Mark Butlin

3.5k total citations
131 papers, 2.5k citations indexed

About

Mark Butlin is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Biomedical Engineering. According to data from OpenAlex, Mark Butlin has authored 131 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 112 papers in Cardiology and Cardiovascular Medicine, 36 papers in Surgery and 29 papers in Biomedical Engineering. Recurrent topics in Mark Butlin's work include Cardiovascular Health and Disease Prevention (92 papers), Blood Pressure and Hypertension Studies (50 papers) and Heart Rate Variability and Autonomic Control (39 papers). Mark Butlin is often cited by papers focused on Cardiovascular Health and Disease Prevention (92 papers), Blood Pressure and Hypertension Studies (50 papers) and Heart Rate Variability and Autonomic Control (39 papers). Mark Butlin collaborates with scholars based in Australia, China and United States. Mark Butlin's co-authors include Alberto Avolio, Isabella Tan, Ahmad Qasem, Ian B. Wilkinson, Carmel M. McEniery, Bart Spronck, Stacey S. Hickson, Hanguang Xiao, Tammo Delhaas and Koen D. Reesink and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Mark Butlin

120 papers receiving 2.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mark Butlin Australia 25 1.9k 579 506 457 287 131 2.5k
Jonny Hisdal Norway 25 906 0.5× 276 0.5× 518 1.0× 476 1.0× 336 1.2× 135 2.3k
Lorenza Pratali Italy 30 1.5k 0.8× 244 0.4× 388 0.8× 390 0.9× 311 1.1× 88 2.8k
Erez Nevo United States 16 3.4k 1.8× 537 0.9× 804 1.6× 359 0.8× 92 0.3× 35 3.7k
Atsushi Amano Japan 23 920 0.5× 165 0.3× 805 1.6× 341 0.7× 154 0.5× 187 1.8k
Ioannis Kallikazaros Greece 32 1.8k 0.9× 177 0.3× 653 1.3× 581 1.3× 275 1.0× 145 2.7k
Jamie Hamilton United States 15 2.0k 1.1× 359 0.6× 366 0.7× 286 0.6× 205 0.7× 30 3.6k
Tuomo Nieminen Finland 31 1.7k 0.9× 237 0.4× 369 0.7× 162 0.4× 164 0.6× 126 2.6k
Taishiro Chikamori Japan 24 1.9k 1.0× 218 0.4× 616 1.2× 394 0.9× 145 0.5× 154 2.8k
Hidetsugu Asanoi Japan 27 1.9k 1.0× 280 0.5× 470 0.9× 373 0.8× 279 1.0× 133 2.4k
Markku J. Ikäheimo Finland 27 2.3k 1.2× 430 0.7× 609 1.2× 199 0.4× 174 0.6× 81 2.9k

Countries citing papers authored by Mark Butlin

Since Specialization
Citations

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

Fields of papers citing papers by Mark Butlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Butlin

