Gemma Perretta
Impact in
- Developmental Biology top 5%
- Animal Vocal Communication and Behavior
- Small Animals top 5%
- Animal Behavior and Welfare Studies
- Animal testing and alternatives
- Veterinary Pharmacology and Anesthesia
Papers in
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- Mitochondrial Function and Pathology 4
-
- Neuroscience and Neuropharmacology Research 7
- Co-authors
- Alfonso Troisi (2 shared papers)Gabriele Schino (2 shared papers)Alessandra Taglioni (3 shared papers)Vera Baumans (2 shared papers)Paul F. Brain (1 shared paper)Hubert Brugère (1 shared paper)Peter Clausing (1 shared paper)Patrizia Fattoretti (6 shared papers)
- Journals
- Annals of the New York Academy of Sciences (4 papers)The Journal of Gene Medicine (2 papers)Rejuvenation Research (2 papers)Stem Cell Reports (1 paper)Molecular Therapy (1 paper)
- Partner nations
- ItalyUnited StatesArgentina
In The Last Decade
Gemma Perretta
20 papers receiving 664 citations
Peers
Comparison fields: 5 of 92
- Developmental Biology 56
- Small Animals 123
- Behavioral Neuroscience 34
- Social Psychology 202
- Biotechnology 42
Countries citing papers authored by Gemma Perretta
This map shows the geographic impact of Gemma Perretta'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 Gemma Perretta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gemma Perretta more than expected).
Fields of papers citing papers by Gemma Perretta
This network shows the impact of papers produced by Gemma Perretta. 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 Gemma Perretta. The network helps show where Gemma Perretta may publish in the future.
Co-authors
The 25 scholars most cited alongside Gemma Perretta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 142 | |
| 2 | 1994 | 104 | |
| 3 | 1991 | 84 | |
| 4 | 2005 | 67 | |
| 5 | 2012 | 52 | |
| 6 | 2005 | 52 | |
| 7 | 2014 | 29 | |
| 8 | 2005 | 25 | |
| 9 | 2018 | 22 | |
| 10 | 1991 | 19 | |
| 11 | 2012 | 19 | |
| 12 | 2006 | 15 | |
| 13 | 2009 | 14 | |
| 14 | 2007 | 13 | |
| 15 | 2007 | 9 | |
| 16 | 2008 | 8 | |
| 17 | 2007 | 7 | |
| 18 | 2016 | 7 | |
| 19 | 1992 | 3 | |
| 20 | 2016 | 1 |
About Gemma Perretta
Gemma Perretta is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Physiology and Small Animals, having authored 20 papers that have together received 692 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (7 papers), Alzheimer's disease research and treatments (5 papers), Mitochondrial Function and Pathology (4 papers), Memory and Neural Mechanisms (3 papers), Primate Behavior and Ecology (3 papers), Neuroendocrine regulation and behavior (2 papers), Microbial Inactivation Methods (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Developmental Biology (56 citations), Small Animals (123 citations), Behavioral Neuroscience (34 citations), Social Psychology (202 citations) and Biotechnology (42 citations). Gemma Perretta has collaborated with scholars based in Italy, United States and Argentina. Frequent co-authors include Alfonso Troisi, Gabriele Schino, Alessandra Taglioni, Vera Baumans, Paul F. Brain, Hubert Brugère, Peter Clausing, Patrizia Fattoretti, Marta Balietti and Carlo Bertoni–Freddari. Their work appears in journals such as Annals of the New York Academy of Sciences, The Journal of Gene Medicine, Rejuvenation Research, Stem Cell Reports and Molecular Therapy.
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.