Fernando Sequeira

51 papers receiving 1.3k citations

Peers

Fernando Sequeira
Comparison fields: 5 of 79
  • Ecological Modeling 447
  • Global and Planetary Change 558
  • Genetics 631
  • Nature and Landscape Conservation 250
  • Ecology, Evolution, Behavior and Systematics 322
Replace João Alexandrino with:
João Alexandrino Brazil
Philippe Géniez France
Tereza Ježková United States
Renee A. Catullo Australia
Sylvain Ursenbacher Switzerland
Charles W. Linkem United States
Danielle L. Edwards United States
Anthony J. Barley United States
Matthew E. Gifford United States
Marcelo Gehara United States
Fernando Sequeira relative to João Alexandrino Brazil João Alexandrino's profile →
Citations per field
00.5×3.1×
João Alexandrino · 1×
Citations per year

Countries citing papers authored by Fernando Sequeira

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Fernando Sequeira Line = papers co-authored together Fernando Sequeira links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014262
2 200993
3 201072
4 200969
5 201654
6 201154
7 200453
8 201851
9 201345
10 201341
11 201532
12 200932
13 200628
14 201828
15 200424
16 200823
17 201422
18 201522
19 202021
20 201919

About Fernando Sequeira

Fernando Sequeira is a scholar working on Genetics, Global and Planetary Change, Molecular Biology, Ecology and Nature and Landscape Conservation, having authored 55 papers that have together received 1.3k indexed citations. Recurring topics across this work include Amphibian and Reptile Biology (35 papers), Genetic diversity and population structure (33 papers), Genomics and Phylogenetic Studies (13 papers), Species Distribution and Climate Change (12 papers), Wildlife Ecology and Conservation (10 papers), Fish biology, ecology, and behavior (8 papers), Evolution and Paleontology Studies (5 papers) and Fish Ecology and Management Studies (3 papers). The work is most often cited by research in Ecological Modeling (447 citations), Global and Planetary Change (558 citations), Genetics (631 citations), Nature and Landscape Conservation (250 citations) and Ecology, Evolution, Behavior and Systematics (322 citations). Fernando Sequeira has collaborated with scholars based in Portugal, Brazil and Spain. Frequent co-authors include Marcelo Vallinoto, Nuno Ferrand, Reid Tingley, Michael Kearney, 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, Molecular Ecology Resources 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.

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