G. Perona

108 total papers · 1.9k total citations
68 papers, 1.6k citations indexed

About

G. Perona is a scholar working on Genetics, Pathology and Forensic Medicine and Hematology. According to data from OpenAlex, G. Perona has authored 68 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Genetics, 15 papers in Pathology and Forensic Medicine and 15 papers in Hematology. Recurrent topics in G. Perona's work include Lymphoma Diagnosis and Treatment (13 papers), Selenium in Biological Systems (10 papers) and Chronic Lymphocytic Leukemia Research (9 papers). G. Perona is often cited by papers focused on Lymphoma Diagnosis and Treatment (13 papers), Selenium in Biological Systems (10 papers) and Chronic Lymphocytic Leukemia Research (9 papers). G. Perona collaborates with scholars based in Italy, United Kingdom and Japan. G. Perona's co-authors include Gian Cesare Guidi, Giovanni Pizzolo, Marco Chilosi, Gianpietro Semenzato, G Todeschini, Alberto Ambrosetti, Dino Veneri, R. Cellerino, Renzo Schiavon and L Fiore-Donati and has published in prestigious journals such as The Lancet, Journal of Clinical Oncology and Blood.

In The Last Decade

G. Perona

67 papers receiving 1.5k citations

Author Peers

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

Author Last Decade Papers Cites
G. Perona 416 374 330 321 279 68 1.6k
Daniele Longo 290 0.7× 447 1.2× 264 0.8× 145 0.5× 773 2.8× 48 1.9k
Leon Bernal‐Mizrachi 270 0.6× 466 1.2× 93 0.3× 206 0.6× 275 1.0× 45 1.7k
Earl N. Metz 263 0.6× 333 0.9× 356 1.1× 294 0.9× 223 0.8× 43 1.8k
Daniela Di Giuseppe 279 0.7× 150 0.4× 103 0.3× 241 0.8× 89 0.3× 70 1.7k
John McCormick 381 0.9× 191 0.5× 118 0.4× 224 0.7× 194 0.7× 39 1.8k
Gerrit van der Steege 634 1.5× 281 0.8× 362 1.1× 116 0.4× 302 1.1× 63 2.4k
Jerome B. Block 137 0.3× 275 0.7× 122 0.4× 137 0.4× 412 1.5× 59 2.3k
Alice H. Wang 252 0.6× 516 1.4× 157 0.5× 60 0.2× 657 2.4× 43 1.5k
Claudio Denzlinger 573 1.4× 105 0.3× 105 0.3× 235 0.7× 371 1.3× 67 2.0k
Shigeru Shirakawa 480 1.2× 433 1.2× 286 0.9× 814 2.5× 620 2.2× 98 2.3k

Countries citing papers authored by G. Perona

Since Specialization
Citations

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

Fields of papers citing papers by G. Perona

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Perona

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