Fernando Colchero
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Ecological Modeling top 2%
- Species Distribution and Climate Change
Papers in
- Ecology 24
- Wildlife Ecology and Conservation 21
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- Animal Behavior and Reproduction 11
- Co-authors
- Dalia A. Conde (20 shared papers)Owen R. Jones (10 shared papers)James S. Clark (4 shared papers)Alexander Scheuerlein (5 shared papers)Nate Flesness (5 shared papers)Maren Rebke (2 shared papers)André M. Boustany (2 shared papers)Robert S. Schick (2 shared papers)
- Journals
- Journal of Animal Ecology (5 papers)Science (3 papers)Journal of Ecology (2 papers)PLoS ONE (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- DenmarkGermanyUnited States
In The Last Decade
Fernando Colchero
40 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 120
- Aging 146
- Ecological Modeling 217
- Ecology 967
- Small Animals 216
- Developmental Biology 61
Countries citing papers authored by Fernando Colchero
This map shows the geographic impact of Fernando Colchero'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 Fernando Colchero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Colchero more than expected).
Fields of papers citing papers by Fernando Colchero
This network shows the impact of papers produced by Fernando Colchero. 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 Fernando Colchero. The network helps show where Fernando Colchero may publish in the future.
Co-authors
The 25 scholars most cited alongside Fernando Colchero, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 305 | |
| 2 | 2011 | 251 | |
| 3 | 2020 | 164 | |
| 4 | 2021 | 122 | |
| 5 | 2010 | 122 | |
| 6 | 2016 | 110 | |
| 7 | 2012 | 101 | |
| 8 | 2013 | 98 | |
| 9 | 2010 | 90 | |
| 10 | 2013 | 77 | |
| 11 | 2011 | 68 | |
| 12 | 2020 | 60 | |
| 13 | 2022 | 41 | |
| 14 | 2009 | 33 | |
| 15 | 2014 | 33 | |
| 16 | 2016 | 29 | |
| 17 | 2021 | 26 | |
| 18 | 2015 | 22 | |
| 19 | 2020 | 22 | |
| 20 | 2019 | 21 |
About Fernando Colchero
Fernando Colchero is a scholar working on Ecology, Ecology, Evolution, Behavior and Systematics, Social Psychology, Ecological Modeling and Genetics, having authored 45 papers that have together received 1.9k indexed citations. Recurring topics across this work include Wildlife Ecology and Conservation (21 papers), Animal Behavior and Reproduction (11 papers), Species Distribution and Climate Change (8 papers), Primate Behavior and Ecology (7 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers), Genetic and phenotypic traits in livestock (4 papers), Ecology and Vegetation Dynamics Studies (4 papers) and Animal Behavior and Welfare Studies (4 papers). The work is most often cited by research in Aging (146 citations), Ecological Modeling (217 citations), Ecology (967 citations), Small Animals (216 citations) and Developmental Biology (61 citations). Fernando Colchero has collaborated with scholars based in Denmark, Germany and United States. Frequent co-authors include Dalia A. Conde, Owen R. Jones, James S. Clark, Alexander Scheuerlein, Nate Flesness, Maren Rebke, André M. Boustany, Robert S. Schick, Catherine McClellan and Lucas Joppa. Their work appears in journals such as Journal of Animal Ecology, Science, Journal of Ecology, PLoS ONE and Proceedings of the National Academy of Sciences.
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.