Benedetta Peruzzi
Impact in
- Hepatology top 5%
- Liver physiology and pathology
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 4
- Hematology 13
- Acute Myeloid Leukemia Research 7
- Blood groups and transfusion 3
- Co-authors
- Donald P. Bottaro (8 shared papers)Gagani Athauda (2 shared papers)Rosario Notaro (6 shared papers)Lucio Luzzatto (5 shared papers)Marco Ruggiero (3 shared papers)Massimo Gulisano (3 shared papers)Stefania Pacini (4 shared papers)Alessio Giubellino (2 shared papers)
- Journals
- Blood (3 papers)Clinical Cancer Research (1 paper)Immunology (1 paper)Frontiers in Immunology (1 paper)Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics (1 paper)
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Benedetta Peruzzi
34 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 102
- Hepatology 178
- Cancer Research 186
- Hematology 122
- Physiology 42
- Molecular Biology 612
Countries citing papers authored by Benedetta Peruzzi
This map shows the geographic impact of Benedetta Peruzzi'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 Benedetta Peruzzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benedetta Peruzzi more than expected).
Fields of papers citing papers by Benedetta Peruzzi
This network shows the impact of papers produced by Benedetta Peruzzi. 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 Benedetta Peruzzi. The network helps show where Benedetta Peruzzi may publish in the future.
Co-authors
The 25 scholars most cited alongside Benedetta Peruzzi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 349 | |
| 2 | 2010 | 84 | |
| 3 | 2006 | 73 | |
| 4 | 2013 | 65 | |
| 5 | 2005 | 60 | |
| 6 | 2020 | 56 | |
| 7 | 2008 | 55 | |
| 8 | 2015 | 50 | |
| 9 | 2009 | 47 | |
| 10 | 2003 | 44 | |
| 11 | 2004 | 41 | |
| 12 | 2012 | 37 | |
| 13 | 2013 | 29 | |
| 14 | 2003 | 27 | |
| 15 | 2020 | 27 | |
| 16 | 2021 | 23 | |
| 17 | 2017 | 19 | |
| 18 | 2006 | 17 | |
| 19 | 2022 | 11 | |
| 20 | 2013 | 10 |
About Benedetta Peruzzi
Benedetta Peruzzi is a scholar working on Molecular Biology, Hematology, Immunology, Genetics and Oncology, having authored 38 papers that have together received 1.2k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (7 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Liver physiology and pathology (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Complement system in diseases (4 papers), Eosinophilic Disorders and Syndromes (3 papers), Blood groups and transfusion (3 papers) and Cytokine Signaling Pathways and Interactions (2 papers). The work is most often cited by research in Hepatology (178 citations), Cancer Research (186 citations), Hematology (122 citations), Physiology (42 citations) and Molecular Biology (612 citations). Benedetta Peruzzi has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Donald P. Bottaro, Gagani Athauda, Rosario Notaro, Lucio Luzzatto, Marco Ruggiero, Massimo Gulisano, Stefania Pacini, Alessio Giubellino, Terrence R. Burke and David J. Araten. Their work appears in journals such as Blood, Clinical Cancer Research, Immunology, Frontiers in Immunology and Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics.
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.