R Perego
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- Cancer Genomics and Diagnostics
- Cancer, Lipids, and Metabolism
- Hematology top 5%
- Chronic Myeloid Leukemia Treatments
Papers in
-
- Renal and related cancers 8
- Heat shock proteins research 4
-
- Renal cell carcinoma treatment 9
- Co-authors
- Cristina Bianchi (32 shared papers)Silvia Bombelli (19 shared papers)B Torsello (15 shared papers)Gary D. Kruh (2 shared papers)Giuseppe Lucarelli (5 shared papers)T Miki (1 shared paper)S A Aaronson (1 shared paper)G Strada (7 shared papers)
- Journals
- American Journal Of Pathology (4 papers)PROTEOMICS (3 papers)European Journal of Cancer (3 papers)The Journals of Gerontology Series A (2 papers)Molecular BioSystems (2 papers)
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
R Perego
49 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 84
- Cancer Research 422
- Hematology 230
- Pulmonary and Respiratory Medicine 547
- Molecular Biology 900
- Genetics 120
Countries citing papers authored by R Perego
This map shows the geographic impact of R Perego'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 R Perego with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R Perego more than expected).
Fields of papers citing papers by R Perego
This network shows the impact of papers produced by R Perego. 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 R Perego. The network helps show where R Perego may publish in the future.
Co-authors
The 25 scholars most cited alongside R Perego, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 235 | |
| 2 | 2018 | 177 | |
| 3 | 1990 | 141 | |
| 4 | 2017 | 140 | |
| 5 | 2020 | 101 | |
| 6 | 2008 | 67 | |
| 7 | 2020 | 66 | |
| 8 | 2004 | 63 | |
| 9 | 2022 | 60 | |
| 10 | 2000 | 52 | |
| 11 | 2010 | 45 | |
| 12 | 2008 | 36 | |
| 13 | 2016 | 36 | |
| 14 | Arg encodes a widely expressed 145 kDa protein-tyrosine kinase. | 1991 | 36 |
| 15 | 2005 | 31 | |
| 16 | 2012 | 30 | |
| 17 | 2017 | 30 | |
| 18 | 2010 | 29 | |
| 19 | 2013 | 28 | |
| 20 | 2008 | 27 |
About R Perego
R Perego is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Hematology, Cancer Research and Genetics, having authored 50 papers that have together received 1.7k indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (9 papers), Renal and related cancers (8 papers), Chronic Myeloid Leukemia Treatments (8 papers), Chronic Lymphocytic Leukemia Research (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), Advanced Proteomics Techniques and Applications (4 papers), Heat shock proteins research (4 papers) and Cancer Genomics and Diagnostics (4 papers). The work is most often cited by research in Cancer Research (422 citations), Hematology (230 citations), Pulmonary and Respiratory Medicine (547 citations), Molecular Biology (900 citations) and Genetics (120 citations). R Perego has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Cristina Bianchi, Silvia Bombelli, B Torsello, Gary D. Kruh, Giuseppe Lucarelli, T Miki, S A Aaronson, G Strada, Ingrid Cifola and Giorgio Bovo. Their work appears in journals such as American Journal Of Pathology, PROTEOMICS, European Journal of Cancer, The Journals of Gerontology Series A and Molecular BioSystems.
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.