Pharmacotherapy (7 papers)PLoS ONE (5 papers)Journal of Neuroinflammation (5 papers)Experimental Neurology (5 papers)The Journal of Immunology (4 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Yan Ding
146 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 138
- Neurology 279
- Immunology 639
- Developmental Neuroscience 91
- Oncology 543
- Molecular Biology 1.4k
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 154 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 149 | |
| 2 | 2019 | 139 | |
| 3 | 2004 | 135 | |
| 4 | 2006 | 132 | |
| 5 | 2010 | 105 | |
| 6 | 2018 | 105 | |
| 7 | 2019 | 102 | |
| 8 | 2013 | 102 | |
| 9 | 2020 | 86 | |
| 10 | 2020 | 79 | |
| 11 | 2018 | 72 | |
| 12 | 2018 | 70 | |
| 13 | 2006 | 62 | |
| 14 | 2018 | 57 | |
| 15 | 2004 | 55 | |
| 16 | 2018 | 54 | |
| 17 | 2018 | 54 | |
| 18 | 2015 | 53 | |
| 19 | 2019 | 51 | |
| 20 | 2012 | 50 |
About Yan Ding
Yan Ding is a scholar working on Molecular Biology, Immunology, Oncology, Public Health, Environmental and Occupational Health and Organic Chemistry, having authored 154 papers that have together received 3.6k indexed citations. Recurring topics across this work include Immune Response and Inflammation (10 papers), Malaria Research and Control (10 papers), Immune Cell Function and Interaction (9 papers), Mosquito-borne diseases and control (9 papers), Intracerebral and Subarachnoid Hemorrhage Research (8 papers), T-cell and B-cell Immunology (8 papers), Drug Transport and Resistance Mechanisms (7 papers) and Cancer therapeutics and mechanisms (6 papers). The work is most often cited by research in Neurology (279 citations), Immunology (639 citations), Developmental Neuroscience (91 citations), Oncology (543 citations) and Molecular Biology (1.4k citations). Yan Ding has collaborated with scholars based in China, United States and Germany. Frequent co-authors include John H. Zhang, Jiping Tang, Liwu Fu, Wang Liao, Ningbo Xu, Wei Xiang, Zuoming Sun, Jian Ma, Ruiqing Wang and Wenyue Xu. Their work appears in journals such as Biomedicine & Pharmacotherapy, PLoS ONE, Journal of Neuroinflammation, Experimental Neurology and The Journal of Immunology.
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.