Caetano Souto-Maior

621 total citations
9 papers, 163 citations indexed

About

Caetano Souto-Maior is a scholar working on Public Health, Environmental and Occupational Health, Insect Science and Cellular and Molecular Neuroscience. According to data from OpenAlex, Caetano Souto-Maior has authored 9 papers receiving a total of 163 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Public Health, Environmental and Occupational Health, 4 papers in Insect Science and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Caetano Souto-Maior's work include Insect symbiosis and bacterial influences (4 papers), Insect and Pesticide Research (3 papers) and Mosquito-borne diseases and control (3 papers). Caetano Souto-Maior is often cited by papers focused on Insect symbiosis and bacterial influences (4 papers), Insect and Pesticide Research (3 papers) and Mosquito-borne diseases and control (3 papers). Caetano Souto-Maior collaborates with scholars based in Portugal, Brazil and United Kingdom. Caetano Souto-Maior's co-authors include M. Gabriela M. Gomes, Jessica G. King, Rafael Maciel‐de‐Freitas, Rodrigo M. Corder, Guilherme Gonçalves, Carlos Penha‐Gonçalves, Marcelo U. Ferreira, Maria Chikina, Wesley Pegden and Ricardo Aguás and has published in prestigious journals such as Nature Communications, Scientific Reports and Journal of Theoretical Biology.

In The Last Decade

Caetano Souto-Maior

9 papers receiving 159 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Caetano Souto-Maior Portugal 7 77 68 55 45 22 9 163
Lauren Castro United States 8 50 0.6× 67 1.0× 63 1.1× 13 0.3× 67 3.0× 22 160
Thomas J. Hladish United States 9 116 1.5× 199 2.9× 108 2.0× 42 0.9× 34 1.5× 17 275
Emma L. Davis United Kingdom 9 42 0.5× 48 0.7× 98 1.8× 10 0.2× 14 0.6× 15 155
Isobel Routledge United States 8 66 0.9× 123 1.8× 123 2.2× 10 0.2× 22 1.0× 17 237
Molly Gallagher United States 8 21 0.3× 19 0.3× 48 0.9× 8 0.2× 38 1.7× 10 148
Run‐Ze Ye China 8 29 0.4× 15 0.2× 77 1.4× 16 0.4× 21 1.0× 28 150
Janetta Skarp United Kingdom 5 23 0.3× 168 2.5× 43 0.8× 20 0.4× 4 0.2× 8 204
María José Sierra-Moros Spain 6 31 0.4× 154 2.3× 97 1.8× 6 0.1× 63 2.9× 7 230
Talya Shragai United States 6 17 0.2× 135 2.0× 75 1.4× 34 0.8× 5 0.2× 13 175
Rebecca K. Borchering United States 9 62 0.8× 50 0.7× 62 1.1× 3 0.1× 49 2.2× 14 148

Countries citing papers authored by Caetano Souto-Maior

Since Specialization
Citations

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

Fields of papers citing papers by Caetano Souto-Maior

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Caetano Souto-Maior. 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 Caetano Souto-Maior. The network helps show where Caetano Souto-Maior may publish in the future.

Co-authorship network of co-authors of Caetano Souto-Maior

This figure shows the co-authorship network connecting the top 25 collaborators of Caetano Souto-Maior. A scholar is included among the top collaborators of Caetano Souto-Maior 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 Caetano Souto-Maior. Caetano Souto-Maior is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
2.
Souto-Maior, Caetano, Yazmin L. Serrano Negron, & Susan T Harbison. (2023). Nonlinear expression patterns and multiple shifts in gene network interactions underlie robust phenotypic change in Drosophila melanogaster selected for night sleep duration. PLoS Computational Biology. 19(8). e1011389–e1011389. 1 indexed citations
3.
Gomes, M. Gabriela M., Marcelo U. Ferreira, Rodrigo M. Corder, et al.. (2022). Individual variation in susceptibility or exposure to SARS-CoV-2 lowers the herd immunity threshold. Journal of Theoretical Biology. 540. 111063–111063. 78 indexed citations
4.
Souto-Maior, Caetano, Yazmin L. Serrano Negron, & Susan T Harbison. (2020). Natural selection on sleep duration in Drosophila melanogaster. Scientific Reports. 10(1). 20652–20652. 7 indexed citations
5.
King, Jessica G., et al.. (2018). Variation in Wolbachia effects on Aedes mosquitoes as a determinant of invasiveness and vectorial capacity. Nature Communications. 9(1). 1483–1483. 37 indexed citations
6.
Souto-Maior, Caetano, Gabriel Sylvestre, Fernando Braga Stehling Dias, M. Gabriela M. Gomes, & Rafael Maciel‐de‐Freitas. (2018). Model-based inference from multiple dose, time course data reveals Wolbachia effects on infection profiles of type 1 dengue virus in Aedes aegypti. PLoS neglected tropical diseases. 12(3). e0006339–e0006339. 8 indexed citations
7.
Gomes, M. Gabriela M., Erida Gjini, João S. Lopes, Caetano Souto-Maior, & Carlota Rebelo. (2016). A theoretical framework to identify invariant thresholds in infectious disease epidemiology. Journal of Theoretical Biology. 395. 97–102. 6 indexed citations
8.
Souto-Maior, Caetano, et al.. (2014). Unveiling Time in Dose-Response Models to Infer Host Susceptibility to Pathogens. PLoS Computational Biology. 10(8). e1003773–e1003773. 16 indexed citations
9.
Souto-Maior, Caetano, João S. Lopes, Erida Gjini, et al.. (2014). Heterogeneity in symbiotic effects facilitates Wolbachia establishment in insect populations. Theoretical Ecology. 8(1). 53–65. 9 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026