Massimo Pini

5.1k citations
27 papers · 413 · h-index 11

Impact in

  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research
  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research

Papers in

Massimo Pini

25 papers receiving 402 citations

Peers

Massimo Pini
Comparison fields: 5 of 49
  • Genetics 114
  • Hematology 109
  • Pathology and Forensic Medicine 116
  • Immunology 107
  • Oncology 121
Replace Raúl Gabus with:
Raúl Gabus Uruguay
Minami Yamada Japan
JP Greer United States
Hajime Yasuda Japan
Jean‐Marc Schiano de Colella France
Morgan L. McLemore United States
Luk Cox Belgium
J. J. Sotto France
Lidija Čevreska North Macedonia
Abigail S. Kelliher United States
Massimo Pini relative to Raúl Gabus Uruguay Raúl Gabus's profile →
Citations per field
00.5×1.5×2×2.4×
Raúl Gabus · 1×
Citations per year

Countries citing papers authored by Massimo Pini

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Pini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Massimo Pini, 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 Pini Line = papers co-authored together Massimo Pini links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994105
2 199454
3 201352
4 199442
5 201137
6 201519
7 201618
8 201715
9
Two new translocations involving the 11q23 region map outside the MLL locus in myeloid leukemias.
200212
10 202111
11 201710
12 19946
13 20175
14 19914
15 19914
16 20134
17 20203
18
Prevention of bisphosphonates-induced osteonecrosis.
20073
19 20142
20 20142

About Massimo Pini

Massimo Pini is a scholar working on Hematology, Pathology and Forensic Medicine, Genetics, Oncology and Immunology, having authored 27 papers that have together received 413 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (10 papers), Chronic Lymphocytic Leukemia Research (9 papers), Immunodeficiency and Autoimmune Disorders (5 papers), Hematopoietic Stem Cell Transplantation (4 papers), Acute Myeloid Leukemia Research (4 papers), Viral-associated cancers and disorders (3 papers), Multiple Myeloma Research and Treatments (3 papers) and Systemic Lupus Erythematosus Research (2 papers). The work is most often cited by research in Genetics (114 citations), Hematology (109 citations), Pathology and Forensic Medicine (116 citations), Immunology (107 citations) and Oncology (121 citations). Massimo Pini has collaborated with scholars based in Italy, Denmark and Switzerland. Frequent co-authors include Robin Foà, Dan Zhou, PF di Celle, Simona Zupo, Gian Marco De Marchis, Silvano Sozzani, Alberto Mantovani, Francesco Zallio, Antonino Carbone and Alessandro Levis. Their work appears in journals such as Blood, Biology of Blood and Marrow Transplantation, The Lancet Rheumatology, Bone Marrow Transplantation and Clinical Transplantation.

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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