Yan Ding

1.3k citations
49 papers · 992 · h-index 18

Impact in

    • Pharmacological Effects of Natural Compounds
    • Drug-Induced Hepatotoxicity and Protection
  • Nephrology top 10%
    • Renal Diseases and Glomerulopathies

Papers in

Yan Ding

43 papers receiving 975 citations

Peers

Yan Ding
Comparison fields: 5 of 85
  • Pharmacology 132
  • Nephrology 79
  • Plant Science 391
  • Toxicology 30
  • Immunology 184
Replace Salvatore Florio with:
Salvatore Florio Italy
Xuan Luo China
Lei Pan China
Chul Ho Lee South Korea
Prakash Babu Narasimhan India
Rong‐Hwa Lin Taiwan
Rajaa Al‐Attiyah Kuwait
Geir Hetland Norway
Hua Sun China
Yan Ding relative to Salvatore Florio Italy Salvatore Florio's profile →
Citations per field
00.5×4.0×
Salvatore Florio · 1×
Citations per year

Countries citing papers authored by Yan Ding

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008122
2 1997110
3 199475
4 201869
5 199860
6 201351
7 199051
8 199748
9 201638
10 199836
11 201535
12 201932
13 201630
14 202025
15 201025
16 200618
17 199818
18 202018
19 201517
20 201216

About Yan Ding

Yan Ding is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Surgery, Epidemiology and Pharmacology, having authored 49 papers that have together received 992 indexed citations. Recurring topics across this work include Kawasaki Disease and Coronary Complications (8 papers), Vasculitis and related conditions (8 papers), Inflammasome and immune disorders (7 papers), Renal Diseases and Glomerulopathies (6 papers), Drug-Induced Hepatotoxicity and Protection (6 papers), Autoimmune and Inflammatory Disorders Research (4 papers), Liver Disease Diagnosis and Treatment (4 papers) and Pharmacological Effects of Natural Compounds (4 papers). The work is most often cited by research in Pharmacology (132 citations), Nephrology (79 citations), Plant Science (391 citations), Toxicology (30 citations) and Immunology (184 citations). Yan Ding has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include James J. Pestka, Hui-Ren Zhou, Lei Zhao, Louis E. King, Zhihua Huang, Kathryn H. Brooks, Lucy F. Lee, Yanying Duan, Pian Ye and Shuling Zhang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Toxicology and Applied Pharmacology, Food and Chemical Toxicology, Pediatric Nephrology and Frontiers in Pharmacology.

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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