Donato A. Rivas

71 total papers · 2.3k total citations
50 papers, 1.6k citations indexed

About

Donato A. Rivas is a scholar working on Physiology, Molecular Biology and Cell Biology. According to data from OpenAlex, Donato A. Rivas has authored 50 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Physiology, 25 papers in Molecular Biology and 16 papers in Cell Biology. Recurrent topics in Donato A. Rivas's work include Adipose Tissue and Metabolism (28 papers), Muscle metabolism and nutrition (14 papers) and Muscle Physiology and Disorders (12 papers). Donato A. Rivas is often cited by papers focused on Adipose Tissue and Metabolism (28 papers), Muscle metabolism and nutrition (14 papers) and Muscle Physiology and Disorders (12 papers). Donato A. Rivas collaborates with scholars based in United States, Australia and Brazil. Donato A. Rivas's co-authors include Roger A. Fielding, Sarah J. Lessard, John A. Hawley, Ben B. Yaspelkis, Lee M. Margolis, Maurício Morais, Nicholas Rice, Lisa Ceglia, Laurie J. Goodyear and Steven L. Britton and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Donato A. Rivas

49 papers receiving 1.6k citations

Author Peers

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

Author Last Decade Papers Cites
Donato A. Rivas 990 702 411 211 200 50 1.6k
Charles Gobelet 942 1.0× 959 1.4× 442 1.1× 239 1.1× 67 0.3× 45 2.2k
Eric Rullman 554 0.6× 634 0.9× 190 0.5× 254 1.2× 129 0.6× 64 1.6k
Borja Guerra 719 0.7× 458 0.7× 262 0.6× 182 0.9× 108 0.5× 56 1.7k
Christopher G. R. Perry 1.2k 1.2× 1.1k 1.6× 469 1.1× 306 1.5× 82 0.4× 65 2.1k
Kirsten F. Howlett 1.1k 1.1× 963 1.4× 588 1.4× 289 1.4× 96 0.5× 46 2.0k
Ivan Dimauro 585 0.6× 746 1.1× 255 0.6× 398 1.9× 121 0.6× 69 1.7k
Michael P. Wiggs 839 0.8× 963 1.4× 265 0.6× 237 1.1× 94 0.5× 51 1.7k
Isabella Irrcher 1.1k 1.1× 1.4k 2.0× 500 1.2× 287 1.4× 135 0.7× 32 2.4k
Mark E. Cleasby 1.0k 1.0× 828 1.2× 205 0.5× 91 0.4× 77 0.4× 33 2.1k
R. Favier 837 0.8× 568 0.8× 527 1.3× 281 1.3× 70 0.3× 75 2.0k

Countries citing papers authored by Donato A. Rivas

Since Specialization
Citations

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

Fields of papers citing papers by Donato A. Rivas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Donato A. Rivas. 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 Donato A. Rivas. The network helps show where Donato A. Rivas may publish in the future.

Co-authorship network of co-authors of Donato A. Rivas

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