Matthew Combs

671 total citations
21 papers, 316 citations indexed

About

Matthew Combs is a scholar working on Ecology, Genetics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Matthew Combs has authored 21 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Ecology, 10 papers in Genetics and 6 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Matthew Combs's work include Animal Ecology and Behavior Studies (5 papers), Wildlife Ecology and Conservation (5 papers) and Yersinia bacterium, plague, ectoparasites research (5 papers). Matthew Combs is often cited by papers focused on Animal Ecology and Behavior Studies (5 papers), Wildlife Ecology and Conservation (5 papers) and Yersinia bacterium, plague, ectoparasites research (5 papers). Matthew Combs collaborates with scholars based in United States, Canada and Australia. Matthew Combs's co-authors include Jason Munshi‐South, Jonathan Richardson, Emily E. Puckett, Kaylee A. Byers, Chelsea G. Himsworth, Maria A. Diuk‐Wasser, Danielle M. Tufts, Federico Costa, Bruno M. Ghersi and Meredith C. VanAcker and has published in prestigious journals such as Circulation Research, Scientific Reports and Global Change Biology.

In The Last Decade

Matthew Combs

18 papers receiving 313 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Matthew Combs United States 11 128 126 75 68 59 21 316
Bryan E. LaFonte United States 8 112 0.9× 218 1.7× 43 0.6× 70 1.0× 77 1.3× 8 335
Roohollah Siahsarvie Iran 9 172 1.3× 143 1.1× 49 0.7× 47 0.7× 51 0.9× 29 336
Ruth Rodríguez‐Pastor Spain 9 87 0.7× 156 1.2× 49 0.7× 53 0.8× 57 1.0× 19 274
Peter Stuart Ireland 14 58 0.5× 199 1.6× 77 1.0× 49 0.7× 112 1.9× 26 391
Seth J. Eiseb Namibia 12 114 0.9× 265 2.1× 44 0.6× 68 1.0× 34 0.6× 30 377
Adrian A. Castellanos United States 7 61 0.5× 80 0.6× 64 0.9× 55 0.8× 35 0.6× 20 275
Magdalena Bartoszewicz Poland 8 136 1.1× 305 2.4× 55 0.7× 28 0.4× 75 1.3× 14 426
Themb’alilahlwa A. M. Mahlaba Eswatini 10 105 0.8× 239 1.9× 43 0.6× 58 0.9× 30 0.5× 22 344
Milan Paunović Serbia 11 83 0.6× 143 1.1× 48 0.6× 27 0.4× 34 0.6× 28 274
Raúl E. González‐Ittig Argentina 12 86 0.7× 119 0.9× 104 1.4× 104 1.5× 18 0.3× 40 361

Countries citing papers authored by Matthew Combs

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Matthew Combs

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Combs. A scholar is included among the top collaborators of Matthew Combs 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 Matthew Combs. Matthew Combs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Bai, Xue, et al.. (2024). GRAF1 deficiency leads to defective brown adipose tissue differentiation and thermogenic response. Scientific Reports. 14(1). 28692–28692.
2.
Combs, Matthew, Danielle M. Tufts, Ben Adams, et al.. (2023). Host adaptation drives genetic diversity in a vector-borne disease system. PNAS Nexus. 2(8). pgad234–pgad234. 10 indexed citations
3.
Miranda, L. E., et al.. (2023). Patterns of zero and nonzero counts indicate spatiotemporal distributions, aggregation, and dispersion of invasive carp. Management of Biological Invasions. 14(2). 363–377.
4.
Combs, Matthew, Andrew J. Golnar, Alun L. Lloyd, et al.. (2023). Leveraging eco-evolutionary models for gene drive risk assessment. Trends in Genetics. 39(8). 609–623. 4 indexed citations
5.
Combs, Matthew, Alan P. Dupuis, April Davis, et al.. (2022). Phylogenomic Diversity Elucidates Mechanistic Insights into Lyme Borreliae-Host Association. mSystems. 7(4). e0048822–e0048822. 8 indexed citations
6.
Blue, R. Eric, Yi‐Hsuan Tsai, Matthew Combs, et al.. (2022). Stretching muscle cells induces transcriptional and splicing transitions and changes in SR proteins. Communications Biology. 5(1). 987–987. 8 indexed citations
7.
Combs, Matthew, et al.. (2021). Socio‐ecological drivers of multiple zoonotic hazards in highly urbanized cities. Global Change Biology. 28(5). 1705–1724. 39 indexed citations
8.
Harpak, Arbel, Nandita R. Garud, Noah A. Rosenberg, et al.. (2020). Genetic Adaptation in New York City Rats. Genome Biology and Evolution. 13(1). 15 indexed citations
9.
Puckett, Emily E., Emma Sherratt, Matthew Combs, et al.. (2020). Variation in brown rat cranial shape shows directional selection over 120 years in New York City. Ecology and Evolution. 10(11). 4739–4748. 18 indexed citations
10.
Richardson, Jonathan, Sozos Michaelides, Matthew Combs, et al.. (2020). Dispersal ability predicts spatial genetic structure in native mammals persisting across an urbanization gradient. Evolutionary Applications. 14(1). 163–177. 25 indexed citations
11.
Byers, Kaylee A., Tom R. Booker, Matthew Combs, et al.. (2020). Using genetic relatedness to understand heterogeneous distributions of urban rat‐associated pathogens. Evolutionary Applications. 14(1). 198–209. 14 indexed citations
12.
Cheng, Zhaokang, Matthew Combs, Peng Xia, et al.. (2019). Genome-Wide RNAi Screen Identifies Regulators of Cardiomyocyte Necrosis. ACS Pharmacology & Translational Science. 2(5). 361–371. 2 indexed citations
13.
Combs, Matthew, et al.. (2019). Abstract 438: GRAF1 is a Novel Mediator of Parkin-dependent Mitophagy. Circulation Research. 125(Suppl_1). 1 indexed citations
14.
Combs, Matthew, Kaylee A. Byers, Chelsea G. Himsworth, & Jason Munshi‐South. (2019). Harnessing Population Genetics for Pest Management: Theory and Application for Urban Rats. Human-wildlife interactions. 13(2). 11. 8 indexed citations
15.
Combs, Matthew, Jason Munshi‐South, Kaylee A. Byers, & Chelsea G. Himsworth. (2018). Harnessing Population Genetics for Pest Management: Theory and Application for Urban Rats (Abstract). Proceedings - Vertebrate Pest Conference. 28. 2 indexed citations
16.
Combs, Matthew, Kaylee A. Byers, Bruno M. Ghersi, et al.. (2018). Urban rat races: spatial population genomics of brown rats ( Rattus norvegicus ) compared across multiple cities. Proceedings of the Royal Society B Biological Sciences. 285(1880). 20180245–20180245. 44 indexed citations
17.
18.
Combs, Matthew, et al.. (2017). Spatial population genomics of the brown rat (Rattus norvegicus) in New York City. Molecular Ecology. 27(1). 83–98. 65 indexed citations
19.
Combs, Matthew, Cadhla Firth, Matthew Frye, et al.. (2017). Spatial variation in the parasite communities and genomic structure of urban rats in New York City. Zoonoses and Public Health. 65(1). e113–e123. 13 indexed citations
20.
Puckett, Emily E., Matthew Combs, Michael J. Blum, et al.. (2016). Data from: Global population divergence and admixture of the brown rat (Rattus norvegicus). Socio-Environmental Systems Modeling.

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.

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