Matthew A. Combs
Impact in
- Parasitology top 10%
- Vector-borne infectious diseases
- Ecology top 10%
- Animal Ecology and Behavior Studies
- Wildlife Ecology and Conservation
Papers in
- Co-authors
- Jason Munshi‐South (10 shared papers)Jonathan Richardson (4 shared papers)Emily E. Puckett (2 shared papers)Kaylee A. Byers (4 shared papers)Chelsea G. Himsworth (4 shared papers)Maria A. Diuk‐Wasser (4 shared papers)Danielle M. Tufts (3 shared papers)Nichar Gregory (1 shared paper)
- Journals
- Proceedings of the Royal Society B Biological Sciences (3 papers)Evolutionary Applications (3 papers)Ecology and Evolution (2 papers)Heredity (1 paper)Trends in Genetics (1 paper)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Matthew A. Combs
21 papers receiving 467 citations
Peers
Comparison fields: 5 of 63
- Parasitology 79
- Ecology 199
- Genetics 199
- Ecological Modeling 28
- Infectious Diseases 86
Countries citing papers authored by Matthew A. Combs
This map shows the geographic impact of Matthew A. 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 A. 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 A. Combs more than expected).
Fields of papers citing papers by Matthew A. Combs
This network shows the impact of papers produced by Matthew A. 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 A. Combs. The network helps show where Matthew A. Combs may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew A. 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 112 | |
| 2 | 2017 | 70 | |
| 3 | 2018 | 49 | |
| 4 | 2021 | 46 | |
| 5 | 2020 | 30 | |
| 6 | 2017 | 29 | |
| 7 | 2020 | 19 | |
| 8 | 2020 | 17 | |
| 9 | 2020 | 17 | |
| 10 | 2017 | 14 | |
| 11 | 2023 | 14 | |
| 12 | 2022 | 13 | |
| 13 | 2022 | 10 | |
| 14 | 2023 | 10 | |
| 15 | 2019 | 9 | |
| 16 | 2022 | 8 | |
| 17 | 2025 | 2 | |
| 18 | 2019 | 2 | |
| 19 | 2018 | 2 | |
| 20 | 2024 | 1 |
About Matthew A. Combs
Matthew A. Combs is a scholar working on Ecology, Genetics, Parasitology, Public Health, Environmental and Occupational Health and Infectious Diseases, having authored 23 papers that have together received 475 indexed citations. Recurring topics across this work include Zoonotic diseases and public health (6 papers), Animal Ecology and Behavior Studies (6 papers), Wildlife Ecology and Conservation (5 papers), Genetic diversity and population structure (5 papers), Yersinia bacterium, plague, ectoparasites research (5 papers), Viral Infections and Vectors (4 papers), Vector-borne infectious diseases (3 papers) and Genetic Mapping and Diversity in Plants and Animals (2 papers). The work is most often cited by research in Parasitology (79 citations), Ecology (199 citations), Genetics (199 citations), Ecological Modeling (28 citations) and Infectious Diseases (86 citations). Matthew A. Combs has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Jason Munshi‐South, Jonathan Richardson, Emily E. Puckett, Kaylee A. Byers, Chelsea G. Himsworth, Maria A. Diuk‐Wasser, Danielle M. Tufts, Nichar Gregory, María del Pilar Fernández and Meredith C. VanAcker. Their work appears in journals such as Proceedings of the Royal Society B Biological Sciences, Evolutionary Applications, Ecology and Evolution, Heredity 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.