C. Pascutto

11 total papers · 1.6k total citations
9 papers, 1.1k citations indexed

About

C. Pascutto is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, C. Pascutto has authored 9 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Hematology, 5 papers in Molecular Biology and 5 papers in Genetics. Recurrent topics in C. Pascutto's work include Acute Myeloid Leukemia Research (5 papers), Multiple Myeloma Research and Treatments (3 papers) and Hemoglobinopathies and Related Disorders (3 papers). C. Pascutto is often cited by papers focused on Acute Myeloid Leukemia Research (5 papers), Multiple Myeloma Research and Treatments (3 papers) and Hemoglobinopathies and Related Disorders (3 papers). C. Pascutto collaborates with scholars based in Italy, Germany and Japan. C. Pascutto's co-authors include Marzia Varettoni, Silvia Mangiacavalli, Alessandro Corso, Mario Lazzarino, Gian-Matteo Pica, Mario Lazzarino, Matteo Giovanni Della Porta, Luca Malcovati, Rosangela Invernizzi and Corinna Strupp and has published in prestigious journals such as Annals of Oncology, Haematologica and Bone Marrow Transplantation.

In The Last Decade

C. Pascutto

9 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
C. Pascutto 973 557 410 289 101 9 1.1k
S. Faderl 879 0.9× 394 0.7× 417 1.0× 241 0.8× 213 2.1× 24 1.2k
Sabine Knipp 1.2k 1.2× 534 1.0× 521 1.3× 140 0.5× 191 1.9× 20 1.4k
M. Schmidt 1.1k 1.2× 547 1.0× 459 1.1× 136 0.5× 141 1.4× 10 1.3k
Heather K. Schmidt 851 0.9× 458 0.8× 622 1.5× 179 0.6× 77 0.8× 14 1.4k
C López-Berges 1.3k 1.3× 400 0.7× 616 1.5× 341 1.2× 263 2.6× 20 1.4k
Sherry R. Pierce 908 0.9× 333 0.6× 488 1.2× 130 0.4× 219 2.2× 14 1.1k
JA Katzmann 977 1.0× 307 0.6× 400 1.0× 292 1.0× 83 0.8× 21 1.1k
WJ Miller 1.0k 1.0× 365 0.7× 273 0.7× 243 0.8× 178 1.8× 19 1.4k
G. Kettner 513 0.5× 337 0.6× 363 0.9× 301 1.0× 19 0.2× 17 976
JW Janssen 953 1.0× 248 0.4× 553 1.3× 216 0.7× 545 5.4× 18 1.4k

Countries citing papers authored by C. Pascutto

Since Specialization
Citations

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

Fields of papers citing papers by C. Pascutto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Pascutto

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