Kay Millar

924 citations
32 papers · 692 · h-index 15

Impact in

Papers in

Kay Millar

30 papers receiving 555 citations

Peers

Kay Millar
Comparison fields: 5 of 62
  • Cardiology and Cardiovascular Medicine 604
  • Radiology, Nuclear Medicine and Imaging 95
  • Emergency Medicine 28
  • Cellular and Molecular Neuroscience 44
  • Neurology 26
Replace R. M. SCHUILENBURG with:
R. M. SCHUILENBURG Netherlands
Ernest W. Reynolds United States
Nellis A. Smith United States
N El-Sherif United States
Clifford J. Garratt United Kingdom
William A.H. MacLean United States
Saburo Mashima Japan
Fred W. Lindemans Netherlands
Allessie Ma Netherlands
Ardeshir Farshidi United States
Kay Millar relative to R. M. SCHUILENBURG Netherlands R. M. SCHUILENBURG's profile →
Citations per field
00.5×1.5×1.8×
R. M. SCHUILENBURG · 1×
Citations per year

Countries citing papers authored by Kay Millar

Since Specialization
Citations

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

Fields of papers citing papers by Kay Millar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1972107
2 197584
3 197763
4 196847
5 196942
6 197139
7 196837
8 196934
9 197132
10 197331
11 197127
12 199321
13 197021
14 196615
15 197414
16 197413
17 19719
18 19728
19 19757
20 19706

About Kay Millar

Kay Millar is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, Molecular Biology and Dermatology, having authored 32 papers that have together received 692 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (19 papers), Cardiac Arrhythmias and Treatments (12 papers), Cardiac pacing and defibrillation studies (7 papers), ECG Monitoring and Analysis (6 papers), Heart Rate Variability and Autonomic Control (4 papers), Cardiac Imaging and Diagnostics (3 papers), Non-Invasive Vital Sign Monitoring (2 papers) and Cardiac Valve Diseases and Treatments (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (604 citations), Radiology, Nuclear Medicine and Imaging (95 citations), Emergency Medicine (28 citations), Cellular and Molecular Neuroscience (44 citations) and Neurology (26 citations). Kay Millar has collaborated with scholars based in United States, South Africa and Japan. Frequent co-authors include J.A. Abildskov, Mary Jo Burgess, John A. Meyer, Roland F. Wyatt, Larry S. Green, G. Michael Vincent, Robert L. Lux, J S Geddes, Thomas N. James and Ferdinand Urthaler. Their work appears in journals such as The American Journal of Cardiology, American Heart Journal, Circulation, Journal of Thoracic and Cardiovascular Surgery and American Journal of Physiology-Legacy Content.

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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