Yang Ding

28 papers receiving 325 citations

Peers

Yang Ding
Comparison fields: 5 of 81
  • Ophthalmology 56
  • Epidemiology 142
  • Radiology, Nuclear Medicine and Imaging 54
  • Urology 9
  • Oncology 20
Replace Amol D. Kulkarni with:
Amol D. Kulkarni United States
Jinyu Li China
Jingxue Ma China
Nikolaos Tzoumas United Kingdom
Masahiko Kure Japan
Hümeyra Karacal United States
M. Treier Germany
Elsa Wilma Böhm Germany
Yang Ding relative to Amol D. Kulkarni United States Amol D. Kulkarni's profile →
Citations per field
00.5×5×11.4×
Amol D. Kulkarni · 1×
Citations per year

Countries citing papers authored by Yang Ding

Since Specialization
Citations

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

Fields of papers citing papers by Yang Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018106
2 201825
3 202123
4 202222
5 201822
6 202316
7 201512
8 202110
9 202410
10 202110
11
Assessment of exonic single nucleotide polymorphisms in the adenosine A2A receptor gene to high myopia susceptibility in Chinese subjects.
20118
12 20178
13 20198
14 20227
15 20256
16 20235
17 20225
18
Association analysis of retinoic acid receptor beta (RARbeta) gene with high myopia in Chinese subjects.
20105
19 20195
20 20183

About Yang Ding

Yang Ding is a scholar working on Epidemiology, Surgery, Oncology, Molecular Biology and Pharmacology, having authored 32 papers that have together received 330 indexed citations. Recurring topics across this work include Ophthalmology and Visual Impairment Studies (5 papers), Click Chemistry and Applications (1 paper), Ferroptosis and cancer prognosis (1 paper), Acupuncture Treatment Research Studies (1 paper), Molecular Sensors and Ion Detection (1 paper), Liver physiology and pathology (1 paper), Drug-Induced Hepatotoxicity and Protection (1 paper) and Ophthalmology and Eye Disorders (1 paper). The work is most often cited by research in Ophthalmology (56 citations), Epidemiology (142 citations), Radiology, Nuclear Medicine and Imaging (54 citations), Urology (9 citations) and Oncology (20 citations). Yang Ding has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Charumathi Sabanayagam, Seang‐Mei Saw, Chee Wai Wong, Ecosse L. Lamoureux, Quan V. Hoang, Kyoko Ohno‐Matsui, Jie Jin Wang, Ching‐Yu Cheng, Tien Yin Wong and Yin‐Bun Cheung. Their work appears in journals such as Seminars in Plastic Surgery, Investigative Ophthalmology & Visual Science, The Prostate, Computational and Structural Biotechnology Journal and Eye & Contact Lens Science & Clinical Practice.

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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