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 12
- Acute Myeloid Leukemia Research 7
- Multiple Myeloma Research and Treatments 3
- Co-authors
- Donald P. Bottaro (9 shared papers)Gagani Athauda (2 shared papers)Lucio Luzzatto (5 shared papers)Rosario Notaro (6 shared papers)Marco Ruggiero (3 shared papers)Massimo Gulisano (3 shared papers)Stefania Pacini (4 shared papers)Terrence R. Burke (2 shared papers)
- Journals
- Blood (3 papers)Cancers (2 papers)Experimental Hematology (1 paper)Journal of Pharmacology and Experimental Therapeutics (1 paper)Journal of Medicinal Chemistry (1 paper)
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Benedetta Peruzzi
36 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 101
- Hepatology 174
- Cancer Research 175
- Hematology 116
- Physiology 44
- Biophysics 51
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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 370 | |
| 2 | 2010 | 91 | |
| 3 | 2006 | 82 | |
| 4 | 2013 | 69 | |
| 5 | 2005 | 64 | |
| 6 | 2020 | 57 | |
| 7 | 2008 | 56 | |
| 8 | 2015 | 50 | |
| 9 | 2003 | 49 | |
| 10 | 2009 | 48 | |
| 11 | 2004 | 42 | |
| 12 | 2012 | 37 | |
| 13 | 2013 | 31 | |
| 14 | 2003 | 30 | |
| 15 | 2020 | 28 | |
| 16 | 2021 | 24 | |
| 17 | 2017 | 22 | |
| 18 | 2006 | 18 | |
| 19 | 2022 | 13 | |
| 20 | 2008 | 12 |
About Benedetta Peruzzi
Benedetta Peruzzi is a scholar working on Molecular Biology, Hematology, Genetics, Immunology and Oncology, having authored 42 papers that have together received 1.3k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (7 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers), Liver physiology and pathology (5 papers), Complement system in diseases (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Multiple Myeloma Research and Treatments (3 papers), Eosinophilic Disorders and Syndromes (3 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Hepatology (174 citations), Cancer Research (175 citations), Hematology (116 citations), Physiology (44 citations) and Biophysics (51 citations). Benedetta Peruzzi has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Donald P. Bottaro, Gagani Athauda, Lucio Luzzatto, Rosario Notaro, Marco Ruggiero, Massimo Gulisano, Stefania Pacini, Terrence R. Burke, Alessio Giubellino and David J. Araten. Their work appears in journals such as Blood, Cancers, Experimental Hematology, Journal of Pharmacology and Experimental Therapeutics and Journal of Medicinal Chemistry.
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.