M.A. Rivera-Bermudez

20 total papers · 1.1k total citations
12 papers, 940 citations indexed

About

M.A. Rivera-Bermudez is a scholar working on Molecular Biology, Endocrine and Autonomic Systems and Rheumatology. According to data from OpenAlex, M.A. Rivera-Bermudez has authored 12 papers receiving a total of 940 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Endocrine and Autonomic Systems and 4 papers in Rheumatology. Recurrent topics in M.A. Rivera-Bermudez's work include Osteoarthritis Treatment and Mechanisms (4 papers), Circadian rhythm and melatonin (4 papers) and Sleep and Wakefulness Research (3 papers). M.A. Rivera-Bermudez is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (4 papers), Circadian rhythm and melatonin (4 papers) and Sleep and Wakefulness Research (3 papers). M.A. Rivera-Bermudez collaborates with scholars based in United States, Sweden and Canada. M.A. Rivera-Bermudez's co-authors include Margarita L. Dubocovich, Carl R. Flannery, David J. Earnest, Elizabeth A. Morris, S.S. Glasson, John P. Hanifin, Robert T. Dauchy, Leonard A. Sauer, Leslie K. Davidson and David E. Blask and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Cancer Research.

In The Last Decade

M.A. Rivera-Bermudez

12 papers receiving 904 citations

Author Peers

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

Author Last Decade Papers Cites
M.A. Rivera-Bermudez 441 255 186 144 127 12 940
Ryota Nakazato 200 0.5× 54 0.2× 343 1.8× 156 1.1× 83 0.7× 34 866
Michelle Morin 106 0.2× 41 0.2× 265 1.4× 107 0.7× 63 0.5× 15 985
R. Pelayo 183 0.4× 188 0.7× 54 0.3× 301 2.1× 46 0.4× 22 1.1k
Karien E. de Rooij 81 0.2× 64 0.3× 592 3.2× 84 0.6× 74 0.6× 23 1.0k
Ananda Weerasuriya 73 0.2× 26 0.1× 209 1.1× 232 1.6× 140 1.1× 30 1.1k
Gavin MacColl 283 0.6× 36 0.1× 332 1.8× 165 1.1× 131 1.0× 22 1.2k
Miyuki Tauchi 226 0.5× 17 0.1× 268 1.4× 137 1.0× 199 1.6× 23 982
Anna Földes 177 0.4× 62 0.2× 177 1.0× 120 0.8× 58 0.5× 28 821
Sagar D. Patel 62 0.1× 44 0.2× 385 2.1× 85 0.6× 50 0.4× 11 966
Liying Chi 281 0.6× 15 0.1× 320 1.7× 356 2.5× 45 0.4× 20 1.2k

Countries citing papers authored by M.A. Rivera-Bermudez

Since Specialization
Citations

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

Fields of papers citing papers by M.A. Rivera-Bermudez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.A. Rivera-Bermudez. 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 M.A. Rivera-Bermudez. The network helps show where M.A. Rivera-Bermudez may publish in the future.

Co-authorship network of co-authors of M.A. Rivera-Bermudez

This figure shows the co-authorship network connecting the top 25 collaborators of M.A. Rivera-Bermudez. A scholar is included among the top collaborators of M.A. Rivera-Bermudez 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 M.A. Rivera-Bermudez. M.A. Rivera-Bermudez 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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2026