F. de Ferra
Impact in
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
- Microbiology top 10%
- Bacterial Infections and Vaccines
Papers in
-
- Glycosylation and Glycoproteins Research 2
- DNA Repair Mechanisms 1
- Ubiquitin and proteasome pathways 1
- Enzyme Catalysis and Immobilization 1
- Genetics 6
- Bacterial Genetics and Biotechnology 3
- Virus-based gene therapy research 3
- Co-authors
- Robert A. Lazzarini (2 shared papers)C Puckett (1 shared paper)John Kamholz (1 shared paper)Susan M. Molineaux (1 shared paper)Lynn D. Hudson (1 shared paper)Corrado Baglioni (2 shared papers)Manuela Helmer‐Citterich (2 shared papers)Antonio Palmeri (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Frontiers in Genetics (2 papers)Journal of General Virology (1 paper)Applied Microbiology and Biotechnology (1 paper)Molecular Microbiology (1 paper)
- Partner nations
- ItalyUnited StatesNetherlands
In The Last Decade
F. de Ferra
13 papers receiving 396 citations
Peers
Comparison fields: 5 of 70
- Developmental Neuroscience 66
- Microbiology 51
- Molecular Biology 254
- Endocrinology 17
- Cellular and Molecular Neuroscience 49
Countries citing papers authored by F. de Ferra
This map shows the geographic impact of F. de Ferra'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 F. de Ferra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. de Ferra more than expected).
Fields of papers citing papers by F. de Ferra
This network shows the impact of papers produced by F. de Ferra. 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 F. de Ferra. The network helps show where F. de Ferra may publish in the future.
Co-authors
The 20 scholars most cited alongside F. de Ferra, 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 | 1986 | 134 | |
| 2 | 1986 | 121 | |
| 3 | 1988 | 28 | |
| 4 | 1983 | 20 | |
| 5 | 1999 | 19 | |
| 6 | 1991 | 17 | |
| 7 | 1980 | 15 | |
| 8 | 2014 | 14 | |
| 9 | 2003 | 13 | |
| 10 | 2014 | 11 | |
| 11 | 1990 | 9 | |
| 12 | 2014 | 3 | |
| 13 | Characterization of the srfA locus of Bacillus subtilis | 1993 | 1 |
About F. de Ferra
F. de Ferra is a scholar working on Molecular Biology, Genetics, Ecology, Pharmacology and Pollution, having authored 13 papers that have together received 405 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (3 papers), Virus-based gene therapy research (3 papers), Glycosylation and Glycoproteins Research (2 papers), Bacteriophages and microbial interactions (2 papers), DNA Repair Mechanisms (1 paper), Ubiquitin and proteasome pathways (1 paper), Advanced Proteomics Techniques and Applications (1 paper) and Enzyme Catalysis and Immobilization (1 paper). The work is most often cited by research in Developmental Neuroscience (66 citations), Microbiology (51 citations), Molecular Biology (254 citations), Endocrinology (17 citations) and Cellular and Molecular Neuroscience (49 citations). F. de Ferra has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Robert A. Lazzarini, C Puckett, John Kamholz, Susan M. Molineaux, Lynn D. Hudson, Corrado Baglioni, Manuela Helmer‐Citterich, Antonio Palmeri, Marcella Simili and Rino Rappuoli. Their work appears in journals such as Proceedings of the National Academy of Sciences, Frontiers in Genetics, Journal of General Virology, Applied Microbiology and Biotechnology and Molecular Microbiology.
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.