Michael G. Campana
- Equine top 5%
- Genetics top 5%
- Genetic diversity and population structure 26
- Genetic and phenotypic traits in livestock 15
- Genetic Mapping and Diversity in Plants and Animals 8
- Forensic and Genetic Research 7
- Paleontology top 5%
- Ecological Modeling top 10%
- Species Distribution and Climate Change 5
- Ecology top 10%
- Wildlife Ecology and Conservation 9
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- Genomics and Phylogenetic Studies 9
- Identification and Quantification in Food 5
- Co-authors
- Harriet V. HuntMim A. BowerHuw JonesNoreen TurossRobert C. FleischerJesús E. MaldonadoChristopher J. HoweMartin K. Jones
- Cited by
- EquineGeneticsPaleontology
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Michael G. Campana
57 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 117
- Equine 47
- Genetics 642
- Paleontology 121
- Ecological Modeling 51
- Ecology 266
Countries citing papers authored by Michael G. Campana
This map shows the geographic impact of Michael G. Campana'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 Michael G. Campana with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael G. Campana more than expected).
Fields of papers citing papers by Michael G. Campana
This network shows the impact of papers produced by Michael G. Campana. 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 Michael G. Campana. The network helps show where Michael G. Campana may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael G. Campana, 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 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 12 | |
| 8 | 2022 | 3 | |
| 9 | 2022 | 7 | |
| 10 | 2021 | 38 | |
| 11 | 2019 | 10 | |
| 12 | 2018 | 3 | |
| 13 | 2018 | 132 | |
| 14 | 2016 | 22 | |
| 15 | 2014 | 30 | |
| 16 | 2012 | 74 | |
| 17 | 2011 | 100 | |
| 18 | 2011 | 11 | |
| 19 | 2011 | 9 | |
| 20 | 2010 | 8 |
About Michael G. Campana
Michael G. Campana is a scholar working on Space and Planetary Science, Genetics and Ecological Modeling, having authored 60 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genetic diversity and population structure (26 papers), Genetic and phenotypic traits in livestock (15 papers), Genomics and Phylogenetic Studies (9 papers), Wildlife Ecology and Conservation (9 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers), Forensic and Genetic Research (7 papers), Identification and Quantification in Food (5 papers) and Species Distribution and Climate Change (5 papers). The work is most often cited by research in Equine (47 citations), Genetics (642 citations) and Paleontology (121 citations). Michael G. Campana has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Harriet V. Hunt, Mim A. Bower, Huw Jones, Noreen Tuross, Robert C. Fleischer, Jesús E. Maldonado, Christopher J. Howe, Martin K. Jones, Nelly M. Robles García and Jon White. Their work appears in journals such as Nature Communications, Bioinformatics and PLoS ONE.
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.