Valerio Caputo
Impact in
- Ophthalmology top 5%
- Retinal Diseases and Treatments
- Dermatology top 10%
- Dermatology and Skin Diseases
Papers in
-
- Muscle Physiology and Disorders 7
- Congenital heart defects research 4
-
- SARS-CoV-2 and COVID-19 Research 6
- Co-authors
- Emiliano Giardina (43 shared papers)Raffaella Cascella (39 shared papers)Claudia Strafella (39 shared papers)Andrea Termine (22 shared papers)Giuseppe Novelli (11 shared papers)Carlo Caltagirone (19 shared papers)Stefania Zampatti (11 shared papers)Carlo Fabrizio (16 shared papers)
- Journals
- Journal of Personalized Medicine (7 papers)Genes (6 papers)International Journal of Molecular Sciences (4 papers)Frontiers in Neurology (4 papers)Frontiers in Genetics (3 papers)
- Partner nations
- ItalyAlbaniaUnited Kingdom
In The Last Decade
Valerio Caputo
47 papers receiving 717 citations
Peers
Comparison fields: 5 of 98
- Ophthalmology 74
- Dermatology 57
- Neurology 51
- Neurology 83
- Immunology 108
Countries citing papers authored by Valerio Caputo
This map shows the geographic impact of Valerio Caputo'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 Valerio Caputo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valerio Caputo more than expected).
Fields of papers citing papers by Valerio Caputo
This network shows the impact of papers produced by Valerio Caputo. 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 Valerio Caputo. The network helps show where Valerio Caputo may publish in the future.
Co-authors
The 25 scholars most cited alongside Valerio Caputo, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 69 | |
| 2 | 2020 | 60 | |
| 3 | 2017 | 55 | |
| 4 | 2020 | 49 | |
| 5 | 2017 | 36 | |
| 6 | 2015 | 35 | |
| 7 | 2021 | 32 | |
| 8 | 2021 | 28 | |
| 9 | 2020 | 28 | |
| 10 | 2021 | 27 | |
| 11 | 2021 | 22 | |
| 12 | 2019 | 18 | |
| 13 | 2020 | 16 | |
| 14 | 2021 | 15 | |
| 15 | 2022 | 15 | |
| 16 | 2019 | 14 | |
| 17 | 2020 | 14 | |
| 18 | 2021 | 12 | |
| 19 | 2021 | 11 | |
| 20 | 2019 | 10 |
About Valerio Caputo
Valerio Caputo is a scholar working on Molecular Biology, Infectious Diseases, Cellular and Molecular Neuroscience, Epidemiology and Genetics, having authored 50 papers that have together received 726 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (7 papers), Retinal Diseases and Treatments (6 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Cardiomyopathy and Myosin Studies (4 papers), Congenital heart defects research (4 papers), Genetic Neurodegenerative Diseases (4 papers), Nuclear Receptors and Signaling (4 papers) and Psoriasis: Treatment and Pathogenesis (4 papers). The work is most often cited by research in Ophthalmology (74 citations), Dermatology (57 citations), Neurology (51 citations), Neurology (83 citations) and Immunology (108 citations). Valerio Caputo has collaborated with scholars based in Italy, Albania and United Kingdom. Frequent co-authors include Emiliano Giardina, Raffaella Cascella, Claudia Strafella, Andrea Termine, Giuseppe Novelli, Carlo Caltagirone, Stefania Zampatti, Carlo Fabrizio, Stefania Gonfloni and Valentina Iannizzotto. Their work appears in journals such as Journal of Personalized Medicine, Genes, International Journal of Molecular Sciences, Frontiers in Neurology and Frontiers in Genetics.
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.