Benoı̂t Chabot

12.2k citations
123 papers · 9.7k indexed · 2 hit papers · h-index 52

Benoı̂t Chabot

121 papers receiving 9.5k citations

Hit Papers

The proto-oncogene c-kit encoding a transmembrane tyrosin...1.2k19852026199820122505007501000

Peers

Benoı̂t Chabot
Comparison fields: 5 of 121
  • Molecular Biology 8.1k
  • Cancer Research 834
  • Immunology and Allergy 317
  • Genetics 539
  • Immunology 991
Replace Carol B. Ware with:
Carol B. Ware United States
Xiao‐Fan Wang United States
Sima Lev Israel
Yoshifumi Yokota Japan
Dimitris Kioussis United Kingdom
Hideo Iba Japan
Mitsuyoshi Nakao Japan
Henry Furneaux United States
Nigel K. Spurr United Kingdom
Mary Jean Sunshine United States
Benoı̂t Chabot relative to Carol B. Ware United States Carol B. Ware's profile →
Citations per field
00.5×2.8×
Carol B. Ware · 1×
Citations per year

Countries citing papers authored by Benoı̂t Chabot

Since Specialization
Citations

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

Fields of papers citing papers by Benoı̂t Chabot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Benoı̂t Chabot, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Benoı̂t Chabot Line = papers co-authored together Benoı̂t Chabot links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20260
2 20242
3 20242
4 20236
5 202118
6 20206
7 201830
8 201715
9 201779
10 201453
11 200970
12 200859
13 2008122
14 2008140
15 2008126
16 200756
17 200771
18 200254
19 1998241
20 199272

About Benoı̂t Chabot

Benoı̂t Chabot is a scholar working on Molecular Biology, Virology and Cardiology and Cardiovascular Medicine, having authored 123 papers that have together received 9.7k indexed citations. Recurring topics across this work include RNA Research and Splicing (80 papers), RNA and protein synthesis mechanisms (54 papers), RNA modifications and cancer (48 papers), Viral Infections and Immunology Research (15 papers), RNA Interference and Gene Delivery (13 papers), RNA regulation and disease (10 papers), Genomics and Chromatin Dynamics (6 papers) and HIV Research and Treatment (6 papers). The work is most often cited by research in Molecular Biology (8.1k citations), Cancer Research (834 citations) and Immunology and Allergy (317 citations). Benoı̂t Chabot has collaborated with scholars based in Canada, France and United States. Frequent co-authors include Joan A. Steitz, Alan Bernstein, Peter Besmer, Lulzim Shkreta, Douglas L. Black, Dennis A. Stephenson, Sherif Abou Elela, Jean‐François Fisette, Timothée Revil and Roscoe Klinck. Their work appears in journals such as Molecular and Cellular Biology, Journal of Biological Chemistry, Nucleic Acids Research, RNA and Nature Structural & 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.

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