Emanuele Gatti

67 total papers · 1.5k total citations
41 papers, 1.1k citations indexed

About

Emanuele Gatti is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine and Biomedical Engineering. According to data from OpenAlex, Emanuele Gatti has authored 41 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Nephrology, 13 papers in Cardiology and Cardiovascular Medicine and 6 papers in Biomedical Engineering. Recurrent topics in Emanuele Gatti's work include Dialysis and Renal Disease Management (15 papers), Blood Pressure and Hypertension Studies (8 papers) and Artificial Intelligence in Healthcare (5 papers). Emanuele Gatti is often cited by papers focused on Dialysis and Renal Disease Management (15 papers), Blood Pressure and Hypertension Studies (8 papers) and Artificial Intelligence in Healthcare (5 papers). Emanuele Gatti collaborates with scholars based in Germany, Italy and Austria. Emanuele Gatti's co-authors include Daniele Marcelli, Sudhir K. Bowry, Flavio Mari, Andrea Stopper, C. Barbieri, Bernard Canaud, Raffaele Calabrò, Gennaro Cice, Salvatore D’Isa and Attilio Di Benedetto and has published in prestigious journals such as The Journal of Immunology, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Emanuele Gatti

40 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Emanuele Gatti 545 221 187 147 129 41 1.1k
R Cocchi 316 0.6× 78 0.4× 360 1.9× 104 0.7× 23 0.2× 73 1.0k
Fred Shapiro 271 0.5× 83 0.4× 264 1.4× 116 0.8× 128 1.0× 35 1.3k
Chiharu Ito 297 0.5× 123 0.6× 238 1.3× 46 0.3× 88 0.7× 62 1.2k
Beverley Matthews 414 0.8× 64 0.3× 74 0.4× 20 0.1× 9 0.1× 14 1.1k
Kan Kikuchi 234 0.4× 406 1.8× 154 0.8× 67 0.5× 24 0.2× 65 1.0k
Peter Jehle 291 0.5× 62 0.3× 345 1.8× 85 0.6× 31 0.2× 54 1.2k
Xi Wang 227 0.4× 415 1.9× 162 0.9× 230 1.6× 2 0.0× 91 1.1k
Isabel Cortegano 66 0.1× 31 0.1× 143 0.8× 12 0.1× 35 0.3× 39 1.1k
Hongyuan Zhang 165 0.3× 50 0.2× 78 0.4× 32 0.2× 38 0.3× 48 949
Jack Moore 335 0.6× 184 0.8× 115 0.6× 11 0.1× 64 0.5× 45 1.2k

Countries citing papers authored by Emanuele Gatti

Since Specialization
Citations

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

Fields of papers citing papers by Emanuele Gatti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emanuele Gatti

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