Daniel Drocourt
Impact in
- Biotechnology top 5%
- Enzyme Production and Characterization
- Immunology top 10%
- Immune Response and Inflammation
- Immunotherapy and Immune Responses
Papers in
-
- Enzyme Production and Characterization 2
- Genetics 7
- Bacterial Genetics and Biotechnology 5
- Co-authors
- Gérard Tiraby (18 shared papers)Jean-Paul Reynes (4 shared papers)Éric Pérouzel (3 shared papers)Thierry Calmels (2 shared papers)Michèle Tiraby (3 shared papers)Michel Baron (2 shared papers)Stéphane Paul (2 shared papers)Jérôme Nigou (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)The Journal of Immunology (1 paper)Vaccines (1 paper)Technology in Cancer Research & Treatment (1 paper)Haematologica (1 paper)
- Partner nations
- FranceUnited StatesSwitzerland
In The Last Decade
Daniel Drocourt
22 papers receiving 817 citations
Peers
Comparison fields: 5 of 70
- Biotechnology 81
- Immunology 174
- Infectious Diseases 128
- Molecular Medicine 32
- Genetics 138
Countries citing papers authored by Daniel Drocourt
This map shows the geographic impact of Daniel Drocourt'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 Daniel Drocourt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Drocourt more than expected).
Fields of papers citing papers by Daniel Drocourt
This network shows the impact of papers produced by Daniel Drocourt. 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 Daniel Drocourt. The network helps show where Daniel Drocourt may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Drocourt, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 158 | |
| 2 | 2017 | 98 | |
| 3 | 2017 | 81 | |
| 4 | 1998 | 66 | |
| 5 | 2015 | 56 | |
| 6 | 2018 | 41 | |
| 7 | 1988 | 39 | |
| 8 | 2013 | 39 | |
| 9 | 1988 | 37 | |
| 10 | 2006 | 37 | |
| 11 | 2012 | 37 | |
| 12 | 1991 | 33 | |
| 13 | 1996 | 28 | |
| 14 | 1987 | 26 | |
| 15 | 2013 | 14 | |
| 16 | 2008 | 13 | |
| 17 | 1996 | 11 | |
| 18 | 1983 | 10 | |
| 19 | 1988 | 10 | |
| 20 | 1990 | 6 |
About Daniel Drocourt
Daniel Drocourt is a scholar working on Biotechnology, Genetics, Pharmacology, Immunology and Molecular Medicine, having authored 22 papers that have together received 848 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (5 papers), Microbial Natural Products and Biosynthesis (4 papers), Immune Response and Inflammation (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), RNA Interference and Gene Delivery (2 papers), Carbohydrate Chemistry and Synthesis (2 papers), Tuberculosis Research and Epidemiology (2 papers) and Enzyme Production and Characterization (2 papers). The work is most often cited by research in Biotechnology (81 citations), Immunology (174 citations), Infectious Diseases (128 citations), Molecular Medicine (32 citations) and Genetics (138 citations). Daniel Drocourt has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Gérard Tiraby, Jean-Paul Reynes, Éric Pérouzel, Thierry Calmels, Michèle Tiraby, Michel Baron, Stéphane Paul, Jérôme Nigou, Nicolas Rochereau and Jacques Prandi. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology, Vaccines, Technology in Cancer Research & Treatment and Haematologica.
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.