Massimo Iacobelli

3.7k citations
54 papers · 1.9k indexed · h-index 19

Impact in

    • Renal Transplantation Outcomes and Treatments
  • Hematology top 1%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research

Papers in

    • Hematopoietic Stem Cell Transplantation 13
    • Multiple Myeloma Research and Treatments 11
    • Acute Myeloid Leukemia Research 8
    • Renal Transplantation Outcomes and Treatments 4

Massimo Iacobelli

52 papers receiving 1.8k citations

Peers

Massimo Iacobelli
Comparison fields: 5 of 90
  • Transplantation 300
  • Hematology 1.1k
  • Nephrology 176
  • Hepatology 183
  • Immunology 422
Replace David Sutton with:
David Sutton Canada
Luke Coyle Australia
Jolanta Kowalewska United States
Rudolf Pihusch Germany
Robert S. Makar United States
Nancy A. Turner United States
Rocco Misiani Italy
Sally Self United States
Erasmia Psimenou Greece
François Provôt France
Massimo Iacobelli relative to David Sutton Canada David Sutton's profile →
Citations per field
00.5×6.7×
David Sutton · 1×
Citations per year

Countries citing papers authored by Massimo Iacobelli

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Iacobelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20245
2 20242
3 20212
4 201721
5 201744
6 201658
7 20160
8 201031
9 200946
10 200934
11 2009367
12 2007266
13 200729
14 20071
15 200636
16 2006123
17 20066
18 200510
19 20032
20 200097

About Massimo Iacobelli

Massimo Iacobelli is a scholar working on Hematology, Transplantation, Nephrology, Genetics and Oncology, having authored 54 papers that have together received 1.9k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (13 papers), Multiple Myeloma Research and Treatments (11 papers), Acute Myeloid Leukemia Research (8 papers), Cancer Treatment and Pharmacology (6 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), Proteoglycans and glycosaminoglycans research (5 papers), Renal Transplantation Outcomes and Treatments (4 papers) and COVID-19 Clinical Research Studies (4 papers). The work is most often cited by research in Transplantation (300 citations), Hematology (1.1k citations), Nephrology (176 citations), Hepatology (183 citations) and Immunology (422 citations). Massimo Iacobelli has collaborated with scholars based in United States, Italy and Spain. Frequent co-authors include Paul G. Richardson, Tiziano Barbui, Robert J. Soiffer, Dietger Niederwieser, Joseph H. Antin, Tapani Ruutu, Enric Carreras, Eva C. Guinan, Amrita Krishnan and Nancy A. Kernan. Their work appears in journals such as Blood, British Journal of Haematology, Biology of Blood and Marrow Transplantation, Haematologica and Clinical Cancer Research.

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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