Sergio Comincini
Impact in
- Neurology top 5%
- Neurological diseases and metabolism
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Prion Diseases and Protein Misfolding 22
- Extracellular vesicles in disease 8
- Epidemiology 14
- Autophagy in Disease and Therapy 13
- Co-authors
- Silvia Palumbo (14 shared papers)Clelia Miracco (10 shared papers)Luigi Pirtoli (8 shared papers)Luca Ferretti (23 shared papers)Claudio Bandi (4 shared papers)Federico Manai (14 shared papers)V.M. Moretti (2 shared papers)F. Valfrè (2 shared papers)
- Journals
- Mammalian Genome (6 papers)Cells (5 papers)Animal Genetics (4 papers)International Journal of Molecular Sciences (4 papers)Journal of Cellular Physiology (4 papers)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Sergio Comincini
78 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 106
- Neurology 202
- Cancer Research 295
- Molecular Biology 1.0k
- Epidemiology 312
- Biophysics 58
Countries citing papers authored by Sergio Comincini
This map shows the geographic impact of Sergio Comincini'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 Sergio Comincini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergio Comincini more than expected).
Fields of papers citing papers by Sergio Comincini
This network shows the impact of papers produced by Sergio Comincini. 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 Sergio Comincini. The network helps show where Sergio Comincini may publish in the future.
Co-authors
The 25 scholars most cited alongside Sergio Comincini, 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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 146 | |
| 2 | 2001 | 107 | |
| 3 | 2012 | 86 | |
| 4 | 1995 | 80 | |
| 5 | 2019 | 71 | |
| 6 | 2012 | 63 | |
| 7 | 2001 | 57 | |
| 8 | 2021 | 57 | |
| 9 | 2014 | 56 | |
| 10 | 2013 | 52 | |
| 11 | 1993 | 49 | |
| 12 | 2011 | 46 | |
| 13 | 2001 | 45 | |
| 14 | 2014 | 44 | |
| 15 | 2001 | 40 | |
| 16 | 1996 | 37 | |
| 17 | 2016 | 35 | |
| 18 | 2019 | 34 | |
| 19 | 2016 | 31 | |
| 20 | 2003 | 31 |
About Sergio Comincini
Sergio Comincini is a scholar working on Molecular Biology, Epidemiology, Genetics, Cancer Research and Nutrition and Dietetics, having authored 79 papers that have together received 1.8k indexed citations. Recurring topics across this work include Prion Diseases and Protein Misfolding (22 papers), Autophagy in Disease and Therapy (13 papers), Neurological diseases and metabolism (9 papers), MicroRNA in disease regulation (9 papers), Trace Elements in Health (8 papers), Extracellular vesicles in disease (8 papers), Genetic and phenotypic traits in livestock (5 papers) and Genetic Mapping and Diversity in Plants and Animals (5 papers). The work is most often cited by research in Neurology (202 citations), Cancer Research (295 citations), Molecular Biology (1.0k citations), Epidemiology (312 citations) and Biophysics (58 citations). Sergio Comincini has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Silvia Palumbo, Clelia Miracco, Luigi Pirtoli, Luca Ferretti, Claudio Bandi, Federico Manai, V.M. Moretti, F. Valfrè, F. Bellagamba and Mayra Paolillo. Their work appears in journals such as Mammalian Genome, Cells, Animal Genetics, International Journal of Molecular Sciences and Journal of Cellular Physiology.
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.