Thalita Rocha

80 total papers · 699 total citations
51 papers, 538 citations indexed

About

Thalita Rocha is a scholar working on Genetics, Molecular Biology and Pharmacology. According to data from OpenAlex, Thalita Rocha has authored 51 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Genetics, 12 papers in Molecular Biology and 9 papers in Pharmacology. Recurrent topics in Thalita Rocha's work include Venomous Animal Envenomation and Studies (19 papers), Healthcare and Venom Research (8 papers) and Pharmacological Effects of Natural Compounds (8 papers). Thalita Rocha is often cited by papers focused on Venomous Animal Envenomation and Studies (19 papers), Healthcare and Venom Research (8 papers) and Pharmacological Effects of Natural Compounds (8 papers). Thalita Rocha collaborates with scholars based in Brazil, United Kingdom and United States. Thalita Rocha's co-authors include Mário Sérgio Palma, Maria Alice da Cruz‐Höfling, Bibiana Monson de Souza, Alessandra Gambero, Léa Rodrigues‐Simioni, Marcelo Lima Ribeiro, Flávio Henrique Caetano, Manoela Marques Ortega, Ana Maria Moro and José Carlos Cogo and has published in prestigious journals such as PLoS ONE, Brain and The FASEB Journal.

In The Last Decade

Thalita Rocha

48 papers receiving 530 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Thalita Rocha 183 160 75 70 65 51 538
Alba Torres 236 1.3× 198 1.2× 128 1.7× 88 1.3× 58 0.9× 28 573
Néstor Lago 163 0.9× 185 1.2× 27 0.4× 28 0.4× 35 0.5× 39 528
José L. Donato 139 0.8× 171 1.1× 21 0.3× 78 1.1× 69 1.1× 26 581
María E. Girón 431 2.4× 230 1.4× 39 0.5× 53 0.8× 241 3.7× 49 592
Zhigui Duan 284 1.6× 298 1.9× 64 0.9× 44 0.6× 11 0.2× 35 473
F. Kornalík 449 2.5× 209 1.3× 42 0.6× 130 1.9× 112 1.7× 44 605
Yan Guang-mei 277 1.5× 329 2.1× 16 0.2× 32 0.5× 89 1.4× 29 614
Lambro A. Johnson 135 0.7× 255 1.6× 23 0.3× 35 0.5× 31 0.5× 42 603
Héctor J. Finol 70 0.4× 175 1.1× 22 0.3× 24 0.3× 16 0.2× 60 479
Jean‐Claude Desfontis 66 0.4× 144 0.9× 17 0.2× 53 0.8× 20 0.3× 53 479

Countries citing papers authored by Thalita Rocha

Since Specialization
Citations

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

Fields of papers citing papers by Thalita Rocha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thalita Rocha

This figure shows the co-authorship network connecting the top 25 collaborators of Thalita Rocha. A scholar is included among the top collaborators of Thalita Rocha based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Thalita Rocha. Thalita Rocha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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