Paolo Nassi
Impact in
- Geriatrics and Gerontology top 2%
- Sirtuins and Resveratrol in Medicine
- Physiology top 10%
- Alzheimer's disease research and treatments
Papers in
- Cell Biology 17
- Muscle metabolism and nutrition 7
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- Enzyme function and inhibition 14
- Ion channel regulation and function 11
- Biochemical and Molecular Research 10
- Mitochondrial Function and Pathology 6
- Co-authors
- Claudia Fiorillo (28 shared papers)Chiara Nediani (32 shared papers)Gianfranco Liguri (31 shared papers)Niccolò Taddei (13 shared papers)Giampietro Ramponi (30 shared papers)Matteo Becatti (8 shared papers)Cristina Cecchi (12 shared papers)Niccolò Nassi (8 shared papers)
In The Last Decade
Paolo Nassi
76 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 105
- Geriatrics and Gerontology 121
- Physiology 350
- Molecular Biology 848
- Cell Biology 193
- Molecular Medicine 58
Countries citing papers authored by Paolo Nassi
This map shows the geographic impact of Paolo Nassi'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 Paolo Nassi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paolo Nassi more than expected).
Fields of papers citing papers by Paolo Nassi
This network shows the impact of papers produced by Paolo Nassi. 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 Paolo Nassi. The network helps show where Paolo Nassi may publish in the future.
Co-authors
The 25 scholars most cited alongside Paolo Nassi, 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 137 | |
| 2 | 2012 | 128 | |
| 3 | 2009 | 92 | |
| 4 | 1990 | 82 | |
| 5 | 2008 | 73 | |
| 6 | 2013 | 71 | |
| 7 | 2010 | 69 | |
| 8 | 1998 | 68 | |
| 9 | 2014 | 63 | |
| 10 | 2010 | 63 | |
| 11 | 2007 | 57 | |
| 12 | 1991 | 51 | |
| 13 | 2008 | 51 | |
| 14 | 1986 | 48 | |
| 15 | 2010 | 43 | |
| 16 | 2006 | 42 | |
| 17 | 1969 | 40 | |
| 18 | 1996 | 34 | |
| 19 | 1981 | 34 | |
| 20 | 2005 | 32 |
About Paolo Nassi
Paolo Nassi is a scholar working on Cell Biology, Molecular Biology, Physiology, Endocrinology, Diabetes and Metabolism and Pathology and Forensic Medicine, having authored 76 papers that have together received 1.9k indexed citations. Recurring topics across this work include Enzyme function and inhibition (14 papers), Ion channel regulation and function (11 papers), Biochemical and Molecular Research (10 papers), Alkaline Phosphatase Research Studies (9 papers), Cardiac Ischemia and Reperfusion (9 papers), Muscle metabolism and nutrition (7 papers), Mitochondrial Function and Pathology (6 papers) and Cardiac electrophysiology and arrhythmias (6 papers). The work is most often cited by research in Geriatrics and Gerontology (121 citations), Physiology (350 citations), Molecular Biology (848 citations), Cell Biology (193 citations) and Molecular Medicine (58 citations). Paolo Nassi has collaborated with scholars based in Italy, Spain and Pakistan. Frequent co-authors include Claudia Fiorillo, Chiara Nediani, Gianfranco Liguri, Niccolò Taddei, Giampietro Ramponi, Matteo Becatti, Cristina Cecchi, Niccolò Nassi, Sandro Sorbi and Stefania Latorraca. Their work appears in journals such as Archives of Biochemistry and Biophysics, Biochemical and Biophysical Research Communications, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, Journal of Molecular and Cellular Cardiology and Journal of Biological Chemistry.
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.