Daniel Fonseca

18 total papers · 652 total citations
6 papers, 475 citations indexed

About

Daniel Fonseca is a scholar working on Cell Biology, Political Science and International Relations and Endocrine and Autonomic Systems. According to data from OpenAlex, Daniel Fonseca has authored 6 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Cell Biology, 1 paper in Political Science and International Relations and 1 paper in Endocrine and Autonomic Systems. Recurrent topics in Daniel Fonseca's work include Endoplasmic Reticulum Stress and Disease (2 papers), EEG and Brain-Computer Interfaces (1 paper) and Neural and Behavioral Psychology Studies (1 paper). Daniel Fonseca is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (2 papers), EEG and Brain-Computer Interfaces (1 paper) and Neural and Behavioral Psychology Studies (1 paper). Daniel Fonseca collaborates with scholars based in Brazil, United States and Portugal. Daniel Fonseca's co-authors include Sergio Konichezky, Haroldo Capurro, R. Caldeyro‐Barcia, Pedro Carvalho, Saher A. Shaikh, Emma J. Grant, Eduardo Barroso, Patrick Freire, Carlos Cordeiro and Thomas G. Gligoris and has published in prestigious journals such as The Journal of Cell Biology, Biochemical Journal and Frontiers in Immunology.

In The Last Decade

Daniel Fonseca

6 papers receiving 437 citations

Hit Papers

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Author Peers

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

Author Last Decade Papers Cites
Daniel Fonseca 246 111 104 102 100 6 475
Haroldo Capurro 263 1.1× 119 1.1× 104 1.0× 108 1.1× 116 1.2× 4 500
Ellen Bradley 278 1.1× 146 1.3× 76 0.7× 151 1.5× 106 1.1× 6 510
Angela Bromley 157 0.6× 92 0.8× 64 0.6× 98 1.0× 138 1.4× 10 536
Susan Tucker Blackburn 245 1.0× 111 1.0× 44 0.4× 95 0.9× 86 0.9× 8 502
MG Gravett 257 1.0× 151 1.4× 75 0.7× 68 0.7× 206 2.1× 6 440
DJ Field 241 1.0× 106 1.0× 58 0.6× 162 1.6× 89 0.9× 11 434
P. S. Shah 248 1.0× 110 1.0× 57 0.5× 77 0.8× 56 0.6× 12 494
G R Alexander 247 1.0× 59 0.5× 25 0.2× 106 1.0× 155 1.6× 15 493
HE Knight 356 1.4× 51 0.5× 125 1.2× 78 0.8× 241 2.4× 15 462
Tania Gavidia 236 1.0× 131 1.2× 191 1.8× 71 0.7× 58 0.6× 9 462

Countries citing papers authored by Daniel Fonseca

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Fonseca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Fonseca

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Fonseca. A scholar is included among the top collaborators of Daniel Fonseca 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 Daniel Fonseca. Daniel Fonseca 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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