Massimo Labirio

1.0k total citations
9 papers, 816 citations indexed

About

Massimo Labirio is a scholar working on Oncology, Hematology and Epidemiology. According to data from OpenAlex, Massimo Labirio has authored 9 papers receiving a total of 816 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 4 papers in Hematology and 3 papers in Epidemiology. Recurrent topics in Massimo Labirio's work include Hematopoietic Stem Cell Transplantation (4 papers), Viral-associated cancers and disorders (4 papers) and Polyomavirus and related diseases (4 papers). Massimo Labirio is often cited by papers focused on Hematopoietic Stem Cell Transplantation (4 papers), Viral-associated cancers and disorders (4 papers) and Polyomavirus and related diseases (4 papers). Massimo Labirio collaborates with scholars based in Italy. Massimo Labirio's co-authors include Rita Maccario, Patrizia Comoli, Sabrina Basso, Franco Locatelli, Fausto Baldanti, Antonia Moretta, Milena Furione, Fabrizio Ginevri, Daniela Montagna and Chiara Frasson and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Transplantation.

In The Last Decade

Massimo Labirio

9 papers receiving 803 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Massimo Labirio Italy 9 627 252 219 154 153 9 816
Jennifer A. Kanakry United States 14 532 0.8× 195 0.8× 124 0.6× 306 2.0× 196 1.3× 51 769
Clare Taylor United States 8 751 1.2× 356 1.4× 204 0.9× 133 0.9× 69 0.5× 15 942
Sridhar Chaganti United Kingdom 18 617 1.0× 235 0.9× 135 0.6× 433 2.8× 138 0.9× 61 944
Don A. Stevens United States 15 469 0.7× 146 0.6× 80 0.4× 232 1.5× 223 1.5× 100 798
Meng‐Fen Wu United States 11 948 1.5× 581 2.3× 128 0.6× 317 2.1× 47 0.3× 16 1.1k
Mary Sartor Australia 14 184 0.3× 262 1.0× 241 1.1× 46 0.3× 348 2.3× 36 737
Ofrat Beyar‐Katz Israel 15 444 0.7× 179 0.7× 36 0.2× 69 0.4× 136 0.9× 41 755
Abhinav Deol United States 18 582 0.9× 281 1.1× 81 0.4× 74 0.5× 631 4.1× 114 1.1k
Nancy M. Hardy United States 15 426 0.7× 224 0.9× 42 0.2× 109 0.7× 374 2.4× 63 784
Teresita Lopez United States 6 672 1.1× 337 1.3× 201 0.9× 179 1.2× 60 0.4× 11 820

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-authorship network of co-authors of Massimo Labirio

This figure shows the co-authorship network connecting the top 25 collaborators of Massimo Labirio. A scholar is included among the top collaborators of Massimo Labirio 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 Labirio. Massimo Labirio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Lisini, Daniela, Marco Zecca, Giovanna Giorgiani, et al.. (2008). Donor/recipient mixed chimerism does not predict graft failure in children with  -thalassemia given an allogeneic cord blood transplant from an HLA-identical sibling. Haematologica. 93(12). 1859–1867. 52 indexed citations
2.
Comoli, Patrizia, Sabrina Basso, Marco Zecca, et al.. (2007). Preemptive Therapy of EBV-Related Lymphoproliferative Disease after Pediatric Haploidentical Stem Cell Transplantation. American Journal of Transplantation. 7(6). 1648–1655. 159 indexed citations
3.
Comoli, Patrizia, Sabrina Basso, Massimo Labirio, et al.. (2007). T cell therapy of Epstein–Barr virus and adenovirus infections after hemopoietic stem cell transplant. Blood Cells Molecules and Diseases. 40(1). 68–70. 38 indexed citations
4.
Comoli, Patrizia, Fabrizio Ginevri, Rita Maccario, et al.. (2006). Successful In Vitro Priming of EBV-Specific CD8+ T Cells Endowed with Strong Cytotoxic Function from T Cells of EBV-Seronegative Children. American Journal of Transplantation. 6(9). 2169–2176. 20 indexed citations
5.
Comoli, Patrizia, Paolo Pedrazzoli, Rita Maccario, et al.. (2005). Cell Therapy of Stage IV Nasopharyngeal Carcinoma With Autologous Epstein-Barr Virus–Targeted Cytotoxic T Lymphocytes. Journal of Clinical Oncology. 23(35). 8942–8949. 206 indexed citations
6.
Comoli, Patrizia, Alberta Azzi, Rita Maccario, et al.. (2004). Polyomavirus BK-Specific Immunity after Kidney Transplantation. Transplantation. 78(8). 1229–1232. 97 indexed citations
8.
Moretta, Antonia, Franco Locatelli, G Rondini, et al.. (1999). Characterisation of CTL directed towards non-inherited maternal alloantigens in human cord blood. Bone Marrow Transplantation. 24(11). 1161–1166. 33 indexed citations
9.
Comoli, Patrizia, Rita Maccario, Daniela Montagna, et al.. (1994). Expression of p75 chain of IL-2 receptor in the early immunological reconstitution after allogeneic bone marrow transplantation. Clinical & Experimental Immunology. 97(3). 510–516. 8 indexed citations

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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