Nicoletta Scheller
Impact in
- Hepatology top 10%
- Hepatitis C virus research
Papers in
-
- RNA modifications and cancer 3
- RNA Research and Splicing 3
- Extracellular vesicles in disease 3
- RNA and protein synthesis mechanisms 3
- RNA Interference and Gene Delivery 2
-
- Hepatitis B Virus Studies 2
- Cytomegalovirus and herpesvirus research 1
- Co-authors
- Juana Díez (7 shared papers)Andreas Meyerhans (8 shared papers)Rui Pedro Galão (3 shared papers)Leonardo Mina (2 shared papers)Amine Noueiry (1 shared paper)Ashwin Chari (1 shared paper)Utz Fischer (1 shared paper)Tanja Breinig (4 shared papers)
- Journals
- The Journal of Infectious Diseases (1 paper)Journal of Virology (1 paper)The FASEB Journal (1 paper)Journal of Hepatology (1 paper)Microbial Cell Factories (1 paper)
- Partner nations
- GermanySpainSwitzerland
In The Last Decade
Nicoletta Scheller
14 papers receiving 376 citations
Peers
Comparison fields: 5 of 58
- Hepatology 59
- Endocrinology 24
- Virology 21
- Molecular Biology 250
- Microbiology 21
Countries citing papers authored by Nicoletta Scheller
This map shows the geographic impact of Nicoletta Scheller'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 Nicoletta Scheller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicoletta Scheller more than expected).
Fields of papers citing papers by Nicoletta Scheller
This network shows the impact of papers produced by Nicoletta Scheller. 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 Nicoletta Scheller. The network helps show where Nicoletta Scheller may publish in the future.
Co-authors
The 25 scholars most cited alongside Nicoletta Scheller, 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 | 2009 | 115 | |
| 2 | 2007 | 51 | |
| 3 | 2018 | 44 | |
| 4 | 2007 | 37 | |
| 5 | 2012 | 29 | |
| 6 | 2017 | 26 | |
| 7 | 2019 | 22 | |
| 8 | 2006 | 18 | |
| 9 | 2011 | 14 | |
| 10 | 2013 | 9 | |
| 11 | 2007 | 8 | |
| 12 | 2011 | 3 | |
| 13 | 2012 | 3 | |
| 14 | 2019 | 2 |
About Nicoletta Scheller
Nicoletta Scheller is a scholar working on Molecular Biology, Epidemiology, Hepatology, Infectious Diseases and Cellular and Molecular Neuroscience, having authored 14 papers that have together received 381 indexed citations. Recurring topics across this work include Hepatitis C virus research (4 papers), RNA modifications and cancer (3 papers), RNA Research and Splicing (3 papers), Extracellular vesicles in disease (3 papers), RNA and protein synthesis mechanisms (3 papers), Hepatitis B Virus Studies (2 papers), RNA Interference and Gene Delivery (2 papers) and Cytomegalovirus and herpesvirus research (1 paper). The work is most often cited by research in Hepatology (59 citations), Endocrinology (24 citations), Virology (21 citations), Molecular Biology (250 citations) and Microbiology (21 citations). Nicoletta Scheller has collaborated with scholars based in Germany, Spain and Switzerland. Frequent co-authors include Juana Díez, Andreas Meyerhans, Rui Pedro Galão, Leonardo Mina, Amine Noueiry, Ashwin Chari, Utz Fischer, Tanja Breinig, Mireia Giménez‐Barcons and Gemma Pérez‐Vilaró. Their work appears in journals such as The Journal of Infectious Diseases, Journal of Virology, The FASEB Journal, Journal of Hepatology and Microbial Cell Factories.
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.