Fernando MCV Reis

29 total papers · 973 total citations
19 papers, 497 citations indexed

About

Fernando MCV Reis is a scholar working on Social Psychology, Cellular and Molecular Neuroscience and Behavioral Neuroscience. According to data from OpenAlex, Fernando MCV Reis has authored 19 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Social Psychology, 8 papers in Cellular and Molecular Neuroscience and 8 papers in Behavioral Neuroscience. Recurrent topics in Fernando MCV Reis's work include Neuroendocrine regulation and behavior (10 papers), Stress Responses and Cortisol (8 papers) and Neuroscience and Neuropharmacology Research (5 papers). Fernando MCV Reis is often cited by papers focused on Neuroendocrine regulation and behavior (10 papers), Stress Responses and Cortisol (8 papers) and Neuroscience and Neuropharmacology Research (5 papers). Fernando MCV Reis collaborates with scholars based in Brazil, United States and Spain. Fernando MCV Reis's co-authors include Manoela V. Fogaça, Francisco Silveira Guimarães, Alline C. Campos, Marcus Lira Brandão, Avishek Adhikari, Sandra Maesta‐Pereira, Peter J. Schuette, Newton S. Canteras, Adriano E. Reimer and Amanda Ribeiro de Oliveira and has published in prestigious journals such as Nature, Nature Communications and Neuron.

In The Last Decade

Fernando MCV Reis

19 papers receiving 493 citations

Author Peers

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

Author						Papers	Cites
Fernando MCV Reis	217	210	158	116	114	19	497
Maren D. Lange	226 1.0×	289 1.4×	121 0.8×	101 0.9×	133 1.2×	18	562
Dennison A. Smith	180 0.8×	304 1.4×	201 1.3×	55 0.5×	100 0.9×	16	557
Manó Aliczki	99 0.5×	237 1.1×	159 1.0×	189 1.6×	130 1.1×	20	518
Athelson Stefanon Bittencourt	188 0.9×	221 1.1×	164 1.0×	36 0.3×	158 1.4×	18	545
Elizabeth M. Doncheck	123 0.6×	220 1.0×	76 0.5×	154 1.3×	88 0.8×	18	461
Rafael Carvalho Almada	262 1.2×	331 1.6×	125 0.8×	98 0.8×	115 1.0×	32	523
Aileen M. Bailey	139 0.6×	280 1.3×	74 0.5×	101 0.9×	163 1.4×	16	558
Shelley K. Cross-Mellor	152 0.7×	125 0.6×	112 0.7×	87 0.8×	132 1.2×	20	452
W Trojniar	254 1.2×	333 1.6×	84 0.5×	57 0.5×	106 0.9×	45	577
Rimenez R. Souza	268 1.2×	155 0.7×	83 0.5×	82 0.7×	143 1.3×	24	540

Countries citing papers authored by Fernando MCV Reis

Since Specialization

Citations

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

Fields of papers citing papers by Fernando MCV Reis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando MCV Reis. 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 Fernando MCV Reis. The network helps show where Fernando MCV Reis may publish in the future.

Co-authorship network of co-authors of Fernando MCV Reis

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando MCV Reis. A scholar is included among the top collaborators of Fernando MCV Reis 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 Fernando MCV Reis. Fernando MCV Reis 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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