Matthew Combs
Impact in
- Parasitology top 10%
- Vector-borne infectious diseases
Papers in
- Co-authors
- Jason Munshi‐South (10 shared papers)Jonathan Richardson (4 shared papers)Emily E. Puckett (3 shared papers)Chelsea G. Himsworth (4 shared papers)Kaylee A. Byers (4 shared papers)Maria A. Diuk‐Wasser (4 shared papers)Danielle M. Tufts (3 shared papers)Meredith C. VanAcker (1 shared paper)
- Journals
- Evolutionary Applications (2 papers)Proceedings of the Royal Society B Biological Sciences (2 papers)ACS Pharmacology & Translational Science (1 paper)mSystems (1 paper)Trends in Genetics (1 paper)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Matthew Combs
19 papers receiving 335 citations
Peers
Comparison fields: 5 of 65
- Parasitology 61
- Ecological Modeling 23
- Ecology 130
- Genetics 133
- Infectious Diseases 71
Countries citing papers authored by Matthew Combs
This map shows the geographic impact of Matthew Combs'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 Matthew Combs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Combs more than expected).
Fields of papers citing papers by Matthew Combs
This network shows the impact of papers produced by Matthew Combs. 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 Matthew Combs. The network helps show where Matthew Combs may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Combs, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 68 | |
| 2 | 2018 | 46 | |
| 3 | 2021 | 44 | |
| 4 | 2020 | 29 | |
| 5 | 2017 | 28 | |
| 6 | 2020 | 18 | |
| 7 | 2020 | 16 | |
| 8 | 2020 | 15 | |
| 9 | 2017 | 14 | |
| 10 | 2022 | 13 | |
| 11 | 2023 | 12 | |
| 12 | 2022 | 9 | |
| 13 | 2022 | 8 | |
| 14 | 2019 | 8 | |
| 15 | 2023 | 7 | |
| 16 | 2019 | 2 | |
| 17 | 2018 | 2 | |
| 18 | 2024 | 1 | |
| 19 | 2019 | 1 | |
| 20 | 2023 | 0 |
About Matthew Combs
Matthew Combs is a scholar working on Ecology, Genetics, Public Health, Environmental and Occupational Health, Molecular Biology and Parasitology, having authored 22 papers that have together received 341 indexed citations. Recurring topics across this work include Zoonotic diseases and public health (5 papers), Wildlife Ecology and Conservation (5 papers), Animal Ecology and Behavior Studies (5 papers), Yersinia bacterium, plague, ectoparasites research (5 papers), Genetic diversity and population structure (5 papers), Vector-borne infectious diseases (3 papers), Viral Infections and Vectors (3 papers) and Genetic Mapping and Diversity in Plants and Animals (2 papers). The work is most often cited by research in Parasitology (61 citations), Ecological Modeling (23 citations), Ecology (130 citations), Genetics (133 citations) and Infectious Diseases (71 citations). Matthew Combs has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Jason Munshi‐South, Jonathan Richardson, Emily E. Puckett, Chelsea G. Himsworth, Kaylee A. Byers, Maria A. Diuk‐Wasser, Danielle M. Tufts, Meredith C. VanAcker, María del Pilar Fernández and T. Jonathan Davies. Their work appears in journals such as Evolutionary Applications, Proceedings of the Royal Society B Biological Sciences, ACS Pharmacology & Translational Science, mSystems and Trends in Genetics.
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.