L. Daigle

14 total papers · 571 total citations
6 papers, 63 citations indexed

About

L. Daigle is a scholar working on Pharmacology, Psychiatry and Mental health and Molecular Biology. According to data from OpenAlex, L. Daigle has authored 6 papers receiving a total of 63 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pharmacology, 3 papers in Psychiatry and Mental health and 1 paper in Molecular Biology. Recurrent topics in L. Daigle's work include Treatment of Major Depression (3 papers), Bipolar Disorder and Treatment (2 papers) and Neurotransmitter Receptor Influence on Behavior (1 paper). L. Daigle is often cited by papers focused on Treatment of Major Depression (3 papers), Bipolar Disorder and Treatment (2 papers) and Neurotransmitter Receptor Influence on Behavior (1 paper). L. Daigle collaborates with scholars based in Canada. L. Daigle's co-authors include Paul Grof, Duncan J. MacCrimmon, Terry Haines, R. Varma, Eva Grof, Gabor I. Keitner, Jon‐Émile S. Kenny, Richard M. Cantor, M. J. W. Prior and Edward K. Smith and has published in prestigious journals such as British Journal of Clinical Pharmacology, The Canadian Journal of Psychiatry and The Journal of Clinical Pharmacology.

In The Last Decade

L. Daigle

6 papers receiving 48 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
L. Daigle 44 21 15 11 10 6 63
Charlotte Dunn 14 0.3× 19 0.9× 9 0.6× 8 0.7× 9 0.9× 6 78
Cristiana Taus 73 1.7× 14 0.7× 3 0.2× 26 2.4× 15 1.5× 7 256
Georgina Simpson 59 1.3× 8 0.4× 8 0.5× 3 0.3× 13 1.3× 4 80
Pradeep Nagachandran 59 1.3× 48 2.3× 7 0.5× 19 1.7× 9 0.9× 7 264
Mette Nielsen 36 0.8× 14 0.7× 6 0.4× 5 0.5× 4 0.4× 4 55
Andrew J. Brunk 11 0.3× 16 0.8× 12 0.8× 9 0.8× 21 2.1× 7 258
Steven Bai 14 0.3× 13 0.6× 4 0.3× 16 1.5× 9 0.9× 6 245
Lisa R. Seymour 166 3.8× 13 0.6× 8 0.5× 17 1.5× 7 0.7× 11 252
Axel Schaefer 11 0.3× 29 1.4× 29 1.9× 9 0.8× 4 0.4× 7 91
Scott E. Kalinowski 42 1.0× 8 0.4× 23 1.5× 5 0.5× 4 0.4× 6 217

Countries citing papers authored by L. Daigle

Since Specialization
Citations

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

Fields of papers citing papers by L. Daigle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L. Daigle

This figure shows the co-authorship network connecting the top 25 collaborators of L. Daigle. A scholar is included among the top collaborators of L. Daigle based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with L. Daigle. L. Daigle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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