Sergio Nasi
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Molecular Biology top 5%
- Protein Degradation and Inhibitors
- Ubiquitin and proteasome pathways
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- Cancer-related gene regulation
- Genomics and Chromatin Dynamics
Papers in
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- MicroRNA in disease regulation 4
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- Ubiquitin and proteasome pathways 8
- Cancer-related gene regulation 8
- Epigenetics and DNA Methylation 5
- RNA modifications and cancer 5
- Glycosylation and Glycoproteins Research 3
- Co-authors
- Laura SoucekGérard I. EvanRichard JuckerLamorna Brown SwigartJonathan R. WhitfieldNicole M. SodirCarla P. MartinsDaniel J. Murphy
- Journals
- Scientific Reports (3 papers)Proceedings of the National Academy of Sciences (3 papers)FEBS Letters (2 papers)Oncotarget (2 papers)Oncogene (2 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Sergio Nasi
39 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Cancer Research 425
- Molecular Biology 1.8k
- Oncology 562
- Genetics 117
- Cell Biology 147
Countries citing papers authored by Sergio Nasi
This map shows the geographic impact of Sergio Nasi'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 Nasi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergio Nasi more than expected).
Fields of papers citing papers by Sergio Nasi
This network shows the impact of papers produced by Sergio Nasi. 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 Nasi. The network helps show where Sergio Nasi may publish in the future.
Co-authors
The 25 scholars most cited alongside Sergio Nasi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 5 | |
| 2 | 2023 | 11 | |
| 3 | 2023 | 5 | |
| 4 | 2019 | 29 | |
| 5 | 2016 | 51 | |
| 6 | 2015 | 37 | |
| 7 | 2014 | 27 | |
| 8 | 2014 | 145 | |
| 9 | 2012 | 57 | |
| 10 | 2011 | 101 | |
| 11 | Modelling Myc inhibition as a cancer therapy Hit paper breakdown → | 2008 | 644 |
| 12 | 2006 | 46 | |
| 13 | 2004 | 61 | |
| 14 | 2004 | 2 | |
| 15 | 2003 | 23 | |
| 16 | 2001 | 108 | |
| 17 | 1998 | 169 | |
| 18 | 1997 | 30 | |
| 19 | 1995 | 22 | |
| 20 | 1976 | 17 |
About Sergio Nasi
Sergio Nasi is a scholar working on Cancer Research, Molecular Biology, Oncology, Genetics and Cell Biology, having authored 39 papers that have together received 2.2k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (8 papers), Cancer-related gene regulation (8 papers), Epigenetics and DNA Methylation (5 papers), RNA modifications and cancer (5 papers), MicroRNA in disease regulation (4 papers), Cancer-related Molecular Pathways (4 papers), Nerve injury and regeneration (4 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Cancer Research (425 citations), Molecular Biology (1.8k citations), Oncology (562 citations), Genetics (117 citations) and Cell Biology (147 citations). Sergio Nasi has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Laura Soucek, Gérard I. Evan, Richard Jucker, Lamorna Brown Swigart, Jonathan R. Whitfield, Nicole M. Sodir, Carla P. Martins, Daniel J. Murphy, Andrew J. Finch and Anthony N. Karnezis. Their work appears in journals such as Scientific Reports, Proceedings of the National Academy of Sciences, FEBS Letters, Oncotarget and Oncogene.
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.