Carmen E. Perrone
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Biochemistry top 5%
Papers in
-
- Peroxisome Proliferator-Activated Receptors 4
-
- Adipose Tissue and Metabolism 6
- Diet and metabolism studies 3
- Co-authors
- Norman Orentreich∥ (8 shared papers)David S. Orentreich (6 shared papers)Dwight A.L. Mattocks (7 shared papers)Jason D. Plummer (6 shared papers)Gene P. Ables (4 shared papers)Herman H. Vandenburgh (2 shared papers)Maria Valdivia‐Garcia (3 shared papers)Helga Refsum (3 shared papers)
- Journals
- Metabolism (3 papers)Archives of Toxicology (3 papers)Journal of Lipid Research (2 papers)Toxicology and Applied Pharmacology (2 papers)European Journal of Cancer Prevention (1 paper)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Carmen E. Perrone
30 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 91
- Aging 156
- Biochemistry 153
- Physiology 471
- Rheumatology 227
- Cell Biology 216
Countries citing papers authored by Carmen E. Perrone
This map shows the geographic impact of Carmen E. Perrone'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 Carmen E. Perrone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carmen E. Perrone more than expected).
Fields of papers citing papers by Carmen E. Perrone
This network shows the impact of papers produced by Carmen E. Perrone. 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 Carmen E. Perrone. The network helps show where Carmen E. Perrone may publish in the future.
Co-authors
The 25 scholars most cited alongside Carmen E. Perrone, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 188 | |
| 2 | 1995 | 139 | |
| 3 | 2011 | 138 | |
| 4 | 2010 | 136 | |
| 5 | 2010 | 101 | |
| 6 | 2013 | 90 | |
| 7 | 2010 | 83 | |
| 8 | 2012 | 80 | |
| 9 | 2012 | 68 | |
| 10 | 1998 | 66 | |
| 11 | 2014 | 66 | |
| 12 | 2007 | 58 | |
| 13 | 2016 | 57 | |
| 14 | 1998 | 57 | |
| 15 | 2011 | 36 | |
| 16 | 2014 | 32 | |
| 17 | 2012 | 31 | |
| 18 | 1996 | 31 | |
| 19 | 2008 | 25 | |
| 20 | 2024 | 21 |
About Carmen E. Perrone
Carmen E. Perrone is a scholar working on Molecular Biology, Physiology, Cell Biology, Pharmacology and Pediatrics, Perinatology and Child Health, having authored 30 papers that have together received 1.6k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (6 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Folate and B Vitamins Research (3 papers), Muscle metabolism and nutrition (3 papers), Plant Pathogens and Fungal Diseases (3 papers), Fungal Biology and Applications (3 papers), Birth, Development, and Health (3 papers) and Diet and metabolism studies (3 papers). The work is most often cited by research in Aging (156 citations), Biochemistry (153 citations), Physiology (471 citations), Rheumatology (227 citations) and Cell Biology (216 citations). Carmen E. Perrone has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Norman Orentreich∥, David S. Orentreich, Dwight A.L. Mattocks, Jason D. Plummer, Gene P. Ables, Herman H. Vandenburgh, Maria Valdivia‐Garcia, Helga Refsum, Amany Elshorbagy and A. David Smith. Their work appears in journals such as Metabolism, Archives of Toxicology, Journal of Lipid Research, Toxicology and Applied Pharmacology and European Journal of Cancer Prevention.
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.