E. Arrigoni
Impact in
Papers in
-
- Mitochondrial Function and Pathology 11
- Physiology 18
- Diet and metabolism studies 12
- Co-authors
- A.T. Brini (20 shared papers)Laura de Girolamo (13 shared papers)Silvia Lopa (7 shared papers)Romano Danesi (18 shared papers)G. Benzi (39 shared papers)Marzia Del Re (12 shared papers)Stefania Niada (9 shared papers)R. F. Villa (17 shared papers)
- Journals
- Journal of Pharmaceutical Sciences (11 papers)Biochemical Pharmacology (5 papers)Experimental Gerontology (3 papers)Epigenetics (2 papers)Stem Cells and Development (2 papers)
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
E. Arrigoni
89 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 124
- Genetics 487
- Urology 99
- Cancer Research 200
- Oncology 285
- Biomaterials 125
Countries citing papers authored by E. Arrigoni
This map shows the geographic impact of E. Arrigoni'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 E. Arrigoni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Arrigoni more than expected).
Fields of papers citing papers by E. Arrigoni
This network shows the impact of papers produced by E. Arrigoni. 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 E. Arrigoni. The network helps show where E. Arrigoni may publish in the future.
Co-authors
The 25 scholars most cited alongside E. Arrigoni, 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 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 210 | |
| 2 | 2009 | 119 | |
| 3 | 2009 | 105 | |
| 4 | 2009 | 94 | |
| 5 | Effects of oat gum on blood cholesterol levels in healthy young men. | 1995 | 62 |
| 6 | 2012 | 58 | |
| 7 | 2018 | 56 | |
| 8 | 2008 | 54 | |
| 9 | 2013 | 52 | |
| 10 | 2016 | 48 | |
| 11 | 2017 | 47 | |
| 12 | 2016 | 47 | |
| 13 | 1975 | 46 | |
| 14 | 1987 | 41 | |
| 15 | 2018 | 40 | |
| 16 | 2013 | 40 | |
| 17 | 2017 | 38 | |
| 18 | 2016 | 38 | |
| 19 | 2013 | 37 | |
| 20 | 2012 | 37 |
About E. Arrigoni
E. Arrigoni is a scholar working on Molecular Biology, Physiology, Genetics, Oncology and Clinical Biochemistry, having authored 98 papers that have together received 2.0k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (14 papers), Metabolism and Genetic Disorders (13 papers), Diet and metabolism studies (12 papers), Mitochondrial Function and Pathology (11 papers), Neuroscience and Neuropharmacology Research (9 papers), Antibiotics Pharmacokinetics and Efficacy (7 papers), Anesthesia and Neurotoxicity Research (6 papers) and Cancer Genomics and Diagnostics (5 papers). The work is most often cited by research in Genetics (487 citations), Urology (99 citations), Cancer Research (200 citations), Oncology (285 citations) and Biomaterials (125 citations). E. Arrigoni has collaborated with scholars based in Italy, United States and France. Frequent co-authors include A.T. Brini, Laura de Girolamo, Silvia Lopa, Romano Danesi, G. Benzi, Marzia Del Re, Stefania Niada, R. F. Villa, Antonello Di Paolo and Eleonora Rofi. Their work appears in journals such as Journal of Pharmaceutical Sciences, Biochemical Pharmacology, Experimental Gerontology, Epigenetics and Stem Cells and Development.
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.