Francis Beaudry

161 papers receiving 3.3k citations

Peers

Francis Beaudry
Comparison fields: 5 of 132
  • Molecular Medicine 356
  • Equine 112
  • Small Animals 429
  • Aging 67
  • Endocrinology 193
Replace Ziv Gan‐Or with:
Ziv Gan‐Or Canada
Bie Tan China
Jean Fioramonti France
Zhaolai Dai China
Dennis F. Kohn United States
J. Derrell Clark United States
Patricia V. Turner Canada
Yongqing Hou China
Govindaraju Archunan India
Freddy J. Troost Netherlands
Francis Beaudry relative to Ziv Gan‐Or Canada Ziv Gan‐Or's profile →
Citations per field
00.5×6.9×
Ziv Gan‐Or · 1×
Citations per year

Countries citing papers authored by Francis Beaudry

Since Specialization
Citations

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

Fields of papers citing papers by Francis Beaudry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20233
3 20232
4 20228
5 20213
6 20213
7 20195
8
Efficacy and pharmacokinetics of bupivacaine with epinephrine or dexmedetomidine after intraperitoneal administration in cats undergoing ovariohysterectomy.
201820
9 201713
10 20156
11 201322
12 201018
13 20108
14 200959
15 200819
16 200823
17 200813
18 200712
19 20073
20 200572

About Francis Beaudry

Francis Beaudry is a scholar working on Aging, Equine, Small Animals, Cellular and Molecular Neuroscience and Anesthesiology and Pain Medicine, having authored 163 papers that have together received 3.4k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (32 papers), Veterinary Pharmacology and Anesthesia (25 papers), Neuropeptides and Animal Physiology (22 papers), Neuroscience and Neuropharmacology Research (16 papers), Antibiotics Pharmacokinetics and Efficacy (15 papers), Receptor Mechanisms and Signaling (14 papers), Osteoarthritis Treatment and Mechanisms (13 papers) and Mass Spectrometry Techniques and Applications (11 papers). The work is most often cited by research in Molecular Medicine (356 citations), Equine (112 citations), Small Animals (429 citations), Aging (67 citations) and Endocrinology (193 citations). Francis Beaudry has collaborated with scholars based in Canada, France and United States. Frequent co-authors include Pascal Vachon, Ann Letellier, Mohamed Rhouma, Sarah Annie Guénette, John M. Fairbrother, Jean‐Francois Marier, William Thériault, Catherine E. Ferland, Pierre Hélie and Sheila Laverty. Their work appears in journals such as Biomedical Chromatography, Neurochemical Research, Neuropeptides, Journal of Veterinary Pharmacology and Therapeutics and Naunyn-Schmiedeberg s Archives of Pharmacology.

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

Rankless by CCL
2026