Francesco Passamonti
- Genetics top 0.01%
- Hematology top 0.01%
- Molecular Biology top 0.5%
- Rheumatology top 0.05%
- Oncology top 2%
- Co-authors
- Mario CazzolaAlessandro M. VannucchiElisa RumiAyalew TefferiFrancisco CervantesRóbert KrálovicsRadek C. SkodaMario Lazzarino
- Topics
- Myeloproliferative Neoplasms: Diagnosis and Treatment (261 papers)Chronic Myeloid Leukemia Treatments (107 papers)Acute Myeloid Leukemia Research (100 papers)
- Cited by
- GeneticsHematologyRheumatology
- Journals
- New England Journal of MedicineJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Francesco Passamonti
307 papers receiving 17.0k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Genetics 14.9k
- Hematology 11.3k
- Molecular Biology 8.6k
- Rheumatology 5.8k
- Oncology 1.6k
Countries citing papers authored by Francesco Passamonti
This map shows the geographic impact of Francesco Passamonti'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 Francesco Passamonti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Passamonti more than expected).
Fields of papers citing papers by Francesco Passamonti
This network shows the impact of papers produced by Francesco Passamonti. 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 Francesco Passamonti. The network helps show where Francesco Passamonti may publish in the future.
Co-authorship network of co-authors of Francesco Passamonti
This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Passamonti. A scholar is included among the top collaborators of Francesco Passamonti 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 Francesco Passamonti. Francesco Passamonti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 11 | |
| 3 | 11 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 7 | |
| 7 | 2 | |
| 8 | 12 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 24 | |
| 12 | 44 | |
| 13 | 16 | |
| 14 | 40 | |
| 15 | 8 | |
| 16 | 13 | |
| 17 | 30 | |
| 18 | 93 | |
| 19 | 24 | |
| 20 | DIPSS Plus: A Refined Dynamic International Prognostic Scoring System for Primary Myelofibrosis That Incorporates Prognostic Information From Karyotype, Platelet Count, and Transfusion Statusbreakdown → | 657 |
About Francesco Passamonti
Francesco Passamonti is a scholar working on Genetics, Hematology and Rheumatology, having authored 316 papers that have together received 17.3k indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (261 papers), Chronic Myeloid Leukemia Treatments (107 papers) and Acute Myeloid Leukemia Research (100 papers). The work is most often cited by research in Genetics (14.9k citations), Hematology (11.3k citations) and Rheumatology (5.8k citations). Francesco Passamonti has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Mario Cazzola, Alessandro M. Vannucchi, Elisa Rumi, Ayalew Tefferi, Francisco Cervantes, Róbert Královics, Radek C. Skoda, Mario Lazzarino, André Tichelli and Andreas Buser. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.