Yan S. Ding

1.2k citations
25 papers · 1.0k · h-index 15

Impact in

    • Toxic Organic Pollutants Impact
    • Air Quality and Health Impacts
    • Indoor Air Quality and Microbial Exposure
    • Effects and risks of endocrine disrupting chemicals
    • Carcinogens and Genotoxicity Assessment

Papers in

Yan S. Ding

25 papers receiving 995 citations

Peers

Yan S. Ding
Comparison fields: 5 of 114
  • Health, Toxicology and Mutagenesis 437
  • Cancer Research 220
  • Physiology 260
  • Chemical Health and Safety 4
  • Analytical Chemistry 49
Replace Kay A. Fischer with:
Kay A. Fischer United States
Sylviane Taché France
Nannan Feng China
Shanlei Qiao China
Xudong Jia China
Jinyao Chen China
Nicholas Olejnik United States
William J. Driskell United States
Veronika Ehrlich Austria
Elisa Polledri Italy
Yan S. Ding relative to Kay A. Fischer United States Kay A. Fischer's profile →
Citations per field
00.5×5.4×
Kay A. Fischer · 1×
Citations per year

Countries citing papers authored by Yan S. Ding

Since Specialization
Citations

This map shows the geographic impact of Yan S. 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 S. 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 S. Ding more than expected).

Fields of papers citing papers by Yan S. Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004170
2 2015154
3 2007101
4 200893
5 200681
6 200979
7 201676
8 200442
9 200431
10 199823
11 200823
12 201423
13 201522
14 201620
15 200215
16 201014
17 201712
18 201210
19 20139
20 20048

About Yan S. Ding

Yan S. Ding is a scholar working on Health, Toxicology and Mutagenesis, Physiology, Cancer Research, Pollution and Ecology, Evolution, Behavior and Systematics, having authored 25 papers that have together received 1.0k indexed citations. Recurring topics across this work include Smoking Behavior and Cessation (10 papers), Air Quality and Health Impacts (7 papers), Toxic Organic Pollutants Impact (6 papers), Carcinogens and Genotoxicity Assessment (6 papers), Vector-Borne Animal Diseases (3 papers), T-cell and Retrovirus Studies (3 papers), Pesticide Exposure and Toxicity (3 papers) and Animal Disease Management and Epidemiology (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (437 citations), Cancer Research (220 citations), Physiology (260 citations), Chemical Health and Safety (4 citations) and Analytical Chemistry (49 citations). Yan S. Ding has collaborated with scholars based in United States, Uganda and China. Frequent co-authors include Clifford H. Watson, David L. Ashley, Xizheng Yan, Matthew R. Holman, Kenneth M. Taylor, A. T. Vu, Liqin Zhang, Ram B. Jain, Michael G. Bartlett and Catherine A. White. Their work appears in journals such as Chemical Research in Toxicology, Journal of Chromatography B, Cancer Epidemiology Biomarkers & Prevention, Tobacco Control and Environmental Science & Technology.

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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