J.M. de Souza

29 total papers · 556 total citations
13 papers, 356 citations indexed

About

J.M. de Souza is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, J.M. de Souza has authored 13 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 5 papers in Molecular Biology and 5 papers in Cognitive Neuroscience. Recurrent topics in J.M. de Souza's work include Neurobiology and Insect Physiology Research (6 papers), Visual perception and processing mechanisms (5 papers) and Retinal Development and Disorders (5 papers). J.M. de Souza is often cited by papers focused on Neurobiology and Insect Physiology Research (6 papers), Visual perception and processing mechanisms (5 papers) and Retinal Development and Disorders (5 papers). J.M. de Souza collaborates with scholars based in Brazil, United States and Germany. J.M. de Souza's co-authors include Dora Fix Ventura, Randolf Menzel, Horst Hertel, Uwe Greggers, Yossi Zana, Luiz Carlos L. Silveira, Marcelo Fernandes Costa, Aguinaldo Luíz Simões, Cézar Akiyoshi Saito and Fernando Allan de Farias Rocha and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Experimental Biology and Journal of Comparative Physiology A.

In The Last Decade

J.M. de Souza

11 papers receiving 345 citations

Author Peers

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

Author Last Decade Papers Cites
J.M. de Souza 121 107 95 83 58 13 356
Hanne Halkinrud Thoen 151 1.2× 54 0.5× 111 1.2× 61 0.7× 13 0.2× 12 344
Gregory D. Marquart 139 1.1× 94 0.9× 42 0.4× 128 1.5× 11 0.2× 9 384
Kandice Fero 127 1.0× 41 0.4× 54 0.6× 113 1.4× 24 0.4× 8 365
Adarli Romero 179 1.5× 87 0.8× 61 0.6× 61 0.7× 57 1.0× 14 395
Daniela Maria Oliveira Bonci 68 0.6× 60 0.6× 32 0.3× 198 2.4× 47 0.8× 35 384
Stefano Montelli 177 1.5× 36 0.3× 68 0.7× 53 0.6× 15 0.3× 17 387
Daniel Hoops 150 1.2× 45 0.4× 50 0.5× 70 0.8× 6 0.1× 17 322
Michael Orr 184 1.5× 54 0.5× 72 0.8× 17 0.2× 25 0.4× 8 353
Priscila Fernandes Silva 38 0.3× 52 0.5× 57 0.6× 31 0.4× 16 0.3× 18 294
C. D. Drewes 201 1.7× 22 0.2× 58 0.6× 81 1.0× 61 1.1× 23 335

Countries citing papers authored by J.M. de Souza

Since Specialization
Citations

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

Fields of papers citing papers by J.M. de Souza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.M. de Souza. 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 J.M. de Souza. The network helps show where J.M. de Souza may publish in the future.

Co-authorship network of co-authors of J.M. de Souza

This figure shows the co-authorship network connecting the top 25 collaborators of J.M. de Souza. A scholar is included among the top collaborators of J.M. de Souza 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 J.M. de Souza. J.M. de Souza 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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2026