Robert Tompkins
Impact in
- Physiology top 10%
- Reproductive biology and impacts on aquatic species
Papers in
-
- Neurobiology and Insect Physiology Research 3
- Neuroscience and Neural Engineering 2
- Co-authors
- E. Peter Volpe (5 shared papers)Charles F. Ide (6 shared papers)Danuta M. Krotoski (2 shared papers)R. Kevin Hunt (2 shared papers)Donald S. Sakaguchi (1 shared paper)R. K. Murphey (1 shared paper)Ben G. Szaro (3 shared papers)Mary F. Lipscomb (1 shared paper)
- Journals
- Journal of Experimental Zoology (10 papers)The Journal of Comparative Neurology (3 papers)Developmental Biology (2 papers)Differentiation (1 paper)Journal of Heredity (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
Robert Tompkins
30 papers receiving 563 citations
Peers
Comparison fields: 5 of 82
- Physiology 50
- Developmental Neuroscience 34
- Cell Biology 112
- Cellular and Molecular Neuroscience 118
- Aging 10
Countries citing papers authored by Robert Tompkins
This map shows the geographic impact of Robert Tompkins'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 Robert Tompkins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Tompkins more than expected).
Fields of papers citing papers by Robert Tompkins
This network shows the impact of papers produced by Robert Tompkins. 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 Robert Tompkins. The network helps show where Robert Tompkins may publish in the future.
Co-authors
The 24 scholars most cited alongside Robert Tompkins, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Role of natural killer cells in resistance to Cryptococcus neoformans infections in mice. | 1987 | 61 |
| 2 | 1979 | 53 | |
| 3 | 1978 | 53 | |
| 4 | 1984 | 50 | |
| 5 | 1985 | 44 | |
| 6 | 1978 | 42 | |
| 7 | 1977 | 35 | |
| 8 | 1987 | 31 | |
| 9 | 1979 | 22 | |
| 10 | 1984 | 22 | |
| 11 | 1976 | 19 | |
| 12 | 1985 | 17 | |
| 13 | 1977 | 15 | |
| 14 | 1985 | 13 | |
| 15 | 1991 | 12 | |
| 16 | 1982 | 12 | |
| 17 | 1984 | 12 | |
| 18 | 1970 | 10 | |
| 19 | 1995 | 9 | |
| 20 | 1982 | 8 |
About Robert Tompkins
Robert Tompkins is a scholar working on Cellular and Molecular Neuroscience, Cell Biology, Ecology, Molecular Biology and Physiology, having authored 30 papers that have together received 590 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (3 papers), Retinal Development and Disorders (3 papers), Physiological and biochemical adaptations (3 papers), Chromosomal and Genetic Variations (3 papers), Neuroscience and Neural Engineering (2 papers), Evolution and Genetic Dynamics (2 papers), Developmental Biology and Gene Regulation (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Physiology (50 citations), Developmental Neuroscience (34 citations), Cell Biology (112 citations), Cellular and Molecular Neuroscience (118 citations) and Aging (10 citations). Robert Tompkins has collaborated with scholars based in United States and France. Frequent co-authors include E. Peter Volpe, Charles F. Ide, Danuta M. Krotoski, R. Kevin Hunt, Donald S. Sakaguchi, R. K. Murphey, Ben G. Szaro, Mary F. Lipscomb, G C Koo and Galen B. Toews. Their work appears in journals such as Journal of Experimental Zoology, The Journal of Comparative Neurology, Developmental Biology, Differentiation and Journal of Heredity.
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.