Arunashis Sau

603 total citations
46 papers, 241 citations indexed

About

Arunashis Sau is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Arunashis Sau has authored 46 papers receiving a total of 241 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Cardiology and Cardiovascular Medicine, 4 papers in Surgery and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Arunashis Sau's work include Cardiac electrophysiology and arrhythmias (16 papers), ECG Monitoring and Analysis (15 papers) and Atrial Fibrillation Management and Outcomes (13 papers). Arunashis Sau is often cited by papers focused on Cardiac electrophysiology and arrhythmias (16 papers), ECG Monitoring and Analysis (15 papers) and Atrial Fibrillation Management and Outcomes (13 papers). Arunashis Sau collaborates with scholars based in United Kingdom, United States and Belgium. Arunashis Sau's co-authors include Fu Siong Ng, Nicholas S. Peters, Daniel B. Kramer, Jonathan W. Waks, Dárrel P. Francis, Phang Boon Lim, Markus B. Sikkel, James P. Howard, Kiran Haresh Kumar Patel and Zachary I. Whinnett and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

Arunashis Sau

35 papers receiving 239 citations

Peers

Countries citing papers authored by Arunashis Sau

Since Specialization

Citations

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

Fields of papers citing papers by Arunashis Sau

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arunashis Sau

This figure shows the co-authorship network connecting the top 25 collaborators of Arunashis Sau. A scholar is included among the top collaborators of Arunashis Sau 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 Arunashis Sau. Arunashis Sau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Artificial Intelligence–Enhanced Electrocardiography for Complete Heart Block Risk Stratification 2025 ·JAMA Cardiology ·Arunashis Sau, Henry Zhang, Joseph Barker, (unknown), (unknown), (unknown), (unknown), (unknown), Kathryn A. McGurk, (unknown), James S. Ware, Nicholas S. Peters, Daniel B. Kramer, Jonathan W. Waks, Fu Siong Ng	0
2	Prediction of incident atrial fibrillation: A comprehensive evaluation of conventional and artificial intelligence-enhanced approaches 2025 ·Heart Rhythm ·Arunashis Sau, (unknown), Joseph Barker, (unknown), (unknown), (unknown), (unknown), Kathryn A. McGurk, Nicholas S. Peters, Daniel B. Kramer, Jonathan W. Waks, James S. Ware, Fu Siong Ng	3
3	Deriving novel atrial fibrillation phenotypes using a tree-based artificial intelligence-enhanced electrocardiography approach 2025 ·npj Digital Medicine ·(unknown), (unknown), Joseph Barker, (unknown), (unknown), (unknown), Riyaz Somani, (unknown), Paolo Inglese, Lara Curran, Declan P. O’Regan, Nicholas S. Peters, Daniel Kramer, Jonathan W. Waks, Arunashis Sau, Fu Siong Ng	0
4	Impact of Pulmonary Vein Isolation on Atrial Fibrillation Organisation: Correlation of Intracardiac and Surface Electrocardiogram Measures 2025 ·Journal of Cardiovascular Electrophysiology ·(unknown), Arunashis Sau, Joseph Barker, (unknown), Norman Qureshi, Michael Koa‐Wing, Daniel Keene, Louisa Malcolme‐Lawes, David Lefroy, Nick Linton, (unknown), Amanda Varnava, Zachary I. Whinnett, Prapa Kanagaratnam, Danilo P. Mandic, Nicholas S. Peters, Fu Siong Ng	0
5	Circulating Cardiovascular Proteomic Associations With Genetics and Disease 2025 ·Circulation Genomic and Precision Medicine ·Kathryn A. McGurk, Lara Curran, Arunashis Sau, Fu Siong Ng, Brian P. Halliday, James S. Ware, Declan P. O’Regan	0
6	Artificial intelligence-enhanced electrocardiography to predict regurgitant valvular heart diseases: an international study 2025 ·European Heart Journal ·Yixiu Liang, Arunashis Sau, (unknown), Joseph Barker, (unknown), (unknown), (unknown), Zachary I. Whinnett, Nicholas S. Peters, Ziqing Yu, (unknown), Shuo Wang, Hongyang Lu, Daniel B. Kramer, Jonathan W. Waks, Yangang Su, Junbo Ge, Fu Siong Ng	2
7	Artificial intelligence-enhanced electrocardiography for the identification of a sex-related cardiovascular risk continuum: a retrospective cohort study 2025 ·The Lancet Digital Health ·Arunashis Sau, (unknown), (unknown), (unknown), Kathryn A. McGurk, Antônio H. Ribeiro, Antônio Luiz Pinho Ribeiro, Jennifer E. Ho, Nicholas S. Peters, James S. Ware, Upasana Tayal, Daniel B. Kramer, Jonathan W. Waks, Fu Siong Ng	8
8	Artificial intelligence-enhanced electrocardiography derived body mass index as a predictor of future cardiometabolic disease 2024 ·npj Digital Medicine ·(unknown), Arunashis Sau, (unknown), (unknown), Antônio H. Ribeiro, Kathryn A. McGurk, Sadia Khan, Danilo P. Mandic, William R. Scott, James S. Ware, Nicholas S. Peters, Antônio Luiz Pinho Ribeiro, Daniel B. Kramer, Jonathan W. Waks, Fu Siong Ng	9
9	The spatial ventricular gradient is associated with inducibility of ventricular arrhythmias during electrophysiology study 2024 ·Heart Rhythm ·(unknown), Hans F. Stabenau, Daniel B. Kramer, Arunashis Sau, Patricia Tung, Timothy Maher, Andrew H. Locke, Peter Zimetbaum, André d’Ávila, Nicholas S. Peters, Larisa G. Tereshchenko, Fu Siong Ng, Alfred E. Buxton, Jonathan W. Waks	1
10	British Cardiovascular Society/British Heart Foundation/British Atherosclerosis Society/British Society for Cardiovascular Research Young Investigator Award 2023 2023 ·Heart ·Arunashis Sau, (unknown), Maddalena Ardissino, Amrit Chowdhary, Krishnaraj S. Rathod, Sarah Hudson	1
11	Artificial intelligence–enabled electrocardiogram to distinguish atrioventricular re-entrant tachycardia from atrioventricular nodal re-entrant tachycardia 2023 ·PubMed ·Arunashis Sau, (unknown), Daniel B. Kramer, Jonathan W. Waks, Norman Qureshi, Michael Koa‐Wing, Daniel Keene, Louisa Malcolme‐Lawes, David Lefroy, Nick Linton, Phang Boon Lim, Amanda Varnava, Zachary I. Whinnett, Prapa Kanagaratnam, Danilo P. Mandic, Nicholas S. Peters, Fu Siong Ng	9
12	Machine learning-derived cycle length variability metrics predict spontaneously terminating ventricular tachycardia in implantable cardioverter defibrillator recipients 2023 ·European Heart Journal - Digital Health ·Arunashis Sau, (unknown), (unknown), (unknown), Ian Wright, Xinyang Li, (unknown), Norman Qureshi, Michael Koa‐Wing, Daniel Keene, Louisa Malcolme‐Lawes, Amanda Varