Ying Ding
Impact in
- Biological Psychiatry top 2%
- Tryptophan and brain disorders
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Bioinformatics and Genomic Networks 17
- Gene expression and cancer classification 12
- Surgery 23
- Co-authors
- George C. Tseng (16 shared papers)Etienne Sibille (8 shared papers)Wei Chen (19 shared papers)Robert A. Sweet (17 shared papers)Beverly J. French (2 shared papers)Min Song (4 shared papers)Tamy Chambers (3 shared papers)David A. Lewis (10 shared papers)
- Journals
- Statistics in Medicine (7 papers)PLoS ONE (6 papers)Bioinformatics (5 papers)American Journal Of Pathology (5 papers)Scientific Reports (4 papers)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Ying Ding
191 papers receiving 4.3k citations
Ying Ding's Hit Papers
Peers
Comparison fields: 5 of 194
- Biological Psychiatry 244
- Neurology 323
- Behavioral Neuroscience 137
- Cancer Research 419
- Molecular Biology 1.7k
Countries citing papers authored by Ying Ding
This map shows the geographic impact of Ying 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 Ying Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Ding more than expected).
Fields of papers citing papers by Ying Ding
This network shows the impact of papers produced by Ying 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 Ying Ding. The network helps show where Ying Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying 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 202 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Treg cell-derived osteopontin promotes microglia-mediated white matter repair after ischemic stroke Hit paper breakdown → | 2021 | 267 |
| 2 | 2013 | 197 | |
| 3 | 2012 | 164 | |
| 4 | 2015 | 163 | |
| 5 | 2014 | 152 | |
| 6 | 2015 | 110 | |
| 7 | 2014 | 96 | |
| 8 | 2020 | 92 | |
| 9 | 2015 | 82 | |
| 10 | 2021 | 80 | |
| 11 | 2019 | 80 | |
| 12 | 2020 | 73 | |
| 13 | 2014 | 72 | |
| 14 | 2013 | 70 | |
| 15 | 2018 | 66 | |
| 16 | 2009 | 65 | |
| 17 | 2012 | 61 | |
| 18 | 2014 | 60 | |
| 19 | 2020 | 58 | |
| 20 | 2015 | 57 |
About Ying Ding
Ying Ding is a scholar working on Molecular Biology, Surgery, Statistics and Probability, Genetics and Oncology, having authored 202 papers that have together received 4.4k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (17 papers), Statistical Methods and Inference (13 papers), Tryptophan and brain disorders (12 papers), Gene expression and cancer classification (12 papers), Genetic Associations and Epidemiology (12 papers), Neuroscience and Neuropharmacology Research (11 papers), Retinal Diseases and Treatments (9 papers) and Retinal Imaging and Analysis (8 papers). The work is most often cited by research in Biological Psychiatry (244 citations), Neurology (323 citations), Behavioral Neuroscience (137 citations), Cancer Research (419 citations) and Molecular Biology (1.7k citations). Ying Ding has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include George C. Tseng, Etienne Sibille, Wei Chen, Robert A. Sweet, Beverly J. French, Min Song, Tamy Chambers, David A. Lewis, Chris Gaiteri and Jianhua Luo. Their work appears in journals such as Statistics in Medicine, PLoS ONE, Bioinformatics, American Journal Of Pathology and Scientific Reports.
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.