Daphna Fenel
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Endocrinology top 10%
Papers in
-
- Bacterial biofilms and quorum sensing 3
- Biochemical and Structural Characterization 3
-
- Enzyme Structure and Function 6
- Nanoparticles: synthesis and applications 4
- Co-authors
- Guy Schoehn (21 shared papers)Andréa Dessen (4 shared papers)Anne Marie Di Guilmi (3 shared papers)Thierry Rabilloud (10 shared papers)Lamya El Mortaji (2 shared papers)Bastien Dalzon (6 shared papers)Isabelle Bally (2 shared papers)Véronique Collin‐Faure (8 shared papers)
- Journals
- Nanomaterials (3 papers)Nature Communications (2 papers)Biochemistry (2 papers)Nanoscale (2 papers)Molecular Microbiology (2 papers)
- Partner nations
- FranceBrazilUnited States
In The Last Decade
Daphna Fenel
34 papers receiving 654 citations
Peers
Comparison fields: 5 of 89
- Infectious Diseases 153
- Endocrinology 34
- Molecular Medicine 28
- Immunology 98
- Molecular Biology 315
Countries citing papers authored by Daphna Fenel
This map shows the geographic impact of Daphna Fenel'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 Daphna Fenel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daphna Fenel more than expected).
Fields of papers citing papers by Daphna Fenel
This network shows the impact of papers produced by Daphna Fenel. 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 Daphna Fenel. The network helps show where Daphna Fenel may publish in the future.
Co-authors
The 25 scholars most cited alongside Daphna Fenel, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 134 | |
| 2 | 2008 | 72 | |
| 3 | 2019 | 36 | |
| 4 | 2010 | 36 | |
| 5 | 2012 | 31 | |
| 6 | 2017 | 29 | |
| 7 | 2020 | 29 | |
| 8 | 2022 | 23 | |
| 9 | 2011 | 23 | |
| 10 | 2022 | 22 | |
| 11 | 2019 | 22 | |
| 12 | 2019 | 20 | |
| 13 | 2015 | 18 | |
| 14 | 2010 | 16 | |
| 15 | 2011 | 13 | |
| 16 | 2013 | 12 | |
| 17 | 2022 | 12 | |
| 18 | 2022 | 11 | |
| 19 | 2021 | 11 | |
| 20 | 2015 | 11 |
About Daphna Fenel
Daphna Fenel is a scholar working on Molecular Biology, Materials Chemistry, Genetics, Infectious Diseases and Public Health, Environmental and Occupational Health, having authored 39 papers that have together received 659 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (6 papers), Enzyme Structure and Function (6 papers), Virus-based gene therapy research (4 papers), Nanoparticles: synthesis and applications (4 papers), Bacterial biofilms and quorum sensing (3 papers), Biochemical and Structural Characterization (3 papers), Bacteriophages and microbial interactions (3 papers) and Viral gastroenteritis research and epidemiology (3 papers). The work is most often cited by research in Infectious Diseases (153 citations), Endocrinology (34 citations), Molecular Medicine (28 citations), Immunology (98 citations) and Molecular Biology (315 citations). Daphna Fenel has collaborated with scholars based in France, Brazil and United States. Frequent co-authors include Guy Schoehn, Andréa Dessen, Anne Marie Di Guilmi, Thierry Rabilloud, Lamya El Mortaji, Bastien Dalzon, Isabelle Bally, Véronique Collin‐Faure, Thierry Vernet and Rafaël Delgado. Their work appears in journals such as Nanomaterials, Nature Communications, Biochemistry, Nanoscale 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.