Tom Beneke
Impact in
- Epidemiology top 5%
- Trypanosoma species research and implications
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- Research on Leishmaniasis Studies
- Mosquito-borne diseases and control
Papers in
- Epidemiology 16
- Trypanosoma species research and implications 15
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- CRISPR and Genetic Engineering 8
- Co-authors
- Eva Gluenz (15 shared papers)Jessica Valli (3 shared papers)Jack Daniel Sunter (2 shared papers)Laura Makin (1 shared paper)Ross Madden (1 shared paper)Richard John Wheeler (5 shared papers)Malte Buchholz (1 shared paper)Gérald F. Späth (1 shared paper)
- Journals
- Frontiers in Cellular and Infection Microbiology (2 papers)eLife (2 papers)Journal of Cell Science (2 papers)Nature Communications (1 paper)Molecular Biology of the Cell (1 paper)
- Partner nations
- United KingdomGermanySwitzerland
In The Last Decade
Tom Beneke
19 papers receiving 594 citations
Peers
Comparison fields: 5 of 52
- Epidemiology 411
- Public Health, Environmental and Occupational Health 338
- Parasitology 77
- Insect Science 110
- Business and International Management 12
Countries citing papers authored by Tom Beneke
This map shows the geographic impact of Tom Beneke'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 Tom Beneke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Beneke more than expected).
Fields of papers citing papers by Tom Beneke
This network shows the impact of papers produced by Tom Beneke. 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 Tom Beneke. The network helps show where Tom Beneke may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Beneke, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 250 | |
| 2 | 2019 | 91 | |
| 3 | 2018 | 65 | |
| 4 | 2019 | 43 | |
| 5 | 2017 | 34 | |
| 6 | 1977 | 29 | |
| 7 | 2020 | 17 | |
| 8 | 2023 | 12 | |
| 9 | 2021 | 11 | |
| 10 | 2019 | 10 | |
| 11 | 2022 | 8 | |
| 12 | 2025 | 7 | |
| 13 | 2020 | 7 | |
| 14 | 2023 | 6 | |
| 15 | 2020 | 4 | |
| 16 | 2025 | 4 | |
| 17 | 2024 | 3 | |
| 18 | 2020 | 2 | |
| 19 | 2025 | 1 | |
| 20 | 2025 | 0 |
About Tom Beneke
Tom Beneke is a scholar working on Epidemiology, Molecular Biology, Public Health, Environmental and Occupational Health, Cell Biology and Genetics, having authored 20 papers that have together received 604 indexed citations. Recurring topics across this work include Trypanosoma species research and implications (15 papers), Research on Leishmaniasis Studies (9 papers), CRISPR and Genetic Engineering (8 papers), Microtubule and mitosis dynamics (3 papers), Insect symbiosis and bacterial influences (3 papers), Genetic and Kidney Cyst Diseases (2 papers), Lysosomal Storage Disorders Research (2 papers) and Micro and Nano Robotics (2 papers). The work is most often cited by research in Epidemiology (411 citations), Public Health, Environmental and Occupational Health (338 citations), Parasitology (77 citations), Insect Science (110 citations) and Business and International Management (12 citations). Tom Beneke has collaborated with scholars based in United Kingdom, Germany and Switzerland. Frequent co-authors include Eva Gluenz, Jessica Valli, Jack Daniel Sunter, Laura Makin, Ross Madden, Richard John Wheeler, Malte Buchholz, Gérald F. Späth, K.‐O. Habermehl and Najma Rachidi. Their work appears in journals such as Frontiers in Cellular and Infection Microbiology, eLife, Journal of Cell Science, Nature Communications and Molecular Biology of the Cell.
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.