James R. Sanborn
- Health, Toxicology and Mutagenesis top 2%
- Biochemistry top 1%
- Plant Science top 10%
- Pollution top 5%
- Molecular Biology
- Co-authors
- Bruce D. HammockRobert L. MetcalfChristophe MorisseauMarvin H. GoodrowJiang ZhengDeanna L. DowdyJessica F. GreenePo‐Yung Lu
- Topics
- Insect and Pesticide Research (9 papers)Toxic Organic Pollutants Impact (9 papers)Environmental Toxicology and Ecotoxicology (9 papers)
- Journals
- Proceedings of the National Academy of SciencesEnvironmental Science & TechnologyAnalytical Chemistry
- Partner nations
- United StatesCzechiaUnited Kingdom
In The Last Decade
James R. Sanborn
51 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 115
- Health, Toxicology and Mutagenesis 460
- Biochemistry 353
- Plant Science 336
- Pollution 300
- Molecular Biology 249
Countries citing papers authored by James R. Sanborn
This map shows the geographic impact of James R. Sanborn'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 James R. Sanborn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James R. Sanborn more than expected).
Fields of papers citing papers by James R. Sanborn
This network shows the impact of papers produced by James R. Sanborn. 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 James R. Sanborn. The network helps show where James R. Sanborn may publish in the future.
Co-authorship network of co-authors of James R. Sanborn
This figure shows the co-authorship network connecting the top 25 collaborators of James R. Sanborn. A scholar is included among the top collaborators of James R. Sanborn 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 James R. Sanborn. James R. Sanborn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 42 | |
| 2 | 14 | |
| 3 | 19 | |
| 4 | 151 | |
| 5 | 3 | |
| 6 | 144 | |
| 7 | 19 | |
| 8 | 32 | |
| 9 | 5 | |
| 10 | 73 | |
| 11 | 30 | |
| 12 | 20 | |
| 13 | 43 | |
| 14 | 4 | |
| 15 | 14 | |
| 16 | 7 | |
| 17 | 6 | |
| 18 | 13 | |
| 19 | 2 | |
| 20 | 3 |
About James R. Sanborn
James R. Sanborn is a scholar working on Health, Toxicology and Mutagenesis, Pollution and Insect Science, having authored 51 papers that have together received 1.6k indexed citations. Recurring topics across this work include Insect and Pesticide Research (9 papers), Toxic Organic Pollutants Impact (9 papers) and Environmental Toxicology and Ecotoxicology (9 papers). The work is most often cited by research in Biochemistry (353 citations), Health, Toxicology and Mutagenesis (460 citations) and Pollution (300 citations). James R. Sanborn has collaborated with scholars based in United States, Czechia and United Kingdom. Frequent co-authors include Bruce D. Hammock, Robert L. Metcalf, Christophe Morisseau, Marvin H. Goodrow, Jiang Zheng, Deanna L. Dowdy, Jessica F. Greene, Po‐Yung Lu, Derek W. Gammon and Shirley J. Gee. Their work appears in journals such as Proceedings of the National Academy of Sciences, Environmental Science & Technology and Analytical Chemistry.
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.