Vincent Frappier

1.1k citations
12 papers · 376 indexed · h-index 10
Topics
Protein Structure and Dynamics (6 papers)RNA and protein synthesis mechanisms (5 papers)Machine Learning in Bioinformatics (3 papers)

In The Last Decade

Vincent Frappier

12 papers receiving 371 citations

Peers

Vincent Frappier
Comparison fields: 5 of 72
  • Molecular Biology 304
  • Materials Chemistry 51
  • Computational Theory and Mathematics 48
  • Infectious Diseases 46
  • Genetics 39
Replace Timothy S. Strutzenberg with:
Timothy S. Strutzenberg United States
Lisandra M. Gava Brazil
T. Kotenyova Sweden
Inna Zilberleyb United States
Michael F. Bailey Australia
Carmen Aguilar‐Gurrieri Spain
Hardik Patel United States
Matthieu Chartier Canada
Benjamin Borgo United States
Elizabeth A. Blackburn United Kingdom
Vincent Frappier relative to Timothy S. Strutzenberg United States Timothy S. Strutzenberg's profile →
Citations per field
00.5×10×15×21×
Timothy S. Strutzenberg · 1×
Citations per year

Countries citing papers authored by Vincent Frappier

Since Specialization
Citations

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

Fields of papers citing papers by Vincent Frappier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vincent Frappier

This figure shows the co-authorship network connecting the top 25 collaborators of Vincent Frappier. A scholar is included among the top collaborators of Vincent Frappier 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 Vincent Frappier. Vincent Frappier 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 4
2 26
3 25
4 12
5 21
6 6
7 131
8 79
9 19
10 15
11 28
12 10

About Vincent Frappier

Vincent Frappier is a scholar working on Geriatrics and Gerontology, Molecular Medicine and Molecular Biology, having authored 12 papers that have together received 376 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (6 papers), RNA and protein synthesis mechanisms (5 papers) and Machine Learning in Bioinformatics (3 papers). The work is most often cited by research in Molecular Biology (304 citations), Computational Theory and Mathematics (48 citations) and Aging (5 citations). Vincent Frappier has collaborated with scholars based in Canada, United States and Brazil. Frequent co-authors include Rafaël Najmanovich, Matthieu Chartier, Amy E. Keating, Madeleine Duran, Jianfu Zhou, Pierre Lavigne, Gevorg Grigoryan, J.M. Jenson, Danny Létourneau and Francis Gaudreault. Their work appears in journals such as Nucleic Acids Research, PLoS ONE and Journal of Lipid Research.

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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