Ding Ye

113 papers receiving 3.1k citations

Ding Ye's Hit Papers

Global burden of musculoskeletal disorders and attributable factors in 204 countries and territories: a secondary analysis of the Global Burden of Disease 2019 study 2022 · 152 citations
1520+1+2Years since publication50100150

Peers

Ding Ye
Comparison fields: 5 of 135
  • Biological Psychiatry 65
  • Cancer Research 224
  • Nephrology 138
  • Molecular Biology 828
  • Health, Toxicology and Mutagenesis 183
Replace Yen‐Chuan Ou with:
Yen‐Chuan Ou Taiwan
Ning Li China
Cynthia D. Guy United States
Yanli Li China
Hyun Jin Kim South Korea
Vita Dolzan Slovenia
Dae Won Jun South Korea
Jing Sun China
Bradley L. Urquhart Canada
Julie A. Schmidt United Kingdom
Ding Ye relative to Yen‐Chuan Ou Taiwan Yen‐Chuan Ou's profile →
Citations per field
00.5×2×2.7×
Yen‐Chuan Ou · 1×
Citations per year

Countries citing papers authored by Ding Ye

Since Specialization
Citations

This map shows the geographic impact of Ding Ye'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 Ding Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ding Ye more than expected).

Fields of papers citing papers by Ding Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ding Ye. 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 Ding Ye. The network helps show where Ding Ye may publish in the future.

Co-authors

The 25 scholars most cited alongside Ding Ye, 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 Ding Ye Line = papers co-authored together Ding Ye links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 122 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005264
2
Global burden of musculoskeletal disorders and attributable factors in 204 countries and territories: a secondary analysis of the Global Burden of Disease 2019 study
Hit paper breakdown →
2022152
3 2013141
4 2014128
5 2018127
6 2019121
7 2020109
8 2022109
9 2013105
10 201497
11 201687
12 201186
13 201682
14 202076
15 201774
16 202268
17 202258
18 201456
19 201353
20 202151

About Ding Ye

Ding Ye is a scholar working on Rheumatology, Genetics, Nephrology, Health, Toxicology and Mutagenesis and Cancer Research, having authored 122 papers that have together received 3.2k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (19 papers), Rheumatoid Arthritis Research and Therapies (9 papers), Gout, Hyperuricemia, Uric Acid (6 papers), Atherosclerosis and Cardiovascular Diseases (6 papers), Air Quality and Health Impacts (5 papers), MicroRNA in disease regulation (5 papers), Global Cancer Incidence and Screening (3 papers) and Genetic factors in colorectal cancer (3 papers). The work is most often cited by research in Biological Psychiatry (65 citations), Cancer Research (224 citations), Nephrology (138 citations), Molecular Biology (828 citations) and Health, Toxicology and Mutagenesis (183 citations). Ding Ye has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Yingying Mao, Ming‐Hui Zou, Charles E. Lawrence, Chi Yu Chan, Ping Song, Kun Chen, Xiaohui Sun, Mingjuan Jin, Xiaoqian Dai and Yingjun Li. Their work appears in journals such as Frontiers in Immunology, Frontiers in Nutrition, Scientific Reports, BMC Medicine and The Journal of Rheumatology.

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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