Mattia Barbareschi
- Oncology top 0.5%
- Molecular Biology top 2%
- Pulmonary and Respiratory Medicine top 1%
- Cancer Research top 0.5%
- Surgery top 5%
- Co-authors
- Claudio DoglioniPaolo PalmaFrancesco MauriOrazio CaffoEttore MacrìSalvatore GirlandoElena LeonardiFiamma Buttitta
- Topics
- Cancer-related Molecular Pathways (31 papers)Breast Cancer Treatment Studies (14 papers)Lung Cancer Treatments and Mutations (14 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Mattia Barbareschi
228 papers receiving 7.8k citations
Peers
Comparison fields: 5 of 157
- Oncology 3.5k
- Molecular Biology 3.0k
- Pulmonary and Respiratory Medicine 2.1k
- Cancer Research 1.7k
- Surgery 993
Countries citing papers authored by Mattia Barbareschi
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
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 of co-authors of Mattia Barbareschi
This figure shows the co-authorship network connecting the top 25 collaborators of Mattia Barbareschi. A scholar is included among the top collaborators of Mattia Barbareschi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mattia Barbareschi. Mattia Barbareschi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 11 | |
| 5 | 5 | |
| 6 | 15 | |
| 7 | 17 | |
| 8 | 124 | |
| 9 | 18 | |
| 10 | Small RNA molecules of great utility as diagnostic biomarkers in lung cancer | 1 |
| 11 | A patch-released norelgestromin and ethinyl estradiol association in the treatment of papulo-pustular inflammatory acne | 2 |
| 12 | 11 | |
| 13 | 15 | |
| 14 | 1 | |
| 15 | 92 | |
| 16 | L'isotretinoina sistemica nella terapia delle diverse forme di acne: Esperienza personale su indicazioni, schemi terapeutici e monitoraggio clinico e di laboratorio | 0 |
| 17 | 3 | |
| 18 | 83 | |
| 19 | 32 | |
| 20 | 13 |
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) and Lung Cancer Treatments and Mutations (14 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.