Carmen E. Perrone
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Biochemistry top 2%
Papers in
-
- Peroxisome Proliferator-Activated Receptors 4
- Physiology 13
- Adipose Tissue and Metabolism 10
- Diet and metabolism studies 4
- 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)Amany Elshorbagy (3 shared papers)Maria Valdivia‐Garcia (3 shared papers)
- Journals
- Archives of Toxicology (3 papers)Metabolism (3 papers)Toxicology and Applied Pharmacology (2 papers)Journal of Lipid Research (2 papers)GeroScience (1 paper)
- Partner nations
- United StatesItalyEgypt
In The Last Decade
Carmen E. Perrone
32 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 92
- Aging 163
- Biochemistry 177
- Physiology 524
- Rheumatology 270
- Cell Biology 241
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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 186 | |
| 2 | 2010 | 133 | |
| 3 | 1995 | 131 | |
| 4 | 2011 | 130 | |
| 5 | 2010 | 96 | |
| 6 | 2013 | 88 | |
| 7 | 2010 | 82 | |
| 8 | 2012 | 77 | |
| 9 | 2012 | 66 | |
| 10 | 2014 | 63 | |
| 11 | 1998 | 56 | |
| 12 | 2007 | 56 | |
| 13 | 1998 | 54 | |
| 14 | 2016 | 54 | |
| 15 | 2011 | 35 | |
| 16 | 1996 | 31 | |
| 17 | 2012 | 31 | |
| 18 | 2014 | 30 | |
| 19 | 2011 | 20 | |
| 20 | 2008 | 20 |
About Carmen E. Perrone
Carmen E. Perrone is a scholar working on Molecular Biology, Physiology, Cell Biology, Pediatrics, Perinatology and Child Health and Pharmacology, having authored 33 papers that have together received 1.6k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (10 papers), Birth, Development, and Health (6 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Muscle metabolism and nutrition (4 papers), Diet and metabolism studies (4 papers), Folate and B Vitamins Research (4 papers), Plant Pathogens and Fungal Diseases (3 papers) and Fungal Biology and Applications (3 papers). The work is most often cited by research in Aging (163 citations), Biochemistry (177 citations), Physiology (524 citations), Rheumatology (270 citations) and Cell Biology (241 citations). Carmen E. Perrone has collaborated with scholars based in United States, Italy and Egypt. Frequent co-authors include Norman Orentreich∥, David S. Orentreich, Dwight A.L. Mattocks, Jason D. Plummer, Gene P. Ables, Herman H. Vandenburgh, Amany Elshorbagy, Maria Valdivia‐Garcia, Helga Refsum and A. David Smith. Their work appears in journals such as Archives of Toxicology, Metabolism, Toxicology and Applied Pharmacology, Journal of Lipid Research and GeroScience.
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.