Guy Allaire

36 papers receiving 964 citations

Peers

Guy Allaire
Comparison fields: 5 of 69
  • Epidemiology 519
  • Microbiology 12
  • Otorhinolaryngology 44
  • Hepatology 53
  • Ophthalmology 58
Replace Roupen Dekmezian with:
Roupen Dekmezian United States
Peter Jebsen Norway
Biman Saikia India
Lakshmi K. Gaur United States
Gregorio Delgado United States
Frank C. Koranda United States
Anna-Luise Katzenstein United States
Laure Bourdery United States
Wilson IB Onuigbo Nigeria
Parvin Ganjei United States
Guy Allaire relative to Roupen Dekmezian United States Roupen Dekmezian's profile →
Citations per field
00.5×5.8×
Roupen Dekmezian · 1×
Citations per year

Countries citing papers authored by Guy Allaire

Since Specialization
Citations

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

Fields of papers citing papers by Guy Allaire

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Guy Allaire, 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 Guy Allaire Line = papers co-authored together Guy Allaire links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009164
2 2011128
3 1988111
4 200392
5 199792
6 200944
7 199040
8 200338
9 200835
10 198730
11 200123
12 201021
13 199421
14 199221
15 200621
16 199919
17 199016
18 200213
19 201113
20 200913

About Guy Allaire

Guy Allaire is a scholar working on Epidemiology, Pathology and Forensic Medicine, Ophthalmology, Oncology and Pulmonary and Respiratory Medicine, having authored 36 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (6 papers), Tumors and Oncological Cases (4 papers), Ocular Oncology and Treatments (4 papers), Cancer and Skin Lesions (3 papers), Tuberous Sclerosis Complex Research (3 papers), Sarcoma Diagnosis and Treatment (2 papers), Viral-associated cancers and disorders (2 papers) and CNS Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Epidemiology (519 citations), Microbiology (12 citations), Otorhinolaryngology (44 citations), Hepatology (53 citations) and Ophthalmology (58 citations). Guy Allaire has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Eduardo L. Franco, François Coutlée, Sylvie Vézina, Danielle Rouleau, Alexandra de Pokomandy, Pierre Côté, John Macleod, Kamal G. Ishak, Lionel Rabin and Isabell A. Sesterhenn. Their work appears in journals such as Ophthalmology, Canadian Journal of Ophthalmology, Clinical Infectious Diseases, Ophthalmic Plastic and Reconstructive Surgery and American Journal of Clinical Pathology.

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.

Explore authors with similar magnitude of impact