Fernando Sequeira

51 papers receiving 1.3k citations

Peers

Fernando Sequeira
Comparison fields: 5 of 84
  • Ecological Modeling 460
  • Global and Planetary Change 565
  • Genetics 654
  • Nature and Landscape Conservation 263
  • Ecology, Evolution, Behavior and Systematics 330
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
Yann Surget‐Groba France
Anthony J. Barley United States
Georg Džukić Serbia
Fernando Sequeira relative to João Alexandrino Brazil João Alexandrino's profile →
Citations per field
00.5×2×3.4×
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 2014268
2 2009106
3 201073
4 200969
5 201661
6 201155
7 200455
8 201854
9 201346
10 201345
11 200934
12 201533
13 201732
14 200628
15 201828
16 200425
17 200824
18 201422
19 201522
20 202021

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 (460 citations), Global and Planetary Change (565 citations), Genetics (654 citations), Nature and Landscape Conservation (263 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 Sandra Beleza. Their work appears in journals such as Molecular Phylogenetics and Evolution, Amphibia-Reptilia, Journal of Biogeography, BMC Evolutionary Biology and GigaScience.

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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