Massimo Labirio

1.0k citations
9 papers · 816 · h-index 9

Impact in

  • Oncology top 5%
    • Viral-associated cancers and disorders
    • Polyomavirus and related diseases
    • CAR-T cell therapy research

Papers in

    • Polyomavirus and related diseases 4
    • Viral-associated cancers and disorders 4
    • Hematopoietic Stem Cell Transplantation 4

Massimo Labirio

9 papers receiving 803 citations

Peers

Massimo Labirio
Comparison fields: 5 of 35
  • Oncology 627
  • Transplantation 44
  • Hematology 153
  • Immunology 252
  • Pathology and Forensic Medicine 154
Replace Jennifer A. Kanakry with:
Jennifer A. Kanakry United States
Giuliana Muti Italy
Joseph Alvarnas United States
Martin Göerner Germany
GB Vogelsang United States
Abhinav Deol United States
Pierre Péterlin France
Sridhar Chaganti United Kingdom
KJ Gajl-Peczalska United States
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Citations per field
00.5×1.5×
Jennifer A. Kanakry · 1×
Citations per year

Countries citing papers authored by Massimo Labirio

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Labirio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Massimo Labirio, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Massimo Labirio Line = papers co-authored together Massimo Labirio links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2005206
2 2002203
3 2007159
4 200497
5 200852
6 200738
7 199933
8 200620
9 19948

About Massimo Labirio

Massimo Labirio is a scholar working on Oncology, Hematology, Epidemiology, Immunology and Infectious Diseases, having authored 9 papers that have together received 816 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (4 papers), Polyomavirus and related diseases (4 papers), Viral-associated cancers and disorders (4 papers), Cytomegalovirus and herpesvirus research (3 papers), Immune Cell Function and Interaction (3 papers), Parvovirus B19 Infection Studies (2 papers), Full-Duplex Wireless Communications (1 paper) and Lymphoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Oncology (627 citations), Transplantation (44 citations), Hematology (153 citations), Immunology (252 citations) and Pathology and Forensic Medicine (154 citations). Massimo Labirio has collaborated with scholars based in Italy. Frequent co-authors include Rita Maccario, Patrizia Comoli, Sabrina Basso, Franco Locatelli, Fausto Baldanti, Antonia Moretta, Milena Furione, Fabrizio Ginevri, Daniela Montagna and Chiara Frasson. Their work appears in journals such as American Journal of Transplantation, Journal of Clinical Oncology, Bone Marrow Transplantation, Blood Cells Molecules and Diseases and Clinical & Experimental Immunology.

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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