Danielle Beaulieu

38 papers receiving 956 citations

Peers

Danielle Beaulieu
Comparison fields: 5 of 104
  • Hepatology 330
  • Critical Care and Intensive Care Medicine 134
  • Molecular Medicine 89
  • Biochemistry 96
  • Anesthesiology and Pain Medicine 62
Replace Kenneth J. Wilkins with:
Kenneth J. Wilkins United States
Zhitao Yang China
Maria Mazzitelli Italy
Johan Gagnière France
Alessandro Perrella Italy
Hisataka Shoji Japan
William W. Turner United States
Xuejiao Hu China
Gino Tripodi Italy
Danielle Beaulieu relative to Kenneth J. Wilkins United States Kenneth J. Wilkins's profile →
Citations per field
00.5×4.2×
Kenneth J. Wilkins · 1×
Citations per year

Countries citing papers authored by Danielle Beaulieu

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Beaulieu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20232
2 20218
3 20213
4 20179
5 201298
6 201159
7 201047
8 200920
9 200933
10 200946
11 2008106
12 200817
13 200737
14 200167
15 200120
16 199924
17 19951
18 199314
19 19915
20 198826

About Danielle Beaulieu

Danielle Beaulieu is a scholar working on Hepatology, Anesthesiology and Pain Medicine, Biochemistry, Molecular Medicine and Microbiology, having authored 41 papers that have together received 993 indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (8 papers), Amyotrophic Lateral Sclerosis Research (6 papers), Liver Disease and Transplantation (6 papers), Anesthesia and Pain Management (5 papers), Nausea and vomiting management (4 papers), Organ Donation and Transplantation (4 papers), Blood transfusion and management (4 papers) and Genomics and Phylogenetic Studies (4 papers). The work is most often cited by research in Hepatology (330 citations), Critical Care and Intensive Care Medicine (134 citations), Molecular Medicine (89 citations), Biochemistry (96 citations) and Anesthesiology and Pain Medicine (62 citations). Danielle Beaulieu has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Luc Massicotte, André Roy, Lynda Thibeault, Jean-Denis Roy, Réal Lapointe, André Denault, Denis Marleau, Thomas J. Dougherty, John F. Barrett and Zoltan Hevesi. Their work appears in journals such as Transplantation, Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration, Regional Anesthesia & Pain Medicine, Annals of Clinical and Translational Neurology and Expert Opinion on Investigational Drugs.

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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