Philippe Thullier
Impact in
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- Monoclonal and Polyclonal Antibodies Research
- Biotechnology top 5%
Papers in
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- Bacillus and Francisella bacterial research 13
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- Monoclonal and Polyclonal Antibodies Research 10
- Co-authors
- Thibaut Pelat (32 shared papers)Michael Hust (17 shared papers)Marie‐Paule Lefranc (5 shared papers)Stefan Dübel (6 shared papers)Hugues Bedouelle (4 shared papers)Françis Hérodin (3 shared papers)Jeffrey W. Froude (4 shared papers)J C Mazié (2 shared papers)
- Journals
- mAbs (8 papers)PLoS ONE (5 papers)BMC Biotechnology (4 papers)Toxins (4 papers)Journal of Molecular Biology (3 papers)
- Partner nations
- FranceGermanyUnited Kingdom
In The Last Decade
Philippe Thullier
49 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 91
- Radiology, Nuclear Medicine and Imaging 525
- Biotechnology 172
- Infectious Diseases 292
- Virology 73
- Neurology 232
Countries citing papers authored by Philippe Thullier
This map shows the geographic impact of Philippe Thullier'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 Philippe Thullier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philippe Thullier more than expected).
Fields of papers citing papers by Philippe Thullier
This network shows the impact of papers produced by Philippe Thullier. 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 Philippe Thullier. The network helps show where Philippe Thullier may publish in the future.
Co-authors
The 25 scholars most cited alongside Philippe Thullier, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 110 | |
| 2 | 2007 | 89 | |
| 3 | 2009 | 81 | |
| 4 | 2014 | 74 | |
| 5 | 2008 | 74 | |
| 6 | 2003 | 64 | |
| 7 | 2009 | 57 | |
| 8 | 2016 | 54 | |
| 9 | 2011 | 51 | |
| 10 | 2005 | 50 | |
| 11 | Nonhuman primates are relevant models for research in hematology, immunology and virology. | 2005 | 49 |
| 12 | 2005 | 45 | |
| 13 | 1999 | 44 | |
| 14 | 2012 | 41 | |
| 15 | 2004 | 37 | |
| 16 | 2007 | 36 | |
| 17 | 2011 | 35 | |
| 18 | 2007 | 35 | |
| 19 | 2014 | 35 | |
| 20 | 2010 | 33 |
About Philippe Thullier
Philippe Thullier is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology, Neurology and Infectious Diseases, having authored 50 papers that have together received 1.6k indexed citations. Recurring topics across this work include Bacillus and Francisella bacterial research (13 papers), Botulinum Toxin and Related Neurological Disorders (10 papers), Monoclonal and Polyclonal Antibodies Research (10 papers), Bacteriophages and microbial interactions (7 papers), Neurological disorders and treatments (7 papers), Transgenic Plants and Applications (6 papers), Hereditary Neurological Disorders (5 papers) and Toxin Mechanisms and Immunotoxins (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (525 citations), Biotechnology (172 citations), Infectious Diseases (292 citations), Virology (73 citations) and Neurology (232 citations). Philippe Thullier has collaborated with scholars based in France, Germany and United Kingdom. Frequent co-authors include Thibaut Pelat, Michael Hust, Marie‐Paule Lefranc, Stefan Dübel, Hugues Bedouelle, Françis Hérodin, Jeffrey W. Froude, J C Mazié, Françoise Mégret and Pierre Lafaye. Their work appears in journals such as mAbs, PLoS ONE, BMC Biotechnology, Toxins and Journal of Molecular Biology.
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.