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Butlin. A scholar is included among the top collaborators of Mark Butlin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mark Butlin. Mark Butlin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Nayak, Aditi, et al.. (2023). Nanosensor Technologies and the Digital Transformation of Healthcare. Personalized Medicine. 20(3). 251–269. 1 indexed citations
2.
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Celler, Branko G., et al.. (2023). CAN RECORDING KOROTKOFF SOUNDS DURING BRACHIAL CUFF INFLATION PROVIDE MORE ACCURATE NON-INVASIVE ESTIMATES OF INTRA-ARTERIAL BLOOD PRESSURE?. Journal of Hypertension. 41(Suppl 3). e9–e9. 1 indexed citations
4.
5.
Xiao, Hanguang, Alberto Avolio, Kai Chen, et al.. (2022). Estimation of cardiac stroke volume from radial pulse waveform by artificial neural network. Computer Methods and Programs in Biomedicine. 218. 106738–106738. 10 indexed citations
6.
Wang, Qian, Di Cheng, Isabella Tan, et al.. (2022). Disparate Associations of 24-h Central Aortic and Brachial Cuff Blood Pressure With Hypertension-Mediated Organ Damage and Cardiovascular Risk. Frontiers in Cardiovascular Medicine. 9. 795509–795509. 5 indexed citations
7.
Tan, Isabella, et al.. (2021). Fatty Liver Index is Positively Associated with Arterial Stiffness in a Chinese Cohort Undergoing Health Assessment. Artery Research. 27(4). 151–158. 1 indexed citations
8.
White, Sarah J., et al.. (2021). Correlation of patient- and clinician-assessment of pain: comparing physiotherapy and general practice. Australian Journal of Primary Health. 27(4). 291–296. 1 indexed citations
9.
Cox, James M., et al.. (2021). Contactless video-based photoplethysmography technique comparison investigating pulse transit time estimation of arterial blood pressure. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2021. 5650–5653. 6 indexed citations
10.
Deng, Xueqin, et al.. (2019). Pulse wave velocity is decreased with obesity in an elderly Chinese population. Journal of Clinical Hypertension. 21(9). 1379–1385. 14 indexed citations
11.
Wang, Weiliang, Hong Zhang, Isabella Tan, et al.. (2019). Osteoporosis is inversely associated with arterial stiffness in the elderly: An investigation using the Osteoporosis Self‐assessment Tool for Asians index in an elderly Chinese cohort. Journal of Clinical Hypertension. 21(3). 405–411. 5 indexed citations
12.
Wang, Qian, et al.. (2019). Impact of new hypertension guidelines on target organ damage screening in a Shanghai community‐dwelling population. Journal of Clinical Hypertension. 21(10). 1450–1455. 2 indexed citations
13.
Aminuddin, Amilia, Isabella Tan, Mark Butlin, et al.. (2018). Effect of increasing heart rate on finger photoplethysmography fitness index (PPGF) in subjects with implanted cardiac pacemakers. PLoS ONE. 13(11). e0207301–e0207301. 12 indexed citations
14.
Pattamatta, Ushasree, et al.. (2017). Intereye comparison of femtosecond laser–assisted cataract surgery capsulotomy and manual capsulorhexis edge strength. Journal of Cataract & Refractive Surgery. 43(4). 480–485. 15 indexed citations
15.
Xiao, Hanguang, Mark Butlin, Isabella Tan, & Alberto Avolio. (2017). PWPSim: A new simulation tool of pulse wave propagation in the human arterial tree. PubMed. 2017. 3672–3675. 3 indexed citations
16.
Spronck, Bart, Alberto Avolio, Isabella Tan, et al.. (2016). 10.9 ARTERIAL STIFFNESS INDEX BETA AND CARDIO-ANKLE VASCULAR INDEX INHERENTLY DEPEND ON BLOOD PRESSURE, BUT CAN BE READILY CORRECTED. Artery Research. 16(C). 73–73. 1 indexed citations
17.
Barodka, Viachaslau, Theodore P. Abraham, Jochen Steppan, et al.. (2014). Measuring Ascending Aortic Stiffness <em>In Vivo</em> in Mice Using Ultrasound. Journal of Visualized Experiments. 7 indexed citations
18.
Butlin, Mark, A. Qasem, & Alberto Avolio. (2012). Estimation of central aortic pressure waveform features derived from the brachial cuff volume displacement waveform. PubMed. 2012. 2591–2594. 68 indexed citations
19.
Kampus, Priit, Mihkel Zilmer, Jaan Eha, et al.. (2012). Effect of vitamin D on aortic remodeling in streptozotocin-induced diabetes. Cardiovascular Diabetology. 11(1). 58–58. 51 indexed citations
20.
Hickson, Stacey S., et al.. (2009). Validity and repeatability of the Vicorder apparatus: a comparison with the SphygmoCor device. Hypertension Research. 32(12). 1079–1085. 142 indexed citations

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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