K. W. Ranatunga

3.1k citations
88 papers · 2.6k · h-index 29

Impact in

Papers in

K. W. Ranatunga

87 papers receiving 2.6k citations

Peers

K. W. Ranatunga
Comparison fields: 5 of 95
  • Cardiology and Cardiovascular Medicine 1.6k
  • Orthopedics and Sports Medicine 435
  • Biomedical Engineering 1.4k
  • Rehabilitation 145
  • Cell Biology 376
Replace N. A. Curtin with:
N. A. Curtin United Kingdom
Dilson E. Rassier Canada
Monica Canepari Italy
T.R. Leonard Canada
Lincoln E. Ford United States
C. J. Barclay Australia
Haruo Sugi Japan
Archibald Vivian Hill United Kingdom
Jan Lännergren Sweden
Toshitada Yoshioka Japan
K. W. Ranatunga relative to N. A. Curtin United Kingdom N. A. Curtin's profile →
Citations per field
00.5×1.7×
N. A. Curtin · 1×
Citations per year

Countries citing papers authored by K. W. Ranatunga

Since Specialization
Citations

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

Fields of papers citing papers by K. W. Ranatunga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. W. Ranatunga. 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 K. W. Ranatunga. The network helps show where K. W. Ranatunga may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1982177
2 1984161
3 1987129
4 1994110
5 2001103
6 198799
7 200698
8 199194
9 200685
10 199679
11 199866
12 200765
13 198363
14 199063
15 199862
16 199657
17 199450
18 199944
19 200243
20 197741

About K. W. Ranatunga

K. W. Ranatunga is a scholar working on Biomedical Engineering, Cardiology and Cardiovascular Medicine, Molecular Biology, Cell Biology and Atomic and Molecular Physics, and Optics, having authored 88 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (55 papers), Muscle activation and electromyography studies (51 papers), Muscle Physiology and Disorders (45 papers), Advanced Sensor and Energy Harvesting Materials (17 papers), Cellular Mechanics and Interactions (14 papers), Force Microscopy Techniques and Applications (13 papers), Cardiovascular Effects of Exercise (10 papers) and Neuroscience and Neural Engineering (7 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.6k citations), Orthopedics and Sports Medicine (435 citations), Biomedical Engineering (1.4k citations), Rehabilitation (145 citations) and Cell Biology (376 citations). K. W. Ranatunga has collaborated with scholars based in United Kingdom, Germany and Switzerland. Frequent co-authors include GM Mutungi, Michael A. Geeves, Gerald Offer, Gavin J. Pinniger, B. Sharpe, Steven R. Wylie, Yale E. Goldman, James A. McCray, Paul Thomas and Daniel F.A. McKillop. Their work appears in journals such as The Journal of Physiology, Journal of Muscle Research and Cell Motility, Experimental Neurology, Biophysical Journal and Muscle & Nerve.

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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