Arianna Pani

85 total papers · 1.8k total citations
61 papers, 1.2k citations indexed

About

Arianna Pani is a scholar working on Pulmonary and Respiratory Medicine, Infectious Diseases and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Arianna Pani has authored 61 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Pulmonary and Respiratory Medicine, 13 papers in Infectious Diseases and 12 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Arianna Pani's work include Atrial Fibrillation Management and Outcomes (9 papers), SARS-CoV-2 and COVID-19 Research (9 papers) and COVID-19 Clinical Research Studies (6 papers). Arianna Pani is often cited by papers focused on Atrial Fibrillation Management and Outcomes (9 papers), SARS-CoV-2 and COVID-19 Research (9 papers) and COVID-19 Clinical Research Studies (6 papers). Arianna Pani collaborates with scholars based in Italy, France and United Kingdom. Arianna Pani's co-authors include Francesco Scaglione, Daniele Pastori, Alessandra Romandini, Francesco Baratta, Viviana Frantellizzi, Maria Del Ben, Francesco Angelico, Danilo Menichelli, Giuseppe De Vincentis and Licia Polimeni and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Arianna Pani

56 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
Arianna Pani 286 191 183 175 162 61 1.2k
Jean-Jacques Monsuez 259 0.9× 149 0.8× 143 0.8× 133 0.8× 149 0.9× 86 1.3k
Richard A. McPherson 284 1.0× 92 0.5× 105 0.6× 347 2.0× 139 0.9× 58 1.3k
Andrea Dalbeni 450 1.6× 361 1.9× 117 0.6× 179 1.0× 78 0.5× 81 1.3k
Xiaoming Li 279 1.0× 287 1.5× 177 1.0× 208 1.2× 94 0.6× 55 1.3k
Jun‐Jun Yeh 334 1.2× 215 1.1× 171 0.9× 190 1.1× 416 2.6× 72 1.4k
Jing Wu 288 1.0× 166 0.9× 84 0.5× 225 1.3× 119 0.7× 54 1.2k
Lei Shu 191 0.7× 142 0.7× 238 1.3× 303 1.7× 265 1.6× 69 1.4k
L Weinstein 296 1.0× 204 1.1× 266 1.5× 170 1.0× 169 1.0× 71 1.5k
Daniel Shepshelovich 111 0.4× 107 0.6× 205 1.1× 167 1.0× 198 1.2× 93 1.2k
M. Godin 147 0.5× 89 0.5× 129 0.7× 258 1.5× 222 1.4× 94 1.4k

Countries citing papers authored by Arianna Pani

Since Specialization
Citations

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

Fields of papers citing papers by Arianna Pani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arianna Pani

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