Fernando Sequeira

54 papers receiving 1.4k citations

Peers

Fernando Sequeira
Comparison fields: 5 of 86
  • Ecological Modeling 498
  • Global and Planetary Change 607
  • Nature and Landscape Conservation 346
  • Genetics 719
  • Ecology, Evolution, Behavior and Systematics 375
Replace João Alexandrino with:
João Alexandrino Brazil
Tereza Ježková United States
Renee A. Catullo Australia
Marcelo Gehara United States
Sylvain Ursenbacher Switzerland
Danielle L. Edwards United States
Anthony J. Barley United States
Kin Onn Chan United States
Daniel Jablonski Slovakia
Václav Gvoždík Czechia
Fernando Sequeira relative to João Alexandrino Brazil João Alexandrino's profile →
Citations per field
00.5×2×3.3×
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 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014270
2 2019125
3 2009102
4 201073
5 200968
6 201662
7 201157
8 201857
9 200454
10 201349
11 201345
12 200935
13 201534
14 201733
15 201829
16 200627
17 200424
18 200824
19 201524
20 202022

About Fernando Sequeira

Fernando Sequeira is a scholar working on Global and Planetary Change, Genetics, Ecological Modeling, Nature and Landscape Conservation and Ecology, having authored 57 papers that have together received 1.5k indexed citations. Recurring topics across this work include Amphibian and Reptile Biology (35 papers), Genetic diversity and population structure (33 papers), Species Distribution and Climate Change (14 papers), Genomics and Phylogenetic Studies (13 papers), Wildlife Ecology and Conservation (11 papers), Fish biology, ecology, and behavior (8 papers), Evolution and Paleontology Studies (6 papers) and Ecology and Vegetation Dynamics Studies (3 papers). The work is most often cited by research in Ecological Modeling (498 citations), Global and Planetary Change (607 citations), Nature and Landscape Conservation (346 citations), Genetics (719 citations) and Ecology, Evolution, Behavior and Systematics (375 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 Fernando Baptista Haddad, Tuliana O. Brunes, Helena Gonçalves, Í‪ñigo Martínez-Solano and Iracilda Sampaio. Their work appears in journals such as Molecular Phylogenetics and Evolution, Amphibia-Reptilia, Journal of Biogeography, 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.

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