Gian Matteo Pica

17 papers and 75 indexed citations i.

About

Gian Matteo Pica is a scholar working on Hematology, Genetics and Oncology. According to data from OpenAlex, Gian Matteo Pica has authored 17 papers receiving a total of 75 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Hematology, 6 papers in Genetics and 5 papers in Oncology. Recurrent topics in Gian Matteo Pica’s work include Acute Myeloid Leukemia Research (6 papers), Multiple Myeloma Research and Treatments (5 papers) and Chronic Myeloid Leukemia Treatments (5 papers). Gian Matteo Pica is often cited by papers focused on Acute Myeloid Leukemia Research (6 papers), Multiple Myeloma Research and Treatments (5 papers) and Chronic Myeloid Leukemia Treatments (5 papers). Gian Matteo Pica collaborates with scholars based in France, Italy and Belgium. Gian Matteo Pica's co-authors include Adalberto Ibatici, Nicola Cascavilla, Mario Petrini, Marzia Varettoni, Sara Galimberti, Alessandra Algarotti, Alessandro Corso, Patrizia Zappasodi, Elena Ciabatti and Barbara Botto and has published in prestigious journals such as Journal of Clinical Oncology, Blood and British Journal of Haematology.

In The Last Decade

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

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.

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).

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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