Ying Ding

7.2k citations
210 papers · 4.7k · 1 hit paper · h-index 38

Impact in

Papers in

Ying Ding

200 papers receiving 4.6k citations

Ying Ding's Hit Papers

Treg cell-derived osteopontin promotes microglia-mediated white matter repair after ischemic stroke 2021 · 287 citations
2870+1+3Years since publication50100150200250

Peers

Ying Ding
Comparison fields: 5 of 192
  • Biological Psychiatry 213
  • Neurology 295
  • Behavioral Neuroscience 119
  • Cancer Research 346
  • Molecular Biology 1.6k
Replace Min Chen with:
Min Chen China
Khusru Asadullah Germany
Jesper Tegnér Sweden
Grier P. Page United States
Ping Zhang China
Sudhir Varma United States
George C. Tseng United States
Gilles Edan France
Benjamin M. Bolstad United States
Ming Tan United States
Ying Ding relative to Min Chen China Min Chen's profile →
Citations per field
00.5×2×3.0×
Min Chen · 1×
Citations per year

Countries citing papers authored by Ying Ding

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ying Ding Line = papers co-authored together Ying Ding links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 210 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 →
2021287
2 2013203
3 2014183
4 2012168
5 2015164
6 2015119
7 2020104
8 2014101
9 201590
10 202182
11 201982
12 202078
13 201374
14 201473
15 201872
16 200972
17 201264
18 201460
19 202059
20 201258

About Ying Ding

Ying Ding is a scholar working on Molecular Biology, Statistics and Probability, Surgery, Genetics and Pulmonary and Respiratory Medicine, having authored 210 papers that have together received 4.7k indexed citations. Recurring topics across this work include Statistical Methods and Inference (15 papers), Bioinformatics and Genomic Networks (13 papers), Genetic Associations and Epidemiology (11 papers), Retinal Diseases and Treatments (10 papers), Tryptophan and brain disorders (10 papers), Gene expression and cancer classification (8 papers), Retinal Imaging and Analysis (8 papers) and Statistical Methods and Bayesian Inference (7 papers). The work is most often cited by research in Biological Psychiatry (213 citations), Neurology (295 citations), Behavioral Neuroscience (119 citations), Cancer Research (346 citations) and Molecular Biology (1.6k 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, Min Song, Robert A. Sweet, Tamy Chambers, Beverly J. French, Chris Gaiteri, David A. Lewis and Jianhua Luo. Their work appears in journals such as Statistics in Medicine, PLoS ONE, American Journal Of Pathology, Bioinformatics 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.

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