Roberto Chiarle

11.6k citations
149 papers · 7.9k · 2 hit papers · h-index 47

Impact in

Papers in

    • Ubiquitin and proteasome pathways 11
    • Cytokine Signaling Pathways and Interactions 14
    • CAR-T cell therapy research 11

Roberto Chiarle

146 papers receiving 7.7k citations

Roberto Chiarle's Hit Papers

Assessing and advancing the safety of CRISPR-Cas tools: from DNA to RNA editing 2023 · 119 citations
1190+6+12Years since publication200400600

Peers

Roberto Chiarle
Comparison fields: 5 of 127
  • Oncology 2.9k
  • Pathology and Forensic Medicine 1.8k
  • Immunology 1.5k
  • Cancer Research 1.1k
  • Molecular Biology 4.5k
Replace Ravindra Majeti with:
Ravindra Majeti United States
H. Berna Beverloo Netherlands
Edward R. Kastenhuber United States
Junwei Shi United States
Jarno Drost Netherlands
Paolo Vezzoni Italy
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Yun Wu United States
A. Malcolm R. Taylor United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Roberto Chiarle

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Roberto Chiarle Line = papers co-authored together Roberto Chiarle links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 149 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 →
2007643
2 2013353
3 2011352
4 2005349
5 2002303
6 2001251
7 2011220
8 2004198
9 2018188
10 2000185
11 2003183
12 2000161
13 2014152
14 1999139
15 2006133
16
Assessing and advancing the safety of CRISPR-Cas tools: from DNA to RNA editing
Hit paper breakdown →
2023119
17 2011117
18 2005103
19 2010101
20 2005101

About Roberto Chiarle

Roberto Chiarle is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Immunology and Genetics, having authored 149 papers that have together received 7.9k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (43 papers), Immune Cell Function and Interaction (19 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 (11 papers), Immunotherapy and Immune Responses (11 papers) and Ubiquitin and proteasome pathways (11 papers). The work is most often cited by research in Oncology (2.9k citations), Pathology and Forensic Medicine (1.8k citations), Immunology (1.5k citations), Cancer Research (1.1k citations) and Molecular Biology (4.5k citations). Roberto Chiarle has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Giorgio Inghirami, Chiara Ambrogio, Roberto Piva, Claudia Voena, Michele Pagano, David T. Levy, Monica Gostissa, Frederick W. Alt, Alberto Zamò and Giorgio Palestro. Their work appears in journals such as Blood, Cancer Research, Proceedings of the National Academy of Sciences, Nature Communications 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.

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