Patrizia Arboit

11 total papers · 496 total citations
8 papers, 360 citations indexed

About

Patrizia Arboit is a scholar working on Physiology, Molecular Biology and Oncology. According to data from OpenAlex, Patrizia Arboit has authored 8 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Physiology, 3 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in Patrizia Arboit's work include Adipose Tissue and Metabolism (3 papers), Malaria Research and Control (2 papers) and RNA modifications and cancer (2 papers). Patrizia Arboit is often cited by papers focused on Adipose Tissue and Metabolism (3 papers), Malaria Research and Control (2 papers) and RNA modifications and cancer (2 papers). Patrizia Arboit collaborates with scholars based in Switzerland, United Kingdom and Saudi Arabia. Patrizia Arboit's co-authors include Jean‐Paul Giacobino, Aaron P. Russell, Alain Golay, Giacomo Gastaldi, Elisabetta Bobbioni-Harsch, Joseph L. Witztum, O. Dériaz, Charles Gobelet, Lorenz Lehr and M. Ángeles Jiménez and has published in prestigious journals such as FEBS Letters, Science Advances and eLife.

In The Last Decade

Patrizia Arboit

8 papers receiving 350 citations

Author Peers

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

Author Last Decade Papers Cites
Patrizia Arboit 197 103 88 71 55 8 360
Amilie Paradis 245 1.2× 63 0.6× 80 0.9× 88 1.2× 21 0.4× 7 347
S. Thomas 253 1.3× 103 1.0× 71 0.8× 48 0.7× 26 0.5× 12 352
Thusitha Rupasinghe 82 0.4× 85 0.8× 35 0.4× 36 0.5× 24 0.4× 13 343
Nicole Nori 222 1.1× 110 1.1× 106 1.2× 22 0.3× 12 0.2× 12 397
José Luis Bucarey 132 0.7× 112 1.1× 36 0.4× 32 0.5× 16 0.3× 9 314
Lila M. Oyama 157 0.8× 75 0.7× 35 0.4× 117 1.6× 54 1.0× 8 342
Chiara Fecchio 168 0.9× 159 1.5× 66 0.8× 40 0.6× 17 0.3× 10 396
Lone Møller Pedersen 113 0.6× 117 1.1× 54 0.6× 21 0.3× 17 0.3× 7 298
Shih‐Lung Woo 185 0.9× 167 1.6× 66 0.8× 25 0.4× 26 0.5× 13 399
Parastoo Fazelzadeh 219 1.1× 110 1.1× 63 0.7× 56 0.8× 24 0.4× 12 296

Countries citing papers authored by Patrizia Arboit

Since Specialization
Citations

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

Fields of papers citing papers by Patrizia Arboit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrizia Arboit

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