Tatiana Leite

1.4k citations
42 papers · 752 indexed · h-index 16

Tatiana Leite

40 papers receiving 733 citations

Peers

Tatiana Leite
Comparison fields: 5 of 51
  • Ecology, Evolution, Behavior and Systematics 606
  • Ecological Modeling 89
  • Small Animals 113
  • Ecology 331
  • Oceanography 105
Replace Ian G. Gleadall with:
Ian G. Gleadall Japan
Érica Alves González Vidal Brazil
Francisco Rocha Spain
C. Perales-Raya Spain
Kerstin Warnke Germany
Patrizia Jereb Italy
Peter R. Boyle United Kingdom
José Eduardo Amoroso Rodriguez Marian Brazil
M. R. Lipiński South Africa
Claudia Caamal‐Monsreal Mexico
Tatiana Leite relative to Ian G. Gleadall Japan Ian G. Gleadall's profile →
Citations per field
00.5×3.1×
Ian G. Gleadall · 1×
Citations per year

Countries citing papers authored by Tatiana Leite

Since Specialization
Citations

This map shows the geographic impact of Tatiana Leite'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 Tatiana Leite with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tatiana Leite more than expected).

Fields of papers citing papers by Tatiana Leite

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tatiana Leite. 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 Tatiana Leite. The network helps show where Tatiana Leite may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Tatiana Leite, 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 Tatiana Leite Line = papers co-authored together Tatiana Leite links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20250
4 20237
5 20237
6 20234
7 20221
8 202211
9 202127
10 202128
11 201743
12 201622
13 201612
14 201618
15 201514
16
A pesca de polvos no Arquipélago de Fernando de Noronha, Brasil
20123
17 201221
18 200959
19 200964
20 20082

About Tatiana Leite

Tatiana Leite is a scholar working on Ecological Modeling, Ecology, Evolution, Behavior and Systematics and Small Animals, having authored 42 papers that have together received 752 indexed citations. Recurring topics across this work include Cephalopods and Marine Biology (35 papers), Isotope Analysis in Ecology (12 papers), Veterinary Pharmacology and Anesthesia (9 papers), Species Distribution and Climate Change (8 papers), Chemical synthesis and alkaloids (7 papers), Marine and fisheries research (7 papers), Coral and Marine Ecosystems Studies (5 papers) and Marine animal studies overview (4 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (606 citations), Ecological Modeling (89 citations) and Small Animals (113 citations). Tatiana Leite has collaborated with scholars based in Brazil, Canada and United States. Frequent co-authors include Manuel Haimovici, Jennifer A. Mather, Jorge Eduardo Lins Oliveira, Wagner Franco Molina, Kerstin Warnke, Sergio Maia Queiroz Lima, Érica Alves González Vidal, Jan M. Strugnell, Carlos Rosas and Waldir M. Berbel‐Filho. Their work appears in journals such as Marine Biology, American Malacological Bulletin, Marine Pollution Bulletin, Fisheries Research and Current Zoology.

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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