Matteo Bertelli
Impact in
- Biochemistry top 5%
- Ophthalmology top 5%
- Retinal Diseases and Treatments
Papers in
-
- Retinal Development and Disorders 27
- Genetics 33
- Nutrition, Genetics, and Disease 12
- Genomics and Rare Diseases 7
- Co-authors
- Tommaso Beccari (46 shared papers)K Dhuli (36 shared papers)Stefano Paolacci (43 shared papers)Elena Manara (31 shared papers)Aysha Karim Kiani (15 shared papers)Sandro Michelini (31 shared papers)Paolo Enrico Maltese (48 shared papers)Astrit Dautaj (27 shared papers)
- Journals
- International Journal of Molecular Sciences (9 papers)Genes (5 papers)Lymphatic Research and Biology (4 papers)Journal of Biotechnology (4 papers)European Journal of Medical Genetics (2 papers)
- Partner nations
- ItalyUnited StatesTürkiye
In The Last Decade
Matteo Bertelli
170 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 151
- Biochemistry 89
- Ophthalmology 112
- Physiology 332
- Reproductive Medicine 90
- Oncology 272
Countries citing papers authored by Matteo Bertelli
This map shows the geographic impact of Matteo Bertelli'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 Matteo Bertelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Bertelli more than expected).
Fields of papers citing papers by Matteo Bertelli
This network shows the impact of papers produced by Matteo Bertelli. 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 Matteo Bertelli. The network helps show where Matteo Bertelli may publish in the future.
Co-authors
The 25 scholars most cited alongside Matteo Bertelli, 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 178 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 196 | |
| 2 | 2022 | 98 | |
| 3 | 2020 | 98 | |
| 4 | 2020 | 78 | |
| 5 | 2022 | 68 | |
| 6 | 2022 | 66 | |
| 7 | 2020 | 49 | |
| 8 | 2021 | 48 | |
| 9 | 2018 | 44 | |
| 10 | 2021 | 43 | |
| 11 | 2022 | 38 | |
| 12 | 2019 | 35 | |
| 13 | 2022 | 35 | |
| 14 | 2018 | 33 | |
| 15 | 2019 | 33 | |
| 16 | 2019 | 31 | |
| 17 | 2019 | 30 | |
| 18 | 2020 | 29 | |
| 19 | 2021 | 28 | |
| 20 | 2019 | 28 |
About Matteo Bertelli
Matteo Bertelli is a scholar working on Molecular Biology, Genetics, Oncology, Physiology and Public Health, Environmental and Occupational Health, having authored 178 papers that have together received 2.3k indexed citations. Recurring topics across this work include Retinal Development and Disorders (27 papers), Lymphatic System and Diseases (22 papers), Diet and metabolism studies (13 papers), Nutrition, Genetics, and Disease (12 papers), Vascular Malformations and Hemangiomas (8 papers), Retinal Diseases and Treatments (8 papers), Nutritional Studies and Diet (7 papers) and Genomics and Rare Diseases (7 papers). The work is most often cited by research in Biochemistry (89 citations), Ophthalmology (112 citations), Physiology (332 citations), Reproductive Medicine (90 citations) and Oncology (272 citations). Matteo Bertelli has collaborated with scholars based in Italy, United States and Türkiye. Frequent co-authors include Tommaso Beccari, K Dhuli, Stefano Paolacci, Elena Manara, Aysha Karim Kiani, Sandro Michelini, Paolo Enrico Maltese, Astrit Dautaj, K Donato and Valeria Velluti. Their work appears in journals such as International Journal of Molecular Sciences, Genes, Lymphatic Research and Biology, Journal of Biotechnology and European Journal of Medical 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.