Daniel Leclair

1.0k citations
32 papers · 768 · h-index 18

Impact in

Papers in

    • Salmonella and Campylobacter epidemiology 6
    • Microencapsulation and Drying Processes 3
    • Protein purification and stability 3

Daniel Leclair

30 papers receiving 736 citations

Peers

Daniel Leclair
Comparison fields: 5 of 94
  • Parasitology 121
  • Endocrinology 88
  • Food Science 197
  • Molecular Medicine 42
  • Neurology 118
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Patricia Yu United States
Antonio Verdugo-Rodríguez Mexico
Barbara J. Wallace United States
Jérémy Delerce France
Kazunari Kamachi Japan
Regina Konrad Germany
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Leclair

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Leclair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201657
2 200255
3 201353
4 202052
5 200849
6 200648
7 200846
8 201638
9 202035
10 200129
11 201228
12 201727
13 200027
14 201724
15 201122
16 200421
17 201420
18 200517
19 202116
20 200315

About Daniel Leclair

Daniel Leclair is a scholar working on Food Science, Molecular Biology, Health, Toxicology and Mutagenesis, Infectious Diseases and Neurology, having authored 32 papers that have together received 768 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (6 papers), Botulinum Toxin and Related Neurological Disorders (5 papers), Inhalation and Respiratory Drug Delivery (4 papers), Microencapsulation and Drying Processes (3 papers), Antibiotic Resistance in Bacteria (3 papers), Protein purification and stability (3 papers), Listeria monocytogenes in Food Safety (3 papers) and Parasitic Diseases Research and Treatment (3 papers). The work is most often cited by research in Parasitology (121 citations), Endocrinology (88 citations), Food Science (197 citations), Molecular Medicine (42 citations) and Neurology (118 citations). Daniel Leclair has collaborated with scholars based in Canada, United States and Monaco. Frequent co-authors include Emily D. Cranston, Zhou Xing, Michael R. Thompson, John W. Austin, Jeffrey M. Farber, Franco Pagotto, Jean‐François Proulx, Lorry B. Forbes, Alvin A. Gajadhar and Brigitte Cadieux. Their work appears in journals such as International Journal of Pharmaceutics, Journal of Food Protection, Applied and Environmental Microbiology, Journal of Parasitology and Foodborne Pathogens and Disease.

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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