Gaëlle Huet

1.0k citations
7 papers · 737 indexed · 1 hit paper · h-index 7
Topics
Tuberculosis Research and Epidemiology (4 papers)Pneumocystis jirovecii pneumonia detection and treatment (3 papers)Mycobacterium research and diagnosis (3 papers)
Partner nations
FranceNetherlandsJapan

In The Last Decade

Gaëlle Huet

7 papers receiving 731 citations

Hit Papers

A Receptor Pair with an Integrated Decoy Converts Pathoge...20152026201820222015100200300

Peers

Gaëlle Huet
Comparison fields: 5 of 61
  • Plant Science 336
  • Molecular Biology 241
  • Infectious Diseases 193
  • Epidemiology 176
  • Renewable Energy, Sustainability and the Environment 65
Replace Matthias Misslinger with:
Matthias Misslinger Austria
Tricia A. Missall United States
Patricia Ponce‐Noyola Mexico
Susanne Gola Germany
Palas K. Chanda India
Ismaïl Moukadiri Spain
Agnese Serafini Italy
Sylvie Blanchin-Roland France
Kerstin Mahr Germany
Ana Ramón Uruguay
Gaëlle Huet relative to Matthias Misslinger Austria Matthias Misslinger's profile →
Citations per field
00.5×10×17.3×
Matthias Misslinger · 1×
Citations per year

Countries citing papers authored by Gaëlle Huet

Since Specialization
Citations

This map shows the geographic impact of Gaëlle 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 Gaëlle Huet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gaëlle Huet more than expected).

Fields of papers citing papers by Gaëlle Huet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gaëlle 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 Gaëlle Huet. The network helps show where Gaëlle Huet may publish in the future.

Co-authorship network of co-authors of Gaëlle Huet

This figure shows the co-authorship network connecting the top 25 collaborators of Gaëlle Huet. A scholar is included among the top collaborators of Gaëlle Huet based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gaëlle Huet. Gaëlle Huet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1
A Receptor Pair with an Integrated Decoy Converts Pathogen Disabling of Transcription Factors to Immunitybreakdown →
343
2 13
3 87
4 42
5 109
6 27
7 116

About Gaëlle Huet

Gaëlle Huet is a scholar working on Infectious Diseases, Epidemiology and Nutrition and Dietetics, having authored 7 papers that have together received 737 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (4 papers), Pneumocystis jirovecii pneumonia detection and treatment (3 papers) and Mycobacterium research and diagnosis (3 papers). The work is most often cited by research in Infectious Diseases (193 citations), Plant Science (336 citations) and Epidemiology (176 citations). Gaëlle Huet has collaborated with scholars based in France, Netherlands and Japan. Frequent co-authors include Mamadou Daffé, Isabelle Saves, Hirofumi Yoshioka, Jane E. Parker, Richard Berthomé, Clémentine Le Roux, Laurent Camborde, Sylvain Raffaele, Hiroaki Adachi and Yohann Couté. Their work appears in journals such as Cell, Journal of Biological Chemistry and PLoS ONE.

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.

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