Daniel A. LeClair

31 papers receiving 780 citations

Peers

Daniel A. LeClair
Comparison fields: 5 of 94
  • Parasitology 123
  • Endocrinology 94
  • Food Science 208
  • Neurology 132
  • Molecular Medicine 44
Replace Antonio Verdugo-Rodríguez with:
Antonio Verdugo-Rodríguez Mexico
Kazunari Kamachi Japan
Jérémy Delerce France
Patricia A. Yu United States
Mark A. Fisher United States
Lorraine Arntzen South Africa
Girija Ramakrishnan United States
Choon‐Mee Kim South Korea
Stefano Gaiarsa Italy
James C. Coolbaugh United States
Daniel A. LeClair relative to Antonio Verdugo-Rodríguez Mexico Antonio Verdugo-Rodríguez's profile →
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Citations per year

Countries citing papers authored by Daniel A. LeClair

Since Specialization
Citations

This map shows the geographic impact of Daniel A. 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 A. 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 A. LeClair more than expected).

Fields of papers citing papers by Daniel A. LeClair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201658
2 202057
3 201356
4 200255
5 200849
6 200649
7 200847
8 201640
9 202038
10 200130
11 201729
12 200027
13 201226
14 201725
15 201123
16 201123
17 200421
18 201421
19 200517
20 201916

About Daniel A. LeClair

Daniel A. LeClair is a scholar working on Food Science, Health, Toxicology and Mutagenesis, Neurology, Infectious Diseases and Molecular Medicine, having authored 33 papers that have together received 811 indexed citations. Recurring topics across this work include Botulinum Toxin and Related Neurological Disorders (6 papers), Salmonella and Campylobacter epidemiology (6 papers), Inhalation and Respiratory Drug Delivery (4 papers), Protein purification and stability (3 papers), Antibiotic Resistance in Bacteria (3 papers), Parasitic Diseases Research and Treatment (3 papers), Microencapsulation and Drying Processes (3 papers) and Listeria monocytogenes in Food Safety (3 papers). The work is most often cited by research in Parasitology (123 citations), Endocrinology (94 citations), Food Science (208 citations), Neurology (132 citations) and Molecular Medicine (44 citations). Daniel A. LeClair has collaborated with scholars based in Canada, United States and Monaco. Frequent co-authors include John W. Austin, Emily D. Cranston, Zhou Xing, Michael R. Thompson, Jeffrey M. Farber, Franco Pagotto, Jean‐François Proulx, Brigitte Cadieux, Alvin A. Gajadhar and Lorry B. Forbes. Their work appears in journals such as Journal of Food Protection, Journal of Wildlife Diseases, International Journal of Pharmaceutics, Applied and Environmental Microbiology and Applied Organometallic Chemistry.

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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