David W. Gaylor
- Health, Toxicology and Mutagenesis top 0.5%
- Cancer Research top 1%
- Cognitive Neuroscience top 2%
- Molecular Biology top 10%
- Genetics top 2%
- Co-authors
- Stepan MelnykS. Jill JamesStefanie JerniganRalph L. KodellPaul CutlerJames J. ChenOleksandra PavlivWilliam Slikker
- Topics
- Carcinogens and Genotoxicity Assessment (69 papers)Effects and risks of endocrine disrupting chemicals (35 papers)Toxic Organic Pollutants Impact (19 papers)
- Journals
- ScienceSHILAP Revista de lepidopterologíaJournal of the American Statistical Association
- Partner nations
- United StatesGermanyCanada
In The Last Decade
David W. Gaylor
173 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 187
- Health, Toxicology and Mutagenesis 1.6k
- Cancer Research 1.2k
- Cognitive Neuroscience 1.2k
- Molecular Biology 1.0k
- Genetics 1.0k
Countries citing papers authored by David W. Gaylor
This map shows the geographic impact of David W. Gaylor'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 W. Gaylor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David W. Gaylor more than expected).
Fields of papers citing papers by David W. Gaylor
This network shows the impact of papers produced by David W. Gaylor. 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 W. Gaylor. The network helps show where David W. Gaylor may publish in the future.
Co-authorship network of co-authors of David W. Gaylor
This figure shows the co-authorship network connecting the top 25 collaborators of David W. Gaylor. A scholar is included among the top collaborators of David W. Gaylor based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David W. Gaylor. David W. Gaylor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 191 | |
| 2 | 62 | |
| 3 | 118 | |
| 4 | 176 | |
| 5 | 20 | |
| 6 | 6 | |
| 7 | 12 | |
| 8 | 55 | |
| 9 | 11 | |
| 10 | 4 | |
| 11 | Strategy for Cost-Effective Reduction of the Sum of Health Risk Estimates for Exposures to Mixtures of Toxic Substances | 1 |
| 12 | 12 | |
| 13 | 11 | |
| 14 | 13 | |
| 15 | 13 | |
| 16 | BIOLOGICALLY-BASED DOSE-RESPONSE MODEL FOR NEUROTOXICITY RISK ASSESSMENT | 8 |
| 17 | 19 | |
| 18 | 1 | |
| 19 | 4 | |
| 20 | Accuracy of birth certificate data for detecting facial cleft defects in Arkansas children. | 14 |
About David W. Gaylor
David W. Gaylor is a scholar working on Chemical Health and Safety, Cancer Research and Health, Toxicology and Mutagenesis, having authored 173 papers that have together received 6.2k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (69 papers), Effects and risks of endocrine disrupting chemicals (35 papers) and Toxic Organic Pollutants Impact (19 papers). The work is most often cited by research in Chemical Health and Safety (134 citations), Health, Toxicology and Mutagenesis (1.6k citations) and Cancer Research (1.2k citations). David W. Gaylor has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Stepan Melnyk, S. Jill James, Stefanie Jernigan, Ralph L. Kodell, Paul Cutler, James J. Chen, Oleksandra Pavliv, William Slikker, Shannon Rose and Carole A. Kimmel. Their work appears in journals such as Science, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.
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.