Rita Ferla
Impact in
-
- Regulation of Appetite and Obesity
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- FOXO transcription factor regulation 2
- Genetics 7
- Virus-based gene therapy research 6
- Co-authors
- Eva Surmacz (9 shared papers)Viviana Bazan (3 shared papers)Sandra Cascio (3 shared papers)Antonio Russo (3 shared papers)Aleco D’Andrea (2 shared papers)Alberto Auricchio (8 shared papers)László Ötvös (2 shared papers)Eliana Gulotta (1 shared paper)
- Journals
- Human Gene Therapy (4 papers)Molecular Therapy — Methods & Clinical Development (2 papers)Molecular Therapy (2 papers)Journal of Cellular Physiology (2 papers)European Journal of Cancer (1 paper)
- Partner nations
- ItalyUnited StatesHungary
In The Last Decade
Rita Ferla
17 papers receiving 926 citations
Peers
Comparison fields: 5 of 82
- Endocrine and Autonomic Systems 144
- Cancer Research 254
- Genetics 272
- Physiology 168
- Oncology 152
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
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 193 | |
| 2 | 2010 | 190 | |
| 3 | 2011 | 106 | |
| 4 | 2010 | 61 | |
| 5 | 2009 | 53 | |
| 6 | 2011 | 49 | |
| 7 | 2009 | 42 | |
| 8 | 2012 | 38 | |
| 9 | 2020 | 37 | |
| 10 | 2017 | 32 | |
| 11 | 2012 | 30 | |
| 12 | 2009 | 27 | |
| 13 | 2019 | 24 | |
| 14 | 2015 | 21 | |
| 15 | 2014 | 20 | |
| 16 | 2016 | 12 | |
| 17 | 2016 | 2 |
About Rita Ferla
Rita Ferla is a scholar working on Molecular Biology, Genetics, Oncology, Endocrine and Autonomic Systems and Epidemiology, having authored 17 papers that have together received 937 indexed citations. Recurring topics across this work include Virus-based gene therapy research (6 papers), Lysosomal Storage Disorders Research (4 papers), Regulation of Appetite and Obesity (4 papers), Cancer-related molecular mechanisms research (3 papers), Trypanosoma species research and implications (2 papers), FOXO transcription factor regulation (2 papers), Cancer Cells and Metastasis (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (144 citations), Cancer Research (254 citations), Genetics (272 citations), Physiology (168 citations) and Oncology (152 citations). Rita Ferla has collaborated with scholars based in Italy, United States and Hungary. Frequent co-authors include Eva Surmacz, Viviana Bazan, Sandra Cascio, Antonio Russo, Aleco D’Andrea, Alberto Auricchio, László Ötvös, Eliana Gulotta, Valeria Amodeo and Nicola Gebbia. Their work appears in journals such as Human Gene Therapy, Molecular Therapy — Methods & Clinical Development, Molecular Therapy, Journal of Cellular Physiology and European Journal of Cancer.
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.