Roberto Chiarle
Impact in
- Oncology top 0.5%
- Cytokine Signaling Pathways and Interactions
- Cancer-related Molecular Pathways
- Pathology and Forensic Medicine top 0.5%
- Lymphoma Diagnosis and Treatment
Papers in
-
- Ubiquitin and proteasome pathways 11
- Oncology 52
- Cytokine Signaling Pathways and Interactions 14
- CAR-T cell therapy research 14
- Co-authors
- Giorgio Inghirami (33 shared papers)Chiara Ambrogio (32 shared papers)Claudia Voena (30 shared papers)Roberto Piva (14 shared papers)Michele Pagano (8 shared papers)David E. Levy (3 shared papers)Frederick W. Alt (9 shared papers)Monica Gostissa (7 shared papers)
- Journals
- Blood (15 papers)Cancer Research (9 papers)Proceedings of the National Academy of Sciences (5 papers)Nature (4 papers)Journal of Biological Chemistry (4 papers)
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Roberto Chiarle
148 papers receiving 8.1k citations
Roberto Chiarle's Hit Papers
Peers
Comparison fields: 5 of 129
- Oncology 2.8k
- Pathology and Forensic Medicine 1.7k
- Immunology 1.5k
- Cancer Research 994
- Molecular Biology 4.4k
Countries citing papers authored by Roberto Chiarle
This map shows the geographic impact of Roberto Chiarle'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 Roberto Chiarle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Chiarle more than expected).
Fields of papers citing papers by Roberto Chiarle
This network shows the impact of papers produced by Roberto Chiarle. 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 Roberto Chiarle. The network helps show where Roberto Chiarle may publish in the future.
Co-authors
The 25 scholars most cited alongside Roberto Chiarle, 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 153 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The anaplastic lymphoma kinase in the pathogenesis of cancer Hit paper breakdown → | 2007 | 685 |
| 2 | 2011 | 372 | |
| 3 | 2013 | 367 | |
| 4 | 2005 | 362 | |
| 5 | 2002 | 317 | |
| 6 | 2001 | 257 | |
| 7 | 2011 | 229 | |
| 8 | 2004 | 204 | |
| 9 | 2003 | 201 | |
| 10 | 2018 | 192 | |
| 11 | 2000 | 191 | |
| 12 | 2000 | 167 | |
| 13 | 2014 | 166 | |
| 14 | 1999 | 147 | |
| 15 | 2006 | 139 | |
| 16 | Assessing and advancing the safety of CRISPR-Cas tools: from DNA to RNA editing Hit paper breakdown → | 2023 | 132 |
| 17 | 2011 | 126 | |
| 18 | 2005 | 109 | |
| 19 | 2005 | 105 | |
| 20 | 2010 | 103 |
About Roberto Chiarle
Roberto Chiarle is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Immunology and Genetics, having authored 153 papers that have together received 8.3k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (43 papers), Immune Cell Function and Interaction (18 papers), Chronic Lymphocytic Leukemia Research (17 papers), Lung Cancer Treatments and Mutations (15 papers), Cytokine Signaling Pathways and Interactions (14 papers), CAR-T cell therapy research (14 papers), Ubiquitin and proteasome pathways (11 papers) and Immunotherapy and Immune Responses (10 papers). The work is most often cited by research in Oncology (2.8k citations), Pathology and Forensic Medicine (1.7k citations), Immunology (1.5k citations), Cancer Research (994 citations) and Molecular Biology (4.4k citations). Roberto Chiarle has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Giorgio Inghirami, Chiara Ambrogio, Claudia Voena, Roberto Piva, Michele Pagano, David E. Levy, Frederick W. Alt, Monica Gostissa, Alberto Zamò and Giorgio Palestro. Their work appears in journals such as Blood, Cancer Research, Proceedings of the National Academy of Sciences, Nature and Journal of Biological 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.