Massimo Martino

381 total papers · 3.3k total citations
151 papers, 1.7k citations indexed

About

Massimo Martino is a scholar working on Hematology, Oncology and Molecular Biology. According to data from OpenAlex, Massimo Martino has authored 151 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Hematology, 65 papers in Oncology and 23 papers in Molecular Biology. Recurrent topics in Massimo Martino's work include Hematopoietic Stem Cell Transplantation (63 papers), Multiple Myeloma Research and Treatments (42 papers) and Acute Myeloid Leukemia Research (19 papers). Massimo Martino is often cited by papers focused on Hematopoietic Stem Cell Transplantation (63 papers), Multiple Myeloma Research and Treatments (42 papers) and Acute Myeloid Leukemia Research (19 papers). Massimo Martino collaborates with scholars based in Italy, United States and France. Massimo Martino's co-authors include Fortunato Morabito, Giuseppe Messina, Giuseppe Irrera, Giuseppe Console, Pasquale Iacopino, Roberta Fedele, Tiziana Moscato, Massimo Gentile, Giovanni Martinelli and Giulia Pucci and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Massimo Martino

139 papers receiving 1.7k citations

Author Peers

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

Author Last Decade Papers Cites
Massimo Martino 1.1k 746 426 244 220 151 1.7k
Siddhartha Ganguly 607 0.5× 766 1.0× 604 1.4× 205 0.8× 215 1.0× 138 1.6k
Taiga Nishihori 979 0.9× 740 1.0× 386 0.9× 342 1.4× 229 1.0× 169 1.7k
Sunil Abhyankar 1.2k 1.1× 478 0.6× 449 1.1× 555 2.3× 342 1.6× 140 1.9k
Binod Dhakal 1.1k 1.0× 828 1.1× 776 1.8× 218 0.9× 180 0.8× 159 1.8k
Paul Shaughnessy 1.3k 1.2× 506 0.7× 272 0.6× 495 2.0× 269 1.2× 84 1.7k
Dao‐Pei Lu 787 0.7× 580 0.8× 331 0.8× 352 1.4× 137 0.6× 124 1.5k
H. Kronenberg 831 0.8× 254 0.3× 286 0.7× 225 0.9× 314 1.4× 125 1.9k
Joon Ho Moon 789 0.7× 548 0.7× 641 1.5× 211 0.9× 278 1.3× 173 1.9k
Belinda R. Avalos 1.0k 0.9× 777 1.0× 386 0.9× 706 2.9× 226 1.0× 98 2.1k
Katsuji Shinagawa 813 0.7× 547 0.7× 590 1.4× 429 1.8× 261 1.2× 108 1.9k

Countries citing papers authored by Massimo Martino

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Martino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo Martino

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