Gustavo Tenorio

31 total papers · 808 total citations
21 papers, 622 citations indexed

About

Gustavo Tenorio is a scholar working on Physiology, Cellular and Molecular Neuroscience and Pathology and Forensic Medicine. According to data from OpenAlex, Gustavo Tenorio has authored 21 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Physiology, 10 papers in Cellular and Molecular Neuroscience and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Gustavo Tenorio's work include Pain Mechanisms and Treatments (11 papers), Neuroscience and Neuropharmacology Research (8 papers) and Multiple Sclerosis Research Studies (6 papers). Gustavo Tenorio is often cited by papers focused on Pain Mechanisms and Treatments (11 papers), Neuroscience and Neuropharmacology Research (8 papers) and Multiple Sclerosis Research Studies (6 papers). Gustavo Tenorio collaborates with scholars based in Canada, United States and Netherlands. Gustavo Tenorio's co-authors include Bradley J. Kerr, Glen B. Baker, Curtis A. Benson, Grace Wong, Ian R. Winship, Peter Nguyen, Yves Sauvé, Camille Olechowski, Gail Rauw and Ashwini Kulkarni and has published in prestigious journals such as Scientific Reports, The FASEB Journal and Pain.

In The Last Decade

Gustavo Tenorio

20 papers receiving 614 citations

Author Peers

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

Author						Papers	Cites
Gustavo Tenorio	226	192	159	156	154	21	622
Laura Latini	250 1.1×	90 0.5×	83 0.5×	191 1.2×	156 1.0×	19	731
Luana Gilio	119 0.5×	106 0.6×	263 1.7×	127 0.8×	196 1.3×	38	732
Silvia Caioli	158 0.7×	123 0.6×	79 0.5×	258 1.7×	134 0.9×	28	700
Curtis A. Benson	105 0.5×	134 0.7×	146 0.9×	97 0.6×	77 0.5×	22	571
Johnny D. Figueroa	262 1.2×	133 0.7×	157 1.0×	145 0.9×	64 0.4×	37	681
Laura Batti	206 0.9×	103 0.5×	161 1.0×	156 1.0×	134 0.9×	19	554
Karen A. Baskerville	161 0.7×	87 0.5×	93 0.6×	138 0.9×	122 0.8×	13	571
Adriana Fernanda K. Vizuete	200 0.9×	206 1.1×	47 0.3×	273 1.8×	200 1.3×	40	779
Marianna Boi	253 1.1×	169 0.9×	56 0.4×	149 1.0×	117 0.8×	43	712
Qi Wan	97 0.4×	171 0.9×	105 0.7×	210 1.3×	174 1.1×	42	730

Countries citing papers authored by Gustavo Tenorio

Since Specialization

Citations

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

Fields of papers citing papers by Gustavo Tenorio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gustavo Tenorio

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