Yan S. Ding

1.2k citations
26 papers · 998 · h-index 15

Impact in

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

Papers in

Yan S. Ding

26 papers receiving 962 citations

Peers

Yan S. Ding
Comparison fields: 5 of 119
  • Health, Toxicology and Mutagenesis 475
  • Cancer Research 228
  • Physiology 251
  • Chemical Health and Safety 5
  • Pollution 60
Replace Christoph Hutzler with:
Christoph Hutzler Germany
Qingyuan Hu China
Charles L. Gaworski United States
J. J. Strain United Kingdom
Lutz Müller Germany
Kay A. Fischer United States
Yuebin Ke China
Rosa Mercadante Italy
Ilse Van Overmeire Belgium
Nannan Feng China
Yan S. Ding relative to Christoph Hutzler Germany Christoph Hutzler's profile →
Citations per field
00.5×1.6×
Christoph Hutzler · 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 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004161
2 2015145
3 200796
4 200890
5 200679
6 200975
7 201673
8 200442
9 200431
10 200822
11 201422
12 199822
13 201620
14 201520
15 200215
16 201014
17 201711
18 201210
19 20139
20 20188

About Yan S. Ding

Yan S. Ding is a scholar working on Health, Toxicology and Mutagenesis, Physiology, Cancer Research, Immunology and Plant Science, having authored 26 papers that have together received 998 indexed citations. Recurring topics across this work include Smoking Behavior and Cessation (10 papers), Air Quality and Health Impacts (10 papers), Toxic Organic Pollutants Impact (6 papers), Carcinogens and Genotoxicity Assessment (6 papers), Indoor Air Quality and Microbial Exposure (4 papers), Pesticide Exposure and Toxicity (3 papers), Vector-Borne Animal Diseases (3 papers) and Animal Disease Management and Epidemiology (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (475 citations), Cancer Research (228 citations), Physiology (251 citations), Chemical Health and Safety (5 citations) and Pollution (60 citations). Yan S. Ding has collaborated with scholars based in United States, China and South Korea. 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 Journal of Chromatography B, Chemical Research in Toxicology, Tobacco Control, Environmental Science & Technology and Cancer Epidemiology Biomarkers & Prevention.

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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