Gabriel S. Pena

52 total papers · 777 total citations
25 papers, 509 citations indexed

About

Gabriel S. Pena is a scholar working on Physiology, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Gabriel S. Pena has authored 25 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Physiology, 5 papers in Molecular Biology and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Gabriel S. Pena's work include Heart Rate Variability and Autonomic Control (4 papers), Functional Brain Connectivity Studies (4 papers) and Adipose Tissue and Metabolism (3 papers). Gabriel S. Pena is often cited by papers focused on Heart Rate Variability and Autonomic Control (4 papers), Functional Brain Connectivity Studies (4 papers) and Adipose Tissue and Metabolism (3 papers). Gabriel S. Pena collaborates with scholars based in United States, Argentina and Canada. Gabriel S. Pena's co-authors include Daniel D. Callow, Junyeon Won, Naomi A. Arnold-Nedimala, Leslie Jordan, John L. Woodard, J. Carson Smith, J. Carson Smith, Michael Whitehurst, Andy V. Khamoui and Nishant P. Visavadiya and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neuroscience & Biobehavioral Reviews and Medicine & Science in Sports & Exercise.

In The Last Decade

Gabriel S. Pena

23 papers receiving 500 citations

Author Peers

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

Author Last Decade Papers Cites
Gabriel S. Pena 195 149 81 73 67 25 509
Valdir de Aquino Lemos 117 0.6× 86 0.6× 30 0.4× 32 0.4× 55 0.8× 21 515
Junyeon Won 149 0.8× 153 1.0× 84 1.0× 216 3.0× 77 1.1× 36 594
Rebecca L. Acabchuk 69 0.4× 226 1.5× 68 0.8× 43 0.6× 87 1.3× 18 611
Camila Ferreira 161 0.8× 120 0.8× 23 0.3× 139 1.9× 56 0.8× 15 615
J Martínez de la Iglesia 104 0.5× 35 0.2× 97 1.2× 62 0.8× 42 0.6× 31 581
Yinghao Zhao 81 0.4× 128 0.9× 47 0.6× 33 0.5× 91 1.4× 11 573
Hyun Woong Roh 82 0.4× 65 0.4× 110 1.4× 50 0.7× 37 0.6× 52 447
Hanna Wetterberg 163 0.8× 42 0.3× 74 0.9× 45 0.6× 23 0.3× 36 543
Mei Song 83 0.4× 67 0.4× 39 0.5× 150 2.1× 28 0.4× 41 586
Roberta Vaccaro 65 0.3× 70 0.5× 94 1.2× 67 0.9× 33 0.5× 39 506

Countries citing papers authored by Gabriel S. Pena

Since Specialization
Citations

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

Fields of papers citing papers by Gabriel S. Pena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gabriel S. Pena. 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 Gabriel S. Pena. The network helps show where Gabriel S. Pena may publish in the future.

Co-authorship network of co-authors of Gabriel S. Pena

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriel S. Pena. A scholar is included among the top collaborators of Gabriel S. Pena 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 Gabriel S. Pena. Gabriel S. Pena 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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