Jeffrey M. DaCosta
- Genetics top 5%
- Genetic diversity and population structure 18
- Genetic and phenotypic traits in livestock 4
- Ecological Modeling top 10%
- Species Distribution and Climate Change 3
- Developmental Biology top 10%
- Paleontology top 10%
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- Genomics and Phylogenetic Studies 7
- Identification and Quantification in Food 4
- Plant and Fungal Species Descriptions 2
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- Wildlife Ecology and Conservation 5
- Avian ecology and behavior 4
- Co-authors
- Michael D. SorensonJohn KlickaPhilip LavretskyJeffrey L. PetersJoseph MuenzerJosé L. Garcı́aCaroline M. WeismanBrian Arnold
- Journals
- Molecular Ecology (6 papers)Proceedings of the National Academy of Sciences (3 papers)Molecular Phylogenetics and Evolution (2 papers)
- Partner nations
- United StatesUnited KingdomSouth Africa
In The Last Decade
Jeffrey M. DaCosta
26 papers receiving 899 citations
Peers
Comparison fields: 5 of 68
- Genetics 497
- Ecological Modeling 66
- Ecology, Evolution, Behavior and Systematics 214
- Developmental Biology 20
- Paleontology 62
Countries citing papers authored by Jeffrey M. DaCosta
This map shows the geographic impact of Jeffrey M. DaCosta'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 Jeffrey M. DaCosta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey M. DaCosta more than expected).
Fields of papers citing papers by Jeffrey M. DaCosta
This network shows the impact of papers produced by Jeffrey M. DaCosta. 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 Jeffrey M. DaCosta. The network helps show where Jeffrey M. DaCosta may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jeffrey M. DaCosta, 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 | 2025 | 3 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 2 | |
| 4 | 2022 | 6 | |
| 5 | 2022 | 12 | |
| 6 | 2020 | 40 | |
| 7 | 2020 | 4 | |
| 8 | 2019 | 5 | |
| 9 | 2019 | 2 | |
| 10 | 2016 | 125 | |
| 11 | 2016 | 36 | |
| 12 | 2015 | 56 | |
| 13 | 2014 | 139 | |
| 14 | 2011 | 5 | |
| 15 | 2009 | 43 | |
| 16 | 2008 | 57 | |
| 17 | 2008 | 9 | |
| 18 | 2007 | 7 | |
| 19 | 2007 | 44 | |
| 20 | 2002 | 116 |
About Jeffrey M. DaCosta
Jeffrey M. DaCosta is a scholar working on Genetics, Ecological Modeling, Developmental Biology, Ecology and Ecology, Evolution, Behavior and Systematics, having authored 27 papers that have together received 922 indexed citations. Recurring topics across this work include Genetic diversity and population structure (18 papers), Genomics and Phylogenetic Studies (7 papers), Wildlife Ecology and Conservation (5 papers), Avian ecology and behavior (4 papers), Genetic and phenotypic traits in livestock (4 papers), Identification and Quantification in Food (4 papers), Species Distribution and Climate Change (3 papers) and Plant and Fungal Species Descriptions (2 papers). The work is most often cited by research in Genetics (497 citations), Ecological Modeling (66 citations), Ecology, Evolution, Behavior and Systematics (214 citations), Developmental Biology (20 citations) and Paleontology (62 citations). Jeffrey M. DaCosta has collaborated with scholars based in United States, United Kingdom and South Africa. Frequent co-authors include Michael D. Sorenson, John Klicka, Philip Lavretsky, Jeffrey L. Peters, Joseph Muenzer, José L. Garcı́a, Caroline M. Weisman, Brian Arnold, David E. Salt and Kirsten Bomblies. Their work appears in journals such as Molecular Ecology, Proceedings of the National Academy of Sciences, Molecular Phylogenetics and Evolution, Scientific Reports and Conservation 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.