Elisabetta Messaggio

70 total papers · 1.2k total citations
37 papers, 894 citations indexed

About

Elisabetta Messaggio is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Molecular Biology. According to data from OpenAlex, Elisabetta Messaggio has authored 37 papers receiving a total of 894 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Endocrinology, Diabetes and Metabolism, 14 papers in Cardiology and Cardiovascular Medicine and 12 papers in Molecular Biology. Recurrent topics in Elisabetta Messaggio's work include Hormonal Regulation and Hypertension (13 papers), Ion Transport and Channel Regulation (11 papers) and Blood Pressure and Hypertension Studies (7 papers). Elisabetta Messaggio is often cited by papers focused on Hormonal Regulation and Hypertension (13 papers), Ion Transport and Channel Regulation (11 papers) and Blood Pressure and Hypertension Studies (7 papers). Elisabetta Messaggio collaborates with scholars based in Italy, United States and Belgium. Elisabetta Messaggio's co-authors include Paolo Manunta, Giuseppe Bianchi, Chiara Lanzani, John M. Hamlyn, Lorena Citterio, Laura Zagato, Daniele Cusi, Jan A. Staessen, Marco Simonini and Mara Ferrandi and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Kidney International.

In The Last Decade

Elisabetta Messaggio

35 papers receiving 874 citations

Author Peers

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

Author Last Decade Papers Cites
Elisabetta Messaggio 437 293 261 179 118 37 894
I. Antonipillai 314 0.7× 315 1.1× 202 0.8× 209 1.2× 117 1.0× 34 959
Quaisar Ali 320 0.7× 307 1.0× 456 1.7× 87 0.5× 112 0.9× 32 953
Shengyu Mu 350 0.8× 286 1.0× 184 0.7× 309 1.7× 120 1.0× 39 1.0k
Jessica R. Ivy 403 0.9× 180 0.6× 130 0.5× 145 0.8× 99 0.8× 27 835
M. De Luise 315 0.7× 219 0.7× 148 0.6× 88 0.5× 192 1.6× 23 897
Justin P. Van Beusecum 254 0.6× 162 0.6× 196 0.8× 299 1.7× 173 1.5× 29 904
Hongfan Li 399 0.9× 126 0.4× 207 0.8× 141 0.8× 111 0.9× 48 1.0k
Monique C. Churchill 363 0.8× 192 0.7× 394 1.5× 67 0.4× 171 1.4× 56 946
G. W. Boyd 215 0.5× 235 0.8× 295 1.1× 86 0.5× 62 0.5× 36 799
E. G. Schneider 336 0.8× 205 0.7× 171 0.7× 68 0.4× 134 1.1× 52 849

Countries citing papers authored by Elisabetta Messaggio

Since Specialization
Citations

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

Fields of papers citing papers by Elisabetta Messaggio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elisabetta Messaggio

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