D. Huet
Impact in
- Parasitology top 5%
- Vector-borne infectious diseases
- Family Practice top 5%
Papers in
-
- Diabetes Management and Research 9
- Diabetes Treatment and Management 7
-
- Antifungal resistance and susceptibility 3
- Co-authors
- C. Masson (3 shared papers)Jean‐Claude Huet (3 shared papers)Françoise Féménia (6 shared papers)Nadia Berkova (5 shared papers)Gérard Arnold (2 shared papers)Jean‐Claude Pernollet (2 shared papers)Jean‐Paul Latgé (3 shared papers)S. Dejager (2 shared papers)
- Journals
- Diabetes & Metabolism (7 papers)Mycopathologia (1 paper)Clinical Microbiology and Infection (1 paper)Chemical Senses (1 paper)Insect Biochemistry and Molecular Biology (1 paper)
- Partner nations
- FranceUnited KingdomRussia
In The Last Decade
D. Huet
37 papers receiving 939 citations
Peers
Comparison fields: 5 of 109
- Parasitology 139
- Family Practice 46
- Endocrinology, Diabetes and Metabolism 298
- Insect Science 190
- Infectious Diseases 226
Countries citing papers authored by D. Huet
This map shows the geographic impact of D. Huet'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 D. Huet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Huet more than expected).
Fields of papers citing papers by D. Huet
This network shows the impact of papers produced by D. Huet. 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 D. Huet. The network helps show where D. Huet may publish in the future.
Co-authors
The 25 scholars most cited alongside D. Huet, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 100 | |
| 2 | 1999 | 94 | |
| 3 | 2012 | 70 | |
| 4 | 1998 | 66 | |
| 5 | 2014 | 65 | |
| 6 | 2006 | 64 | |
| 7 | 2009 | 63 | |
| 8 | 2016 | 59 | |
| 9 | 1998 | 51 | |
| 10 | 2005 | 47 | |
| 11 | 2009 | 45 | |
| 12 | 2013 | 30 | |
| 13 | 2009 | 29 | |
| 14 | 2007 | 22 | |
| 15 | 2012 | 21 | |
| 16 | 2002 | 20 | |
| 17 | 2012 | 18 | |
| 18 | 2011 | 16 | |
| 19 | 2017 | 15 | |
| 20 | 2009 | 14 |
About D. Huet
D. Huet is a scholar working on Endocrinology, Diabetes and Metabolism, Infectious Diseases, Electrical and Electronic Engineering, Molecular Biology and Epidemiology, having authored 41 papers that have together received 974 indexed citations. Recurring topics across this work include Diabetes Management and Research (9 papers), Diabetes Treatment and Management (7 papers), Insect and Pesticide Research (4 papers), Pulsed Power Technology Applications (4 papers), Plasma Diagnostics and Applications (4 papers), Antifungal resistance and susceptibility (3 papers), Magnetic confinement fusion research (3 papers) and Vector-borne infectious diseases (3 papers). The work is most often cited by research in Parasitology (139 citations), Family Practice (46 citations), Endocrinology, Diabetes and Metabolism (298 citations), Insect Science (190 citations) and Infectious Diseases (226 citations). D. Huet has collaborated with scholars based in France, United Kingdom and Russia. Frequent co-authors include C. Masson, Jean‐Claude Huet, Françoise Féménia, Nadia Berkova, Gérard Arnold, Jean‐Claude Pernollet, Jean‐Paul Latgé, S. Dejager, Stéphane Quéré and G. Arnold. Their work appears in journals such as Diabetes & Metabolism, Mycopathologia, Clinical Microbiology and Infection, Chemical Senses and Insect Biochemistry and 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.