Mélodie Bonvalet

1.6k citations
12 papers · 401 indexed · h-index 9
Topics
Sleep and Wakefulness Research (4 papers)Allergic Rhinitis and Sensitization (3 papers)Cancer Immunotherapy and Biomarkers (3 papers)

In The Last Decade

Mélodie Bonvalet

12 papers receiving 396 citations

Peers

Mélodie Bonvalet
Comparison fields: 5 of 70
  • Cognitive Neuroscience 130
  • Experimental and Cognitive Psychology 97
  • Physiology 84
  • Immunology and Allergy 82
  • Molecular Biology 81
Replace Chien-Sin Chen with:
Chien-Sin Chen Switzerland
David Druzd Germany
Camille Alam Canada
Bobei Chen China
Michelle Wrobel United States
Kalpita R. Karan United States
Youkyung S. Roh United States
I Trinchard-Lugan Austria
Susan L. Lightman United Kingdom
Antònia Flaquer Germany
Mélodie Bonvalet relative to Chien-Sin Chen Switzerland Chien-Sin Chen's profile →
Citations per field
00.5×10×17×
Chien-Sin Chen · 1×
Citations per year

Countries citing papers authored by Mélodie Bonvalet

Since Specialization
Citations

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

Fields of papers citing papers by Mélodie Bonvalet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mélodie Bonvalet

This figure shows the co-authorship network connecting the top 25 collaborators of Mélodie Bonvalet. A scholar is included among the top collaborators of Mélodie Bonvalet 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 Mélodie Bonvalet. Mélodie Bonvalet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 42
2 24
3 1
4 1
5 6
6 131
7 37
8 24
9 37
10 41
11 21
12 36

About Mélodie Bonvalet

Mélodie Bonvalet is a scholar working on Immunology and Allergy, Endocrine and Autonomic Systems and Dermatology, having authored 12 papers that have together received 401 indexed citations. Recurring topics across this work include Sleep and Wakefulness Research (4 papers), Allergic Rhinitis and Sensitization (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). The work is most often cited by research in Immunology and Allergy (82 citations), Endocrine and Autonomic Systems (75 citations) and Experimental and Cognitive Psychology (97 citations). Mélodie Bonvalet has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Aditya Ambati, Guo Luo, Markku Partinen, Ling Lin, Holden T. Maecker, Emmanuel Mignot, Xuhuai Ji, Hanna M. Ollila, Emmanuel Mignot and Erik Wambre. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology 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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