Fernando Sequeira
Impact in
- Ecological Modeling top 1%
- Species Distribution and Climate Change
- Global and Planetary Change top 5%
- Amphibian and Reptile Biology
Papers in
-
- Amphibian and Reptile Biology 37
- Genetics 37
- Genetic diversity and population structure 33
- Co-authors
- Marcelo Vallinoto (15 shared papers)Nuno Ferrand (17 shared papers)Michael Kearney (1 shared paper)Reid Tingley (1 shared paper)João Alexandrino (11 shared papers)Célio F. B. Haddad (6 shared papers)Tuliana O. Brunes (7 shared papers)Helena Gonçalves (10 shared papers)
In The Last Decade
Fernando Sequeira
50 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 80
- Ecological Modeling 456
- Global and Planetary Change 559
- Genetics 660
- Nature and Landscape Conservation 254
- Ecology, Evolution, Behavior and Systematics 330
Countries citing papers authored by Fernando Sequeira
This map shows the geographic impact of Fernando Sequeira'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 Sequeira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Sequeira more than expected).
Fields of papers citing papers by Fernando Sequeira
This network shows the impact of papers produced by Fernando Sequeira. 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 Sequeira. The network helps show where Fernando Sequeira may publish in the future.
Co-authors
The 25 scholars most cited alongside Fernando Sequeira, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 256 | |
| 2 | 2009 | 93 | |
| 3 | 2010 | 71 | |
| 4 | 2009 | 68 | |
| 5 | 2011 | 54 | |
| 6 | 2004 | 53 | |
| 7 | 2016 | 53 | |
| 8 | 2018 | 51 | |
| 9 | 2013 | 45 | |
| 10 | 2013 | 41 | |
| 11 | 2015 | 32 | |
| 12 | 2009 | 32 | |
| 13 | 2018 | 28 | |
| 14 | 2006 | 28 | |
| 15 | 2004 | 24 | |
| 16 | 2008 | 23 | |
| 17 | 2015 | 22 | |
| 18 | 2014 | 22 | |
| 19 | 2020 | 20 | |
| 20 | 2019 | 19 |
About Fernando Sequeira
Fernando Sequeira is a scholar working on Global and Planetary Change, Genetics, Molecular Biology, Nature and Landscape Conservation and Ecology, having authored 54 papers that have together received 1.3k indexed citations. Recurring topics across this work include Amphibian and Reptile Biology (37 papers), Genetic diversity and population structure (33 papers), Genomics and Phylogenetic Studies (14 papers), Species Distribution and Climate Change (11 papers), Wildlife Ecology and Conservation (10 papers), Fish biology, ecology, and behavior (9 papers), Evolution and Paleontology Studies (5 papers) and Aquaculture disease management and microbiota (3 papers). The work is most often cited by research in Ecological Modeling (456 citations), Global and Planetary Change (559 citations), Genetics (660 citations), Nature and Landscape Conservation (254 citations) and Ecology, Evolution, Behavior and Systematics (330 citations). Fernando Sequeira has collaborated with scholars based in Portugal, Brazil and Spain. Frequent co-authors include Marcelo Vallinoto, Nuno Ferrand, Michael Kearney, Reid Tingley, João Alexandrino, Célio F. B. Haddad, Tuliana O. Brunes, Helena Gonçalves, Íñigo Martínez‐Solano and Iracilda Sampaio. Their work appears in journals such as Molecular Phylogenetics and Evolution, Journal of Biogeography, Amphibia-Reptilia, Zoologica Scripta and Molecular Ecology Resources.
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.