Mattia Barbareschi

11.1k citations
240 papers · 8.0k indexed · h-index 52

Mattia Barbareschi

228 papers receiving 7.8k citations

Peers

Mattia Barbareschi
Comparison fields: 5 of 157
  • Oncology 3.5k
  • Cancer Research 1.7k
  • Pulmonary and Respiratory Medicine 2.1k
  • Pathology and Forensic Medicine 852
  • Dermatology 408
Replace Paul J. Zhang with:
Paul J. Zhang United States
Peter A. McCue United States
Fernando Augusto Soares Brazil
Silvano Bòsari Italy
Harry Hollema Netherlands
Simone Mocellin Italy
Gene P. Siegal United States
Yung‐Ming Jeng Taiwan
James J. Going United Kingdom
Renato Franco Italy
Mattia Barbareschi relative to Paul J. Zhang United States Paul J. Zhang's profile →
Citations per field
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Paul J. Zhang · 1×
Citations per year

Countries citing papers authored by Mattia Barbareschi

Since Specialization
Citations

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

Fields of papers citing papers by Mattia Barbareschi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20232
4 202311
5 20235
6 202215
7 202017
8 2018124
9 201518
10
Small RNA molecules of great utility as diagnostic biomarkers in lung cancer
20131
11
A patch-released norelgestromin and ethinyl estradiol association in the treatment of papulo-pustular inflammatory acne
20052
12 200011
13 199815
14 19971
15 199692
16
L'isotretinoina sistemica nella terapia delle diverse forme di acne: Esperienza personale su indicazioni, schemi terapeutici e monitoraggio clinico e di laboratorio
19960
17 19953
18 199583
19 199432
20 199213

About Mattia Barbareschi

Mattia Barbareschi is a scholar working on Oncology, Cancer Research and Dermatology, having authored 240 papers that have together received 8.0k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (31 papers), Breast Cancer Treatment Studies (14 papers), Lung Cancer Treatments and Mutations (14 papers), Neuroendocrine Tumor Research Advances (14 papers), Cancer Genomics and Diagnostics (12 papers), HER2/EGFR in Cancer Research (12 papers), Neuroblastoma Research and Treatments (10 papers) and RNA modifications and cancer (10 papers). The work is most often cited by research in Oncology (3.5k citations), Cancer Research (1.7k citations) and Pulmonary and Respiratory Medicine (2.1k citations). Mattia Barbareschi has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Claudio Doglioni, Paolo Palma, Francesco Mauri, Orazio Caffo, Ettore Macrì, Salvatore Girlando, Elena Leonardi, Fiamma Buttitta, Patrizia Boracchi and Giulio Rossi. Their work appears in journals such as Nucleic Acids Research, Nature Communications and Journal of Clinical Oncology.

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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