Gian-Matteo Pica

47 total papers · 1.3k total citations
16 papers, 727 citations indexed

About

Gian-Matteo Pica is a scholar working on Hematology, Genetics and Molecular Biology. According to data from OpenAlex, Gian-Matteo Pica has authored 16 papers receiving a total of 727 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Hematology, 7 papers in Genetics and 5 papers in Molecular Biology. Recurrent topics in Gian-Matteo Pica's work include Chronic Lymphocytic Leukemia Research (5 papers), Multiple Myeloma Research and Treatments (4 papers) and Lymphoma Diagnosis and Treatment (3 papers). Gian-Matteo Pica is often cited by papers focused on Chronic Lymphocytic Leukemia Research (5 papers), Multiple Myeloma Research and Treatments (4 papers) and Lymphoma Diagnosis and Treatment (3 papers). Gian-Matteo Pica collaborates with scholars based in Italy, France and Switzerland. Gian-Matteo Pica's co-authors include Marzia Varettoni, Silvia Mangiacavalli, Alessandro Corso, Mario Lazzarino, C. Pascutto, Patrizia Zappasodi, Catherine Klersy, Antonio Spadea, Monia Lunghi and Pier Paolo Piccaluga and has published in prestigious journals such as Blood, Annals of Oncology and European Journal of Cancer.

In The Last Decade

Gian-Matteo Pica

15 papers receiving 712 citations

Author Peers

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

Author Last Decade Papers Cites
Gian-Matteo Pica 435 418 228 192 129 16 727
Marc Wetterwald 479 1.1× 480 1.1× 328 1.4× 204 1.1× 132 1.0× 16 866
Linda Y. Chak 160 0.4× 378 0.9× 95 0.4× 62 0.3× 83 0.6× 18 682
Maria‐Christina Kyrtsonis 445 1.0× 298 0.7× 259 1.1× 42 0.2× 252 2.0× 18 806
Harvey E. Finkel 171 0.4× 159 0.4× 93 0.4× 38 0.2× 226 1.8× 20 656
Alfonso Maria D’Arco 269 0.6× 265 0.6× 95 0.4× 201 1.0× 248 1.9× 27 818
Christos Kiamouris 440 1.0× 329 0.8× 279 1.2× 17 0.1× 284 2.2× 19 853
Paloma Bárcena 306 0.7× 194 0.5× 157 0.7× 49 0.3× 343 2.7× 24 852
Robert M. Bearman 155 0.4× 260 0.6× 82 0.4× 78 0.4× 256 2.0× 20 829
Ruth Langholm 336 0.8× 193 0.5× 83 0.4× 34 0.2× 246 1.9× 30 798
H van Kamp 483 1.1× 103 0.2× 266 1.2× 22 0.1× 145 1.1× 25 882

Countries citing papers authored by Gian-Matteo Pica

Since Specialization
Citations

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

Fields of papers citing papers by Gian-Matteo Pica

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gian-Matteo Pica. 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 Gian-Matteo Pica. The network helps show where Gian-Matteo Pica may publish in the future.

Co-authorship network of co-authors of Gian-Matteo Pica

This figure shows the co-authorship network connecting the top 25 collaborators of Gian-Matteo Pica. A scholar is included among the top collaborators of Gian-Matteo Pica 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 Gian-Matteo Pica. Gian-Matteo Pica 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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