David Mayfield

836 citations
19 papers · 609 · h-index 13

Impact in

Papers in

    • Toxic Organic Pollutants Impact 4
    • Environmental Toxicology and Ecotoxicology 3
    • Mercury impact and mitigation studies 2
    • Air Quality and Health Impacts 2
    • Pesticide and Herbicide Environmental Studies 3

David Mayfield

18 papers receiving 561 citations

Peers

David Mayfield
Comparison fields: 5 of 115
  • Geochemistry and Petrology 240
  • Health, Toxicology and Mutagenesis 182
  • Pollution 132
  • Linguistics and Language 40
  • Building and Construction 59
Replace S. M. Nair with:
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Binbin Jiang China
Christoph Münz United States
John T. O’Connor United States
Andrew Nicholson United States
Yuxin Li China
Eva Lindgren Sweden
Niall Kirkwood United States
Xuemin Liu China
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David Mayfield relative to S. M. Nair India S. M. Nair's profile →
Citations per field
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S. M. Nair · 1×
Citations per year

Countries citing papers authored by David Mayfield

Since Specialization
Citations

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

Fields of papers citing papers by David Mayfield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2016190
2 201489
3 199162
4 201148
5 199242
6 201936
7 200526
8 202016
9 201616
10 201815
11 201215
12 201512
13 201312
14 201811
15 19938
16 20225
17 20074
18 20052
19 19880

About David Mayfield

David Mayfield is a scholar working on Health, Toxicology and Mutagenesis, Pollution, Sociology and Political Science, Cancer Research and Geochemistry and Petrology, having authored 19 papers that have together received 609 indexed citations. Recurring topics across this work include Toxic Organic Pollutants Impact (4 papers), Environmental Toxicology and Ecotoxicology (3 papers), Pesticide and Herbicide Environmental Studies (3 papers), Carcinogens and Genotoxicity Assessment (3 papers), Mercury impact and mitigation studies (2 papers), Geochemistry and Elemental Analysis (2 papers), Air Quality and Health Impacts (2 papers) and Ethics in Clinical Research (2 papers). The work is most often cited by research in Geochemistry and Petrology (240 citations), Health, Toxicology and Mutagenesis (182 citations), Pollution (132 citations), Linguistics and Language (40 citations) and Building and Construction (59 citations). David Mayfield has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Anne Fairbrother, Robert B. Finkelman, Ari S. Lewis, James C. Hower, Evan Granite, Susan Thorne, Lorenz R. Rhomberg, Julie E. Goodman, Ali Hamade and Lisa A. Bailey. Their work appears in journals such as Social History, Integrated Environmental Assessment and Management, Critical Reviews in Toxicology, Environmental Toxicology and Chemistry and Chemosphere.

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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