Roberto Cairoli

268 total papers · 5.2k total citations
130 papers, 2.1k citations indexed

About

Roberto Cairoli is a scholar working on Hematology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Roberto Cairoli has authored 130 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Hematology, 52 papers in Genetics and 35 papers in Pathology and Forensic Medicine. Recurrent topics in Roberto Cairoli's work include Chronic Lymphocytic Leukemia Research (40 papers), Acute Myeloid Leukemia Research (39 papers) and Lymphoma Diagnosis and Treatment (33 papers). Roberto Cairoli is often cited by papers focused on Chronic Lymphocytic Leukemia Research (40 papers), Acute Myeloid Leukemia Research (39 papers) and Lymphoma Diagnosis and Treatment (33 papers). Roberto Cairoli collaborates with scholars based in Italy, United States and Switzerland. Roberto Cairoli's co-authors include Enrica Morra, Alessandro Beghini, Lidia Larizza, Carla B. Ripamonti, Paolo Peterlongo, Marco Montillo, Alessandra Tedeschi, Cristina Mecucci, Giovanni Grillo and Silvio Veronese and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Roberto Cairoli

118 papers receiving 2.1k citations

Author Peers

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

Author Last Decade Papers Cites
Roberto Cairoli 1.1k 721 701 515 442 130 2.1k
W. Heit 1.3k 1.2× 491 0.7× 596 0.9× 572 1.1× 249 0.6× 95 2.3k
Blanca Xicoy 1.0k 1.0× 823 1.1× 430 0.6× 255 0.5× 603 1.4× 110 2.0k
Dario Ferrero 1.1k 1.1× 508 0.7× 887 1.3× 377 0.7× 251 0.6× 94 2.2k
A Najman 1.6k 1.5× 939 1.3× 583 0.8× 375 0.7× 421 1.0× 173 2.8k
Koiti Inokuchi 1.2k 1.1× 687 1.0× 742 1.1× 393 0.8× 300 0.7× 146 2.2k
Shin Fujisawa 1.1k 1.0× 560 0.8× 380 0.5× 291 0.6× 410 0.9× 182 2.2k
Piers Blombery 737 0.7× 874 1.2× 822 1.2× 646 1.3× 595 1.3× 119 2.4k
Norifumi Tsukamoto 821 0.8× 559 0.8× 381 0.5× 440 0.9× 704 1.6× 139 2.1k
Eeva Juvonen 1.6k 1.5× 1.1k 1.5× 526 0.8× 439 0.9× 274 0.6× 83 2.8k
Toshiko Motoji 1.5k 1.4× 699 1.0× 916 1.3× 399 0.8× 258 0.6× 121 2.6k

Countries citing papers authored by Roberto Cairoli

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Cairoli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roberto Cairoli

This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Cairoli. A scholar is included among the top collaborators of Roberto Cairoli 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 Roberto Cairoli. Roberto Cairoli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026