Maria Nardelli
Impact in
- Hepatology top 10%
- Hepatitis C virus research
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- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Mitochondrial Function and Pathology
- RNA Research and Splicing
- Genomics and Phylogenetic Studies
Papers in
-
- RNA and protein synthesis mechanisms 7
- RNA modifications and cancer 5
- Mitochondrial Function and Pathology 5
- RNA Research and Splicing 4
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- Metabolism and Genetic Disorders 2
- Co-authors
- John E.G. McCarthy (3 shared papers)Bhuvanesh Dave (1 shared paper)Agoritsa Varaklioti (1 shared paper)Kevin D. Raney (1 shared paper)Apollonia Tullo (4 shared papers)F. Tanzariello (4 shared papers)Patrick Linder (1 shared paper)Cecilia Saccone (2 shared papers)
- Journals
- FEBS Letters (3 papers)Gene (1 paper)Journal of Biological Chemistry (1 paper)FEBS Journal (1 paper)Journal of Molecular Biology (1 paper)
- Partner nations
- ItalyUnited KingdomSwitzerland
In The Last Decade
Maria Nardelli
13 papers receiving 347 citations
Peers
Comparison fields: 5 of 57
- Hepatology 86
- Molecular Biology 240
- Clinical Biochemistry 21
- Structural Biology 4
- Virology 13
Countries citing papers authored by Maria Nardelli
This map shows the geographic impact of Maria Nardelli'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 Maria Nardelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Nardelli more than expected).
Fields of papers citing papers by Maria Nardelli
This network shows the impact of papers produced by Maria Nardelli. 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 Maria Nardelli. The network helps show where Maria Nardelli may publish in the future.
Co-authors
The 25 scholars most cited alongside Maria Nardelli, 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 | 2002 | 125 | |
| 2 | 2006 | 61 | |
| 3 | 1990 | 47 | |
| 4 | 1992 | 28 | |
| 5 | 1994 | 21 | |
| 6 | 2011 | 17 | |
| 7 | 2007 | 16 | |
| 8 | 1994 | 11 | |
| 9 | 1983 | 10 | |
| 10 | 2010 | 9 | |
| 11 | 2008 | 9 | |
| 12 | Structural and dynamic features of the eukaryotic translation initiation pathway | 2008 | 2 |
| 13 | 1988 | 2 |
About Maria Nardelli
Maria Nardelli is a scholar working on Molecular Biology, Clinical Biochemistry, Cellular and Molecular Neuroscience, Virology and History and Philosophy of Science, having authored 13 papers that have together received 358 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (7 papers), RNA modifications and cancer (5 papers), Mitochondrial Function and Pathology (5 papers), RNA Research and Splicing (4 papers), Metabolism and Genetic Disorders (2 papers), Electrochemical sensors and biosensors (1 paper), HIV Research and Treatment (1 paper) and Force Microscopy Techniques and Applications (1 paper). The work is most often cited by research in Hepatology (86 citations), Molecular Biology (240 citations), Clinical Biochemistry (21 citations), Structural Biology (4 citations) and Virology (13 citations). Maria Nardelli has collaborated with scholars based in Italy, United Kingdom and Switzerland. Frequent co-authors include John E.G. McCarthy, Bhuvanesh Dave, Agoritsa Varaklioti, Kevin D. Raney, Apollonia Tullo, F. Tanzariello, Patrick Linder, Cecilia Saccone, Elisabetta Sbisà and Cecilia Saccone. Their work appears in journals such as FEBS Letters, Gene, Journal of Biological Chemistry, FEBS Journal and Journal of Molecular Biology.
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.