Massimo Iacobelli
Impact in
- Transplantation top 1%
- Renal Transplantation Outcomes and Treatments
- Hematology top 1%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
Papers in
- Hematology 34
- Hematopoietic Stem Cell Transplantation 13
- Multiple Myeloma Research and Treatments 11
- Acute Myeloid Leukemia Research 8
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- Renal Transplantation Outcomes and Treatments 4
- Co-authors
- Paul G. RichardsonTiziano BarbuiRobert J. SoifferDietger NiederwieserJoseph H. AntinTapani RuutuEnric CarrerasEva C. Guinan
- Journals
- Blood (19 papers)British Journal of Haematology (4 papers)Biology of Blood and Marrow Transplantation (3 papers)Haematologica (2 papers)Clinical Cancer Research (1 paper)
- Partner nations
- United StatesItalySpain
In The Last Decade
Massimo Iacobelli
52 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 90
- Transplantation 300
- Hematology 1.1k
- Nephrology 176
- Hepatology 183
- Immunology 422
Countries citing papers authored by Massimo Iacobelli
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 5 | |
| 2 | 2024 | 2 | |
| 3 | 2021 | 2 | |
| 4 | 2017 | 21 | |
| 5 | 2017 | 44 | |
| 6 | 2016 | 58 | |
| 7 | 2016 | 0 | |
| 8 | 2010 | 31 | |
| 9 | 2009 | 46 | |
| 10 | 2009 | 34 | |
| 11 | 2009 | 367 | |
| 12 | 2007 | 266 | |
| 13 | 2007 | 29 | |
| 14 | 2007 | 1 | |
| 15 | 2006 | 36 | |
| 16 | 2006 | 123 | |
| 17 | 2006 | 6 | |
| 18 | 2005 | 10 | |
| 19 | 2003 | 2 | |
| 20 | 2000 | 97 |
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.