Violette A. Breittmayer

1.2k citations
19 papers · 985 indexed · h-index 13
Topics
Genomics and Phylogenetic Studies (5 papers)Microbial Community Ecology and Physiology (4 papers)Bacterial Genetics and Biotechnology (4 papers)
Partner nations
FranceMaliSpain

In The Last Decade

Violette A. Breittmayer

18 papers receiving 940 citations

Peers

Violette A. Breittmayer
Comparison fields: 5 of 102
  • Molecular Biology 453
  • Ecology 345
  • Immunology 338
  • Endocrinology 182
  • Oncology 97
Replace Sonia Timberlake with:
Sonia Timberlake United States
Karen G. Burnett United States
Patrick Munro France
Michel Gauthier France
Samuel J. Hobbs United States
Maria Giovanna Parisi Italy
Richard E. Wolke United States
Caterina Manzari Italy
Bruno Fosso Italy
Evgeny Sagulenko Australia
Violette A. Breittmayer relative to Sonia Timberlake United States Sonia Timberlake's profile →
Citations per field
00.5×2.6×
Sonia Timberlake · 1×
Citations per year

Countries citing papers authored by Violette A. Breittmayer

Since Specialization
Citations

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

Fields of papers citing papers by Violette A. Breittmayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Violette A. Breittmayer. 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 Violette A. Breittmayer. The network helps show where Violette A. Breittmayer may publish in the future.

Co-authorship network of co-authors of Violette A. Breittmayer

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 39
2 42
3 80
4
Arg777 plays a major role in the conformation of the colony-stimulating factor-1 receptor intracellular kinase domain.
1
5 44
6 44
7 162
8 129
9 236
10 38
11 12
12 5
13 11
14 35
15 66
16 0
17 4
18 3
19 34

About Violette A. Breittmayer

Violette A. Breittmayer is a scholar working on Filtration and Separation, Immunology and Allergy and Microbiology, having authored 19 papers that have together received 985 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), Microbial Community Ecology and Physiology (4 papers) and Bacterial Genetics and Biotechnology (4 papers). The work is most often cited by research in Endocrinology (182 citations), Immunology (338 citations) and Ecology (345 citations). Violette A. Breittmayer has collaborated with scholars based in France, Mali and Spain. Frequent co-authors include M.J. Gauthier, Raymond Ruimy, Richard Christen, Bénédicte Lafay, Heidy Schmid‐Antomarchi, Patrick Munro, Bernard Rossi, Annie Schmid‐Alliana, Gregory M. Gauthier and Béatrice Cambien. Their work appears in journals such as Blood, The Journal of Immunology and Applied and Environmental Microbiology.

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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