Daniel Lamontagne

2.9k citations
74 papers · 2.4k · h-index 29

Impact in

Papers in

Daniel Lamontagne

74 papers receiving 2.4k citations

Peers

Daniel Lamontagne
Comparison fields: 5 of 104
  • Endocrine and Autonomic Systems 378
  • Cardiology and Cardiovascular Medicine 694
  • Physiology 820
  • Genetics 276
  • Pharmacology 412
Replace Mark H. Perrone with:
Mark H. Perrone United States
Earl F. Ellis United States
Azza B. El‐Remessy United States
Victoria M. Bolotina United States
P.A. Kemp United Kingdom
T Unger Germany
H. F. Hodson United Kingdom
Ram V. Sharma United States
Scott Earley United States
Jianqiang Feng China
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Citations per field
00.5×4.8×
Mark H. Perrone · 1×
Citations per year

Countries citing papers authored by Daniel Lamontagne

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Lamontagne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992205
2 2002139
3 2002119
4 2003108
5 1991100
6 199999
7 199286
8 200185
9 199383
10 200376
11 200169
12 200162
13 200360
14 199754
15 199554
16 199852
17 199350
18 199148
19 199446
20 199445

About Daniel Lamontagne

Daniel Lamontagne is a scholar working on Cardiology and Cardiovascular Medicine, Physiology, Pathology and Forensic Medicine, Molecular Biology and Genetics, having authored 74 papers that have together received 2.4k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (21 papers), Cardiac Ischemia and Reperfusion (18 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (11 papers), Cardiac electrophysiology and arrhythmias (9 papers), Cannabis and Cannabinoid Research (8 papers), Neuroscience and Neuropharmacology Research (6 papers), Eicosanoids and Hypertension Pharmacology (6 papers) and Adenosine and Purinergic Signaling (6 papers). The work is most often cited by research in Endocrine and Autonomic Systems (378 citations), Cardiology and Cardiovascular Medicine (694 citations), Physiology (820 citations), Genetics (276 citations) and Pharmacology (412 citations). Daniel Lamontagne has collaborated with scholars based in Canada, Germany and United States. Frequent co-authors include Rudi Busse, Ulrich Pohl, Jean‐François Bouchard, Caroline Lagneux, Jacques de Champlain, Réginald Nadeau, Albert Adam, Rong Wu, Hélène Girouard and Huy Ong. Their work appears in journals such as Canadian Journal of Physiology and Pharmacology, British Journal of Pharmacology, Journal of Hypertension, Journal of Cardiovascular Pharmacology and Cardiovascular Research.

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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