Daniel Vial

714 citations
14 papers · 581 · h-index 11

Impact in

Papers in

    • Receptor Mechanisms and Signaling 4
    • Protein Kinase Regulation and GTPase Signaling 3
    • Ion channel regulation and function 2
    • Cell Adhesion Molecules Research 5

Daniel Vial

14 papers receiving 572 citations

Peers

Daniel Vial
Comparison fields: 5 of 77
  • Endocrine and Autonomic Systems 64
  • Immunology and Allergy 46
  • Cellular and Molecular Neuroscience 87
  • Pulmonary and Respiratory Medicine 137
  • Biochemistry 32
Replace Yoshikazu Morishita with:
Yoshikazu Morishita Japan
Tiziana Adage Austria
R K Chawla United States
Mei Nie United Kingdom
Noriko Nomura Japan
A. Wollin Canada
Norma P. Stimler-Gerard United States
S Maśliński Poland
Joseph W. Yang United States
Victor Babich United States
Daniel Vial relative to Yoshikazu Morishita Japan Yoshikazu Morishita's profile →
Citations per field
00.5×3.2×
Yoshikazu Morishita · 1×
Citations per year

Countries citing papers authored by Daniel Vial

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Vial

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 1998149
2 1995116
3 199791
4 201236
5 199336
6 200831
7 199528
8 199921
9 199820
10 200314
11 200612
12 200010
13 199710
14 20157

About Daniel Vial

Daniel Vial is a scholar working on Molecular Biology, Immunology and Allergy, Cancer Research, Pulmonary and Respiratory Medicine and Cellular and Molecular Neuroscience, having authored 14 papers that have together received 581 indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (5 papers), Protease and Inhibitor Mechanisms (4 papers), Receptor Mechanisms and Signaling (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Neonatal Respiratory Health Research (3 papers), Neuroscience of respiration and sleep (2 papers), Nitric Oxide and Endothelin Effects (2 papers) and Ion channel regulation and function (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (64 citations), Immunology and Allergy (46 citations), Cellular and Molecular Neuroscience (87 citations), Pulmonary and Respiratory Medicine (137 citations) and Biochemistry (32 citations). Daniel Vial has collaborated with scholars based in France, United States and Brazil. Frequent co-authors include Daniele Piomelli, Paula J. McKeown‐Longo, Lhousseine Touqui, Nathalie Havet, Laurence Arbibe, B.B. Vargaftig, Isabelle Rosinski‐Chupin, M Huerre, Kamen Koumanov and Dennis R. Voelker. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Immunology, Journal of Neurochemistry, Biochemical Pharmacology and American Journal of Respiratory and Critical Care Medicine.

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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