L Pelletier

1.3k citations
27 papers · 980 indexed · h-index 16

Impact in

Papers in

L Pelletier

26 papers receiving 945 citations

Peers

L Pelletier
Comparison fields: 5 of 106
  • Modeling and Simulation 91
  • Health 127
  • Epidemiology 494
  • Microbiology 71
  • Endocrinology, Diabetes and Metabolism 113
Replace Edmond S. W. Ng with:
Edmond S. W. Ng United Kingdom
Nichol M. Edwards United States
Ashley B. Coffield United States
Sophia R. Newcomer United States
Stan Xu United States
Nelly Agrinier France
Phoebe Thorpe United States
T. von Sternberg United States
Carla L. DeSisto United States
Viviane Van Casteren Belgium
L Pelletier relative to Edmond S. W. Ng United Kingdom Edmond S. W. Ng's profile →
Citations per field
00.5×2.8×
Edmond S. W. Ng · 1×
Citations per year

Countries citing papers authored by L Pelletier

Since Specialization
Citations

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

Fields of papers citing papers by L Pelletier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 201627
3 201549
4 201165
5 201119
6 2010147
7 201057
8 20084
9 200626
10
Influenza in Canada--1999-2000 season.
20018
11 200075
12 19998
13 199836
14
Influenza in Canada--1996-1997 season.
199714
15 199619
16 199542
17 199419
18
[Health indicators and public health planning].
19901
19 198369
20
Collecting information: a way to cope with cardiac surgery.
19815

About L Pelletier

L Pelletier is a scholar working on Modeling and Simulation, Microbiology, Epidemiology, Endocrinology, Diabetes and Metabolism and Health, having authored 27 papers that have together received 980 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (7 papers), Respiratory viral infections research (6 papers), COVID-19 epidemiological studies (4 papers), Health Promotion and Cardiovascular Prevention (3 papers), Mental Health Treatment and Access (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Historical Medical Research and Treatments (1 paper) and Adrenal and Paraganglionic Tumors (1 paper). The work is most often cited by research in Modeling and Simulation (91 citations), Health (127 citations), Epidemiology (494 citations), Microbiology (71 citations) and Endocrinology, Diabetes and Metabolism (113 citations). L Pelletier has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Julie Vachon, Jay Onysko, Asako Bienek, Catherine Pelletier, Rachel Rodin, John S. Spika, Dena L. Schanzer, R. Kropp, Yves Carrière and James Talbot. Their work appears in journals such as Canadian Medical Association Journal, Epidemiology and Psychiatric Sciences, Clinical Infectious Diseases, The Annals of Thoracic Surgery and Vaccine.

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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