Miriam Revera

93 total papers · 3.5k total citations
42 papers, 1.5k citations indexed

About

Miriam Revera is a scholar working on Cardiology and Cardiovascular Medicine, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Miriam Revera has authored 42 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cardiology and Cardiovascular Medicine, 18 papers in Genetics and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Miriam Revera's work include High Altitude and Hypoxia (18 papers), Heart Rate Variability and Autonomic Control (12 papers) and Cardiovascular Function and Risk Factors (8 papers). Miriam Revera is often cited by papers focused on High Altitude and Hypoxia (18 papers), Heart Rate Variability and Autonomic Control (12 papers) and Cardiovascular Function and Risk Factors (8 papers). Miriam Revera collaborates with scholars based in Italy, United States and South Africa. Miriam Revera's co-authors include Gianfranco Parati, Giuseppe Mancia, Grzegorz Bilo, Andrea Faini, Carolina Lombardi, Andrea Giuliano, Piergiuseppe Agostoni, Francesca Gregorini, Gaetano Maria De Ferrari and Claudia Raineri and has published in prestigious journals such as Blood, PLoS ONE and Journal of Applied Physiology.

In The Last Decade

Miriam Revera

42 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Miriam Revera 821 472 310 233 170 42 1.5k
Christopher K. Willie 557 0.7× 275 0.6× 265 0.9× 287 1.2× 45 0.3× 28 1.4k
Michael M. Tymko 721 0.9× 548 1.2× 389 1.3× 335 1.4× 26 0.2× 88 1.5k
Angus K. Nightingale 1.2k 1.5× 114 0.2× 372 1.2× 233 1.0× 68 0.4× 77 1.7k
Nia C. S. Lewis 790 1.0× 385 0.8× 318 1.0× 345 1.5× 22 0.1× 42 1.7k
Mark J. Drinkhill 777 0.9× 236 0.5× 252 0.8× 291 1.2× 23 0.1× 48 1.3k
C. J. Dickinson 464 0.6× 141 0.3× 128 0.4× 198 0.8× 44 0.3× 63 1.3k
Annabel H. Nickol 153 0.2× 258 0.5× 274 0.9× 865 3.7× 50 0.3× 44 1.5k
Shuntaro Kagiyama 702 0.9× 116 0.2× 324 1.0× 112 0.5× 35 0.2× 54 1.8k
Todd L. Kiefer 431 0.5× 219 0.5× 460 1.5× 170 0.7× 14 0.1× 52 1.3k
Joshua C. Tremblay 448 0.5× 423 0.9× 217 0.7× 242 1.0× 8 0.0× 65 1.1k

Countries citing papers authored by Miriam Revera

Since Specialization
Citations

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

Fields of papers citing papers by Miriam Revera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miriam Revera

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