Muriel Nobles

2.1k citations
38 papers · 1.5k indexed · h-index 22

Impact in

Papers in

Muriel Nobles

38 papers receiving 1.5k citations

Peers

Muriel Nobles
Comparison fields: 5 of 104
  • Sensory Systems 130
  • Cellular and Molecular Neuroscience 339
  • Cardiology and Cardiovascular Medicine 387
  • Molecular Biology 1.0k
  • Physiology 45
Replace Guilai Liu with:
Guilai Liu Germany
Seiko Kawano Japan
Ilia A. Yamboliev United States
Nicole A. Beard Australia
Bai‐Yan Li China
Carlos Muñoz Germany
Michael J. Karmilowicz United States
Andre Kamkin Russia
Evgeny Kobrinsky United States
Nicolas Bourmeyster France
Muriel Nobles relative to Guilai Liu Germany Guilai Liu's profile →
Citations per field
00.5×1.5×2.4×
Guilai Liu · 1×
Citations per year

Countries citing papers authored by Muriel Nobles

Since Specialization
Citations

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

Fields of papers citing papers by Muriel Nobles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201933
2 201714
3 201610
4 201527
5 2012128
6
The large-conductance Ca2+-activated K+ channel is essential for innate immunity (Retraction of vol 427, pg 853, 2004)
20107
7 201064
8 201017
9 200921
10 200774
11 200567
12 2003143
13 200186
14 200023
15 199815
16 199527
17 199210
18 199244
19 199136
20 199129

About Muriel Nobles

Muriel Nobles is a scholar working on Physiology, Sensory Systems, Cardiology and Cardiovascular Medicine, Aging and Cellular and Molecular Neuroscience, having authored 38 papers that have together received 1.5k indexed citations. Recurring topics across this work include Ion channel regulation and function (17 papers), Receptor Mechanisms and Signaling (13 papers), Cardiac electrophysiology and arrhythmias (12 papers), Ion Transport and Channel Regulation (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Click Chemistry and Applications (3 papers), Atrial Fibrillation Management and Outcomes (3 papers) and Ion Channels and Receptors (3 papers). The work is most often cited by research in Sensory Systems (130 citations), Cellular and Molecular Neuroscience (339 citations), Cardiology and Cardiovascular Medicine (387 citations), Molecular Biology (1.0k citations) and Physiology (45 citations). Muriel Nobles has collaborated with scholars based in United Kingdom, Germany and Spain. Frequent co-authors include Andrew Tinker, Amy Benians, Miguel A. Valverde, Christopher F. Higgins, Alessandro Sardini, Esther Vázquez, W. Rummel, Martin Diener, Joanna S. Amey and Karsten H. Weylandt. Their work appears in journals such as Journal of Biological Chemistry, American Journal of Physiology-Cell Physiology, Proceedings of the National Academy of Sciences, Physiological Genomics and European Journal of Pharmacology.

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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