Suzanne E. Bouvier
Impact in
- Genetics top 10%
- Bacterial Genetics and Biotechnology
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- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
- Fungal and yeast genetics research
- Genomics and Phylogenetic Studies
- CRISPR and Genetic Engineering
Papers in
-
- Protein Structure and Dynamics 4
- RNA and protein synthesis mechanisms 2
- Genomics and Phylogenetic Studies 1
- Glycosylation and Glycoproteins Research 1
- Ecology 5
- Bacteriophages and microbial interactions 5
- Co-authors
- Anthony R. Poteete (4 shared papers)Dale Rennell (3 shared papers)Larry W. Hardy (2 shared papers)Miriam M. Susskind (2 shared papers)Philip Youderian (2 shared papers)Dmitry Blinder (1 shared paper)Duane D. Jenness (1 shared paper)Robert T. Sauer (1 shared paper)
- Journals
- Cell (3 papers)Proteins Structure Function and Bioinformatics (1 paper)Protein Science (1 paper)The FASEB Journal (1 paper)Journal of Molecular Biology (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
Suzanne E. Bouvier
8 papers receiving 674 citations
Peers
Comparison fields: 5 of 65
- Genetics 253
- Molecular Biology 623
- Ecology 134
- Biotechnology 33
- Cell Biology 51
Countries citing papers authored by Suzanne E. Bouvier
This map shows the geographic impact of Suzanne E. Bouvier'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 Suzanne E. Bouvier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suzanne E. Bouvier more than expected).
Fields of papers citing papers by Suzanne E. Bouvier
This network shows the impact of papers produced by Suzanne E. Bouvier. 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 Suzanne E. Bouvier. The network helps show where Suzanne E. Bouvier may publish in the future.
Co-authors
The 16 scholars most cited alongside Suzanne E. Bouvier, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 274 | |
| 2 | 1982 | 133 | |
| 3 | 1989 | 127 | |
| 4 | 1983 | 111 | |
| 5 | 1992 | 32 | |
| 6 | 1997 | 19 | |
| 7 | 1996 | 6 | |
| 8 | Pregnancy failure and alkaline phosphatases: from mouse genetics to human disease. | 2012 | 1 |
About Suzanne E. Bouvier
Suzanne E. Bouvier is a scholar working on Molecular Biology, Ecology, Genetics, Pediatrics, Perinatology and Child Health and Rheumatology, having authored 8 papers that have together received 703 indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (5 papers), Protein Structure and Dynamics (4 papers), Bacterial Genetics and Biotechnology (3 papers), RNA and protein synthesis mechanisms (2 papers), Genomics and Phylogenetic Studies (1 paper), Glycosylation and Glycoproteins Research (1 paper), Insect and Arachnid Ecology and Behavior (1 paper) and Insect symbiosis and bacterial influences (1 paper). The work is most often cited by research in Genetics (253 citations), Molecular Biology (623 citations), Ecology (134 citations), Biotechnology (33 citations) and Cell Biology (51 citations). Suzanne E. Bouvier has collaborated with scholars based in United States and France. Frequent co-authors include Anthony R. Poteete, Dale Rennell, Larry W. Hardy, Miriam M. Susskind, Philip Youderian, Dmitry Blinder, Duane D. Jenness, Robert T. Sauer, Andrew K. Vershon and Daniel Vaiman. Their work appears in journals such as Cell, Proteins Structure Function and Bioinformatics, Protein Science, The FASEB Journal and Journal of 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.