Danielle Blondel
Impact in
- Virology top 0.2%
- Rabies epidemiology and control
- Infectious Diseases top 0.5%
- Viral Infections and Vectors
- Viral Infections and Outbreaks Research
Papers in
- Virology 40
- Rabies epidemiology and control 37
- Epidemiology 29
- Virology and Viral Diseases 26
- Co-authors
- Aurore Vidy (6 shared papers)Yves Gaudin (15 shared papers)Mounira K. Chelbi‐Alix (9 shared papers)Hélène Raux (5 shared papers)Rob W. H. Ruigrok (6 shared papers)Mehdi Chenik (3 shared papers)Anne Flamand (2 shared papers)Frédéric Iseni (6 shared papers)
- Journals
- Journal of Virology (24 papers)Journal of General Virology (9 papers)Journal of Molecular Biology (4 papers)Virology (3 papers)PLoS Pathogens (3 papers)
- Partner nations
- FranceAustraliaUnited States
In The Last Decade
Danielle Blondel
65 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 91
- Virology 1.8k
- Infectious Diseases 1.5k
- Epidemiology 1.5k
- Microbiology 239
- Immunology 661
Countries citing papers authored by Danielle Blondel
This map shows the geographic impact of Danielle Blondel'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 Danielle Blondel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Blondel more than expected).
Fields of papers citing papers by Danielle Blondel
This network shows the impact of papers produced by Danielle Blondel. 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 Danielle Blondel. The network helps show where Danielle Blondel may publish in the future.
Co-authors
The 25 scholars most cited alongside Danielle Blondel, 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 243 | |
| 2 | 2017 | 221 | |
| 3 | 2009 | 200 | |
| 4 | 2003 | 181 | |
| 5 | 2005 | 168 | |
| 6 | 2002 | 132 | |
| 7 | 2009 | 128 | |
| 8 | 2007 | 123 | |
| 9 | 2011 | 118 | |
| 10 | 2012 | 109 | |
| 11 | 1998 | 107 | |
| 12 | 1995 | 106 | |
| 13 | 1994 | 100 | |
| 14 | 1990 | 100 | |
| 15 | 2009 | 99 | |
| 16 | 2004 | 93 | |
| 17 | 2006 | 81 | |
| 18 | 2010 | 80 | |
| 19 | 2006 | 78 | |
| 20 | 2005 | 78 |
About Danielle Blondel
Danielle Blondel is a scholar working on Virology, Epidemiology, Infectious Diseases, Molecular Biology and Genetics, having authored 66 papers that have together received 4.1k indexed citations. Recurring topics across this work include Rabies epidemiology and control (37 papers), Virology and Viral Diseases (26 papers), Viral Infections and Vectors (16 papers), Bacteriophages and microbial interactions (13 papers), Virus-based gene therapy research (12 papers), Viral Infections and Outbreaks Research (9 papers), Bacillus and Francisella bacterial research (9 papers) and interferon and immune responses (7 papers). The work is most often cited by research in Virology (1.8k citations), Infectious Diseases (1.5k citations), Epidemiology (1.5k citations), Microbiology (239 citations) and Immunology (661 citations). Danielle Blondel has collaborated with scholars based in France, Australia and United States. Frequent co-authors include Aurore Vidy, Yves Gaudin, Mounira K. Chelbi‐Alix, Hélène Raux, Rob W. H. Ruigrok, Mehdi Chenik, Anne Flamand, Frédéric Iseni, Xavier Lahaye and Cécile Lagaudrière‐Gesbert. Their work appears in journals such as Journal of Virology, Journal of General Virology, Journal of Molecular Biology, Virology and PLoS Pathogens.
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.