Lorena Perrone
Impact in
- Clinical Biochemistry top 1%
- Advanced Glycation End Products research
- Biological Psychiatry top 10%
Papers in
-
- S100 Proteins and Annexins 6
- Mitochondrial Function and Pathology 4
- RNA and protein synthesis mechanisms 3
- Physiology 14
- Alzheimer's disease research and treatments 11
- Co-authors
- Lalit P. Singh (4 shared papers)Takhellambam S. Devi (3 shared papers)Tetsuya Terasaki (2 shared papers)Mariarosa Anna Beatrice Melone (10 shared papers)Ken‐ichi Hosoya (1 shared paper)Oualid Sbai (5 shared papers)Kelli A. Sullivan (1 shared paper)Eva L. Feldman (1 shared paper)
- Journals
- Biochemical Journal (2 papers)Endocrinology (2 papers)Nutrients (2 papers)Journal of Cellular Physiology (2 papers)Cancers (2 papers)
- Partner nations
- ItalyFranceUnited States
In The Last Decade
Lorena Perrone
42 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 112
- Clinical Biochemistry 307
- Biological Psychiatry 41
- Physiology 419
- Neurology 132
- Ophthalmology 114
Countries citing papers authored by Lorena Perrone
This map shows the geographic impact of Lorena 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 Lorena Perrone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorena Perrone more than expected).
Fields of papers citing papers by Lorena Perrone
This network shows the impact of papers produced by Lorena 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 Lorena Perrone. The network helps show where Lorena Perrone may publish in the future.
Co-authors
The 25 scholars most cited alongside Lorena 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 219 | |
| 2 | 2006 | 218 | |
| 3 | 2010 | 126 | |
| 4 | 2009 | 83 | |
| 5 | 2010 | 82 | |
| 6 | 2015 | 62 | |
| 7 | 2008 | 57 | |
| 8 | 2006 | 56 | |
| 9 | 2000 | 53 | |
| 10 | 2012 | 49 | |
| 11 | 2022 | 45 | |
| 12 | 2022 | 43 | |
| 13 | 1999 | 39 | |
| 14 | 2014 | 35 | |
| 15 | 2009 | 35 | |
| 16 | 2015 | 35 | |
| 17 | 2011 | 34 | |
| 18 | 2019 | 34 | |
| 19 | 2009 | 33 | |
| 20 | 1998 | 32 |
About Lorena Perrone
Lorena Perrone is a scholar working on Molecular Biology, Physiology, Clinical Biochemistry, Cellular and Molecular Neuroscience and Cell Biology, having authored 43 papers that have together received 1.6k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (11 papers), Advanced Glycation End Products research (11 papers), S100 Proteins and Annexins (6 papers), Mitochondrial Function and Pathology (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Genetic Neurodegenerative Diseases (3 papers), RNA and protein synthesis mechanisms (3 papers) and Parkinson's Disease Mechanisms and Treatments (3 papers). The work is most often cited by research in Clinical Biochemistry (307 citations), Biological Psychiatry (41 citations), Physiology (419 citations), Neurology (132 citations) and Ophthalmology (114 citations). Lorena Perrone has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Lalit P. Singh, Takhellambam S. Devi, Tetsuya Terasaki, Mariarosa Anna Beatrice Melone, Ken‐ichi Hosoya, Oualid Sbai, Kelli A. Sullivan, Eva L. Feldman, William B. Grant and Carey Backus. Their work appears in journals such as Biochemical Journal, Endocrinology, Nutrients, Journal of Cellular Physiology and Cancers.
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.