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
-
- Biochemical and Structural Characterization 3
- Bacterial biofilms and quorum sensing 3
- Genetics 11
- Bacterial Genetics and Biotechnology 6
- Virus-based gene therapy research 5
- Co-authors
- Guy Schoehn (21 shared papers)Andréa Dessen (4 shared papers)Anne Marie Di Guilmi (3 shared papers)Thierry Rabilloud (10 shared papers)Bastien Dalzon (6 shared papers)Carlos Contreras‐Martel (3 shared papers)Véronique Collin‐Faure (8 shared papers)Thierry Vernet (2 shared papers)
In The Last Decade
Daphna Fenel
35 papers receiving 675 citations
Peers
Comparison fields: 5 of 89
- Infectious Diseases 150
- Endocrinology 34
- Molecular Medicine 28
- Immunology 94
- Molecular Biology 312
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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 138 | |
| 2 | 2008 | 72 | |
| 3 | 2010 | 36 | |
| 4 | 2019 | 36 | |
| 5 | 2020 | 31 | |
| 6 | 2012 | 31 | |
| 7 | 2017 | 29 | |
| 8 | 2022 | 26 | |
| 9 | 2019 | 23 | |
| 10 | 2011 | 23 | |
| 11 | 2022 | 23 | |
| 12 | 2019 | 20 | |
| 13 | 2015 | 18 | |
| 14 | 2010 | 16 | |
| 15 | 2021 | 13 | |
| 16 | 2011 | 13 | |
| 17 | 2022 | 12 | |
| 18 | 2013 | 12 | |
| 19 | 2022 | 11 | |
| 20 | 2015 | 11 |
About Daphna Fenel
Daphna Fenel is a scholar working on Molecular Biology, Genetics, Materials Chemistry, Infectious Diseases and Public Health, Environmental and Occupational Health, having authored 42 papers that have together received 679 indexed citations. Recurring topics across this work include Enzyme Structure and Function (6 papers), Bacterial Genetics and Biotechnology (6 papers), Virus-based gene therapy research (5 papers), Nanoparticles: synthesis and applications (4 papers), Streptococcal Infections and Treatments (3 papers), Biochemical and Structural Characterization (3 papers), Bacterial biofilms and quorum sensing (3 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). The work is most often cited by research in Infectious Diseases (150 citations), Endocrinology (34 citations), Molecular Medicine (28 citations), Immunology (94 citations) and Molecular Biology (312 citations). Daphna Fenel has collaborated with scholars based in France, Brazil and Belgium. Frequent co-authors include Guy Schoehn, Andréa Dessen, Anne Marie Di Guilmi, Thierry Rabilloud, Bastien Dalzon, Carlos Contreras‐Martel, Véronique Collin‐Faure, Thierry Vernet, Lamya El Mortaji and Isabelle Bally. Their work appears in journals such as Nanomaterials, International Journal of Molecular Sciences, PLoS Pathogens, Nature Communications and Biochemistry.
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.