Guy Lagaud

16 papers receiving 1.7k citations

Guy Lagaud's Hit Papers

Caveolin-1 Null Mice Are Viable but Show Evidence of Hyperproliferative and Vascular Abnormalities 2001 · 1.0k citations
1.0k0+8+16Years since publication2505007501000

Peers

Guy Lagaud
Comparison fields: 5 of 76
  • Cell Biology 1.1k
  • Physiology 504
  • Molecular Biology 975
  • Cardiology and Cardiovascular Medicine 285
  • Immunology and Allergy 64
Replace Grzegorz Sowa with:
Grzegorz Sowa United States
Cynthia Corley Mastick United States
Jeffrey B. Michel United States
Kenneth Song United States
Junko Kon Japan
Sylvain Galvani France
Hideo Ohta Japan
Angela Wirth Germany
Dmitry A. Goncharov United States
Laurent Belhassen France
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Citations per year

Countries citing papers authored by Guy Lagaud

Since Specialization
Citations

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

Fields of papers citing papers by Guy Lagaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1
Caveolin-1 Null Mice Are Viable but Show Evidence of Hyperproliferative and Vascular Abnormalities
Hit paper breakdown →
20011004
2 2002270
3 200194
4 200283
5 200466
6 200247
7 199642
8 199937
9 199536
10 201216
11 200914
12 200810
13 20179
14 20116
15 20076
16 19995

About Guy Lagaud

Guy Lagaud is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Cell Biology and Surgery, having authored 16 papers that have together received 1.7k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (4 papers), Neuropeptides and Animal Physiology (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Caveolin-1 and cellular processes (3 papers), Ion channel regulation and function (2 papers), Adenosine and Purinergic Signaling (2 papers), Inflammatory mediators and NSAID effects (2 papers) and Helicobacter pylori-related gastroenterology studies (2 papers). The work is most often cited by research in Cell Biology (1.1k citations), Physiology (504 citations), Molecular Biology (975 citations), Cardiology and Cardiovascular Medicine (285 citations) and Immunology and Allergy (64 citations). Guy Lagaud has collaborated with scholars based in United States, Canada and France. Frequent co-authors include George J. Christ, Michael P. Lisanti, Babak Razani, Burkhard Kneitz, Winfried Edelmann, Xiao Lan Zhang, Xiaobo Wang, Jeffery A. Engelman, Harry Hou and Carolyn B. Marks. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, Bioorganic & Medicinal Chemistry Letters, Journal of Pharmacology and Experimental Therapeutics, British Journal of Pharmacology and Advances in experimental medicine and biology.

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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