Massimo Pini

5.1k citations
26 papers · 382 · h-index 10

Impact in

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

Papers in

    • Acute Myeloid Leukemia Research 5
    • Hematopoietic Stem Cell Transplantation 4
    • Chronic Myeloid Leukemia Treatments 3
    • Multiple Myeloma Research and Treatments 3
    • Chronic Lymphocytic Leukemia Research 10

Massimo Pini

24 papers receiving 375 citations

Peers

Massimo Pini
Comparison fields: 5 of 51
  • Genetics 119
  • Hematology 112
  • Pathology and Forensic Medicine 128
  • Immunology 115
  • Oncology 136
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Massimo Pini relative to Minami Yamada Japan Minami Yamada's profile →
Citations per field
00.5×
Minami Yamada · 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 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994101
2 199451
3 201351
4 199439
5 201134
6 201618
7 201518
8 201714
9 201710
10
Two new translocations involving the 11q23 region map outside the MLL locus in myeloid leukemias.
200210
11 20175
12 19945
13 19914
14 19914
15 20134
16 20203
17 20142
18
Prevention of bisphosphonates-induced osteonecrosis.
20072
19 20142
20 20251

About Massimo Pini

Massimo Pini is a scholar working on Hematology, Genetics, Pathology and Forensic Medicine, Oncology and Immunology, having authored 26 papers that have together received 382 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (10 papers), Lymphoma Diagnosis and Treatment (10 papers), Acute Myeloid Leukemia Research (5 papers), Immunodeficiency and Autoimmune Disorders (5 papers), Hematopoietic Stem Cell Transplantation (4 papers), Viral-associated cancers and disorders (3 papers), Chronic Myeloid Leukemia Treatments (3 papers) and Multiple Myeloma Research and Treatments (3 papers). The work is most often cited by research in Genetics (119 citations), Hematology (112 citations), Pathology and Forensic Medicine (128 citations), Immunology (115 citations) and Oncology (136 citations). Massimo Pini has collaborated with scholars based in Italy and Switzerland. Frequent co-authors include Robin Foà, Silvano Sozzani, PF di Celle, Antonino Carbone, Simona Zupo, Gian Marco De Marchis, Francesco Zallio, Dan Zhou, Alberto Mantovani and Alessandro Levis. Their work appears in journals such as Blood, Biology of Blood and Marrow Transplantation, Clinical Transplantation, Bone Marrow Transplantation and American Journal of Hematology.

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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