W. Reuben Kaufman
- Parasitology top 0.2%
- Insect Science top 0.5%
- Cellular and Molecular Neuroscience top 5%
- Ecology, Evolution, Behavior and Systematics top 2%
- Infectious Diseases top 5%
- Co-authors
- J. E. PhillipsKevin J. FriesenRobert A. HarrisBrian L. WeissLee LomasAdriana PatríciaLinda D. JonesJ. Meredith
- Topics
- Vector-borne infectious diseases (70 papers)Insect and Pesticide Research (56 papers)Insect and Arachnid Ecology and Behavior (24 papers)
- Journals
- Proceedings of the National Academy of SciencesCellular and Molecular Life SciencesJournal of Experimental Biology
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
W. Reuben Kaufman
86 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 79
- Parasitology 1.5k
- Insect Science 1.2k
- Cellular and Molecular Neuroscience 512
- Ecology, Evolution, Behavior and Systematics 509
- Infectious Diseases 503
Countries citing papers authored by W. Reuben Kaufman
This map shows the geographic impact of W. Reuben Kaufman'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 W. Reuben Kaufman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. Reuben Kaufman more than expected).
Fields of papers citing papers by W. Reuben Kaufman
This network shows the impact of papers produced by W. Reuben Kaufman. 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 W. Reuben Kaufman. The network helps show where W. Reuben Kaufman may publish in the future.
Co-authorship network of co-authors of W. Reuben Kaufman
This figure shows the co-authorship network connecting the top 25 collaborators of W. Reuben Kaufman. A scholar is included among the top collaborators of W. Reuben Kaufman 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 W. Reuben Kaufman. W. Reuben Kaufman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 5 | |
| 3 | 5 | |
| 4 | 16 | |
| 5 | 20 | |
| 6 | 27 | |
| 7 | 33 | |
| 8 | 62 | |
| 9 | 19 | |
| 10 | 34 | |
| 11 | 49 | |
| 12 | 17 | |
| 13 | 20 | |
| 14 | 20 | |
| 15 | 95 | |
| 16 | 1 | |
| 17 | 26 | |
| 18 | 3 | |
| 19 | 132 | |
| 20 | 33 |
About W. Reuben Kaufman
W. Reuben Kaufman is a scholar working on Parasitology, Insect Science and Cellular and Molecular Neuroscience, having authored 87 papers that have together received 2.2k indexed citations. Recurring topics across this work include Vector-borne infectious diseases (70 papers), Insect and Pesticide Research (56 papers) and Insect and Arachnid Ecology and Behavior (24 papers). The work is most often cited by research in Parasitology (1.5k citations), Insect Science (1.2k citations) and Cellular and Molecular Neuroscience (512 citations). W. Reuben Kaufman has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include J. E. Phillips, Kevin J. Friesen, Robert A. Harris, Brian L. Weiss, Lee Lomas, Adriana Patrícia, Linda D. Jones, J. Meredith, Milan Labuda and Peter C. Flynn. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cellular and Molecular Life Sciences and Journal of Experimental Biology.
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.