Marc Lapointe

1.3k citations
49 papers · 882 · h-index 18

Impact in

  • Neurology top 10%
    • Intracerebral and Subarachnoid Hemorrhage Research
    • Neurosurgical Procedures and Complications
    • Traumatic Brain Injury and Neurovascular Disturbances
    • Regulation of Appetite and Obesity

Papers in

    • Adipokines, Inflammation, and Metabolic Diseases 12
    • Adipose Tissue and Metabolism 7

Marc Lapointe

49 papers receiving 860 citations

Peers

Marc Lapointe
Comparison fields: 5 of 101
  • Neurology 135
  • Endocrine and Autonomic Systems 56
  • Immunology 177
  • Physiology 156
  • Epidemiology 188
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Citations per field
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Citations per year

Countries citing papers authored by Marc Lapointe

Since Specialization
Citations

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

Fields of papers citing papers by Marc Lapointe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008102
2 201148
3 200944
4 200742
5 201242
6 200241
7 201334
8 200832
9 201229
10 200127
11 200426
12 201426
13 201322
14 199921
15 201220
16 201319
17 201218
18 201318
19 201317
20 201416

About Marc Lapointe

Marc Lapointe is a scholar working on Epidemiology, Physiology, Immunology, Neurology and Molecular Biology, having authored 49 papers that have together received 882 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (12 papers), Adipose Tissue and Metabolism (7 papers), Complement system in diseases (6 papers), Receptor Mechanisms and Signaling (3 papers), Intracerebral and Subarachnoid Hemorrhage Research (3 papers), Digital Filter Design and Implementation (3 papers), Regulation of Appetite and Obesity (3 papers) and Pharmacological Effects and Toxicity Studies (3 papers). The work is most often cited by research in Neurology (135 citations), Endocrine and Autonomic Systems (56 citations), Immunology (177 citations), Physiology (156 citations) and Epidemiology (188 citations). Marc Lapointe has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Stephen J. Haines, Katherine Cianflone, Roxane Pouliot, Jacques Soucy, Jessica Jean, Danny Gauvreau, Pegah Poursharifi, Jonathan J. Halford, Katherine Cianflone and Huiling Lü. Their work appears in journals such as PLoS ONE, Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy, Journal of Visualized Experiments, Molecular and Cellular Endocrinology and Journal of Dermatological Science.

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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