D Noble

644 citations
23 papers · 539 · h-index 11

Impact in

Papers in

D Noble

19 papers receiving 475 citations

Peers

D Noble
Comparison fields: 5 of 86
  • Cardiology and Cardiovascular Medicine 335
  • Cellular and Molecular Neuroscience 124
  • Molecular Biology 327
  • Electrochemistry 25
  • Bioengineering 15
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Citations per year

Countries citing papers authored by D Noble

Since Specialization
Citations

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

Fields of papers citing papers by D Noble

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980165
2
The initiation of the heart beat.
196693
3 200360
4 201054
5 200331
6 201129
7 196126
8 198321
9 199514
10 198413
11
Ionic mechanisms controlling the action potential duration and the timing of repolarization.
198613
12
Ionic mechanisms of rhythmic firing.
19834
13
Comments on 'A model for human ventricular tissue' : reply
20054
14 19953
15 20102
16 20112
17
Advanced computational model of central and peripheral rabbit sino-atrial node cells
20001
18 19831
19
Kinetics of slow component of potassium current in cardiac purkinje fibres.
19681
20
Effect of adrenaline on the potassium current reversal potential in cardiac Purkinje fibres of the sheep [proceedings].
19771

About D Noble

D Noble is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Electrical and Electronic Engineering, Surgery and Control and Systems Engineering, having authored 23 papers that have together received 539 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (13 papers), ECG Monitoring and Analysis (3 papers), Ion channel regulation and function (2 papers), Cardiac Arrhythmias and Treatments (1 paper), Toxin Mechanisms and Immunotoxins (1 paper), Hemodynamic Monitoring and Therapy (1 paper), Neural dynamics and brain function (1 paper) and Chemistry and Chemical Engineering (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (335 citations), Cellular and Molecular Neuroscience (124 citations), Molecular Biology (327 citations), Electrochemistry (25 citations) and Bioengineering (15 citations). D Noble has collaborated with scholars based in United Kingdom, United States and Bulgaria. Frequent co-authors include Peter Köhl, Alan Garny, Gregory Pierce, Blanca Rodríguez, Vicente Grau, David J. Gavaghan, Kevin Burrage, Howard Swanton, K. Fox and Peter Taggart. Their work appears in journals such as Cardiovascular Research, International Journal of Bifurcation and Chaos, Analytical Chemistry, European Heart Journal and Journal of Molecular and Cellular Cardiology.

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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