Claudio Arra

8.7k citations
162 papers · 6.6k · h-index 48

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Oncology top 2%

Papers in

    • RNA Research and Splicing 10
    • Peptidase Inhibition and Analysis 15
    • HER2/EGFR in Cancer Research 10

Claudio Arra

162 papers receiving 6.5k citations

Peers

Claudio Arra
Comparison fields: 5 of 142
  • Cancer Research 953
  • Oncology 1.4k
  • Molecular Biology 3.2k
  • Immunology 725
  • Endocrinology, Diabetes and Metabolism 466
Replace Antimo Migliaccio with:
Antimo Migliaccio Italy
Axel H. Schönthal United States
Jian Luo China
Kathleen L. Gabrielson United States
Peter Störz United States
Wei‐Chien Huang Taiwan
Lucia Morbidelli Italy
Vincent L. Cryns United States
Lucio Cocco Italy
Xueying Sun China
Claudio Arra relative to Antimo Migliaccio Italy Antimo Migliaccio's profile →
Citations per field
00.5×2.9×
Antimo Migliaccio · 1×
Citations per year

Countries citing papers authored by Claudio Arra

Since Specialization
Citations

This map shows the geographic impact of Claudio Arra'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 Claudio Arra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claudio Arra more than expected).

Fields of papers citing papers by Claudio Arra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Claudio Arra. 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 Claudio Arra. The network helps show where Claudio Arra may publish in the future.

Co-authors

The 25 scholars most cited alongside Claudio Arra, 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 Claudio Arra Line = papers co-authored together Claudio Arra links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 162 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998249
2 2010216
3 2006209
4 2018165
5 2018153
6 2015143
7 2004138
8 1995134
9 2012123
10 2005120
11 2017114
12 2017110
13 2009105
14 201597
15 201395
16 200594
17 201389
18 200688
19 200787
20 201985

About Claudio Arra

Claudio Arra is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Cellular and Molecular Neuroscience, having authored 162 papers that have together received 6.6k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (15 papers), Immunotherapy and Immune Responses (13 papers), Chemotherapy-induced cardiotoxicity and mitigation (12 papers), HER2/EGFR in Cancer Research (10 papers), RNA Research and Splicing (10 papers), Cancer-related molecular mechanisms research (10 papers), Immune Cell Function and Interaction (9 papers) and Protease and Inhibitor Mechanisms (8 papers). The work is most often cited by research in Cancer Research (953 citations), Oncology (1.4k citations), Molecular Biology (3.2k citations), Immunology (725 citations) and Endocrinology, Diabetes and Metabolism (466 citations). Claudio Arra has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Antônio Barbieri, Giuseppe Palma, Antonio Luciano, Domenica Rea, Alfredo Fusco, Maria Caterina Turco, Sabrina Bimonte, Aldo Giudice, Monica Fedele and Michele Caraglia. Their work appears in journals such as Oncotarget, Scientific Reports, BioMed Research International, PLoS ONE and Oncogene.

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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