Pierfrancesco Tassone
- Hematology top 0.2%
- Multiple Myeloma Research and Treatments 94
- Cancer Research top 0.2%
- MicroRNA in disease regulation 36
- Oncology top 0.5%
- Cancer Immunotherapy and Biomarkers 33
- Colorectal Cancer Treatments and Studies 19
- Molecular Biology top 0.5%
- RNA Interference and Gene Delivery 39
- Advanced biosensing and bioanalysis techniques 21
- Protein Degradation and Inhibitors 19
- Immunology top 1%
-
- Cancer Mechanisms and Therapy 30
- Co-authors
- Pierosandro TagliaferriMaria Teresa Di MartinoNicola AmodioNikhil C. MunshiKenneth C. AndersonMichele CaragliaSalvatore VenutaMarco Rossi
- Cited by
- HematologyCancer ResearchOncology
- Journals
- Journal of Clinical Oncology (8 papers)SHILAP Revista de lepidopterología (3 papers)Blood (64 papers)
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Pierfrancesco Tassone
307 papers receiving 11.7k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Hematology 2.9k
- Cancer Research 3.8k
- Oncology 3.9k
- Molecular Biology 7.5k
- Immunology 1.6k
Countries citing papers authored by Pierfrancesco Tassone
This map shows the geographic impact of Pierfrancesco Tassone'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 Pierfrancesco Tassone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierfrancesco Tassone more than expected).
Fields of papers citing papers by Pierfrancesco Tassone
This network shows the impact of papers produced by Pierfrancesco Tassone. 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 Pierfrancesco Tassone. The network helps show where Pierfrancesco Tassone may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pierfrancesco Tassone, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 10 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 11 | |
| 8 | 2020 | 50 | |
| 9 | 2020 | 25 | |
| 10 | 2020 | 29 | |
| 11 | 2019 | 27 | |
| 12 | 2019 | 35 | |
| 13 | 2018 | 258 | |
| 14 | 2018 | 15 | |
| 15 | 2016 | 96 | |
| 16 | 2015 | 97 | |
| 17 | 2013 | 184 | |
| 18 | 2012 | 66 | |
| 19 | 2011 | 42 | |
| 20 | 2008 | 79 |
About Pierfrancesco Tassone
Pierfrancesco Tassone is a scholar working on Hematology, Cancer Research and Oncology, having authored 317 papers that have together received 11.8k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (94 papers), RNA Interference and Gene Delivery (39 papers), MicroRNA in disease regulation (36 papers), Cancer Immunotherapy and Biomarkers (33 papers), Cancer Mechanisms and Therapy (30 papers), Advanced biosensing and bioanalysis techniques (21 papers), Colorectal Cancer Treatments and Studies (19 papers) and Protein Degradation and Inhibitors (19 papers). The work is most often cited by research in Hematology (2.9k citations), Cancer Research (3.8k citations) and Oncology (3.9k citations). Pierfrancesco Tassone has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Pierosandro Tagliaferri, Maria Teresa Di Martino, Nicola Amodio, Nikhil C. Munshi, Kenneth C. Anderson, Michele Caraglia, Pierosandro Tagliaferri, Salvatore Venuta, Marco Rossi and Cirino Botta. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.
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.