Rita Ferla
Impact in
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- Regulation of Appetite and Obesity
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Genetics 12
- Virus-based gene therapy research 11
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- Regulation of Appetite and Obesity 4
- Co-authors
- Eva Surmacz (9 shared papers)Sandra Cascio (3 shared papers)Antonio Dello Russo (3 shared papers)Viviana Bazan (3 shared papers)Aleco D’Andrea (2 shared papers)Alberto Auricchio (8 shared papers)Laszlo Jr Otvos (2 shared papers)Eliana Gulotta (1 shared paper)
- Journals
- Human Gene Therapy (4 papers)Molecular Therapy — Methods & Clinical Development (3 papers)Journal of Cellular Physiology (2 papers)Molecular Therapy (2 papers)Cell Reports Medicine (1 paper)
- Partner nations
- ItalyUnited StatesAustralia
In The Last Decade
Rita Ferla
22 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 86
- Endocrine and Autonomic Systems 147
- Cancer Research 264
- Genetics 353
- Physiology 199
- Molecular Biology 510
Countries citing papers authored by Rita Ferla
This map shows the geographic impact of Rita Ferla'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 Rita Ferla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rita Ferla more than expected).
Fields of papers citing papers by Rita Ferla
This network shows the impact of papers produced by Rita Ferla. 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 Rita Ferla. The network helps show where Rita Ferla may publish in the future.
Co-authors
The 25 scholars most cited alongside Rita Ferla, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 219 | |
| 2 | 2010 | 198 | |
| 3 | 2011 | 109 | |
| 4 | 2010 | 63 | |
| 5 | 2009 | 56 | |
| 6 | 2011 | 51 | |
| 7 | 2020 | 44 | |
| 8 | 2009 | 43 | |
| 9 | 2012 | 42 | |
| 10 | 2017 | 40 | |
| 11 | 2022 | 35 | |
| 12 | 2012 | 31 | |
| 13 | 2014 | 29 | |
| 14 | 2019 | 27 | |
| 15 | 2009 | 26 | |
| 16 | 2022 | 23 | |
| 17 | 2015 | 23 | |
| 18 | 2023 | 21 | |
| 19 | 2016 | 15 | |
| 20 | 2024 | 13 |
About Rita Ferla
Rita Ferla is a scholar working on Genetics, Endocrine and Autonomic Systems, Molecular Biology, Physiology and Oncology, having authored 22 papers that have together received 1.1k indexed citations. Recurring topics across this work include Virus-based gene therapy research (11 papers), CRISPR and Genetic Engineering (5 papers), Lysosomal Storage Disorders Research (5 papers), Regulation of Appetite and Obesity (4 papers), Cancer-related molecular mechanisms research (3 papers), Retinal Development and Disorders (3 papers), Cancer Cells and Metastasis (2 papers) and Trypanosoma species research and implications (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (147 citations), Cancer Research (264 citations), Genetics (353 citations), Physiology (199 citations) and Molecular Biology (510 citations). Rita Ferla has collaborated with scholars based in Italy, United States and Australia. Frequent co-authors include Eva Surmacz, Sandra Cascio, Antonio Dello Russo, Viviana Bazan, Aleco D’Andrea, Alberto Auricchio, Laszlo Jr Otvos, Eliana Gulotta, Gaetana Rinaldi and Valentina Calò. Their work appears in journals such as Human Gene Therapy, Molecular Therapy — Methods & Clinical Development, Journal of Cellular Physiology, Molecular Therapy and Cell Reports Medicine.
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.