Guy Lagaud

17 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 · 1k citations
1k0+8+16Years since publication2505007501k

Peers

Guy Lagaud
Comparison fields: 5 of 75
  • Cell Biology 955
  • Physiology 41
  • Physiology 219
  • Neurology 64
  • Molecular Biology 320
Replace Grzegorz Sowa with:
Grzegorz Sowa United States
Xiao Lan Zhang United States
Vladimir P. Shirinsky Russia
Julián Albarrán-Juárez Germany
Carlos O. Lizama United States
R. Brian Doctor United States
Michael P. Walsh Canada
Cynthia M. Gallant United States
Harmandeep Kaur India
Patricia L. St. John United States
Guy Lagaud relative to Grzegorz Sowa United States Grzegorz Sowa's profile →
Citations per field
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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

17 of 17 papers shown
#Work
1
Caveolin-1 Null Mice Are Viable but Show Evidence of Hyperproliferative and Vascular Abnormalities
Hit paper breakdown →
20011018
2 2002267
3 200194
4 200281
5 200467
6 200246
7 199642
8 199938
9 199536
10 200634
11 201215
12 200914
13 200810
14 20179
15 20076
16 20116
17 19995

About Guy Lagaud

Guy Lagaud is a scholar working on Physiology, Cell Biology, Cellular and Molecular Neuroscience, Molecular Biology and Physiology, having authored 17 papers that have together received 1.8k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (4 papers), Nitric Oxide and Endothelin Effects (3 papers), Caveolin-1 and cellular processes (3 papers), Neuropeptides and Animal Physiology (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers), Optical Imaging and Spectroscopy Techniques (1 paper) and Traumatic Brain Injury and Neurovascular Disturbances (1 paper). The work is most often cited by research in Cell Biology (955 citations), Physiology (41 citations), Physiology (219 citations), Neurology (64 citations) and Molecular Biology (320 citations). Guy Lagaud has collaborated with scholars based in United States, Canada and France. Frequent co-authors include George Joseph Christ, Michael P. Lisanti, Xiao Lan Zhang, Winfried Edelmann, Jeffery A. Engelman, Burkhard Kneitz, Xiaobo Wang, Babak Razani, Harry Hou and William Schubert. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, Journal of Pharmacology and Experimental Therapeutics, British Journal of Pharmacology, Bioorganic & Medicinal Chemistry Letters and The Journal of Physiology.

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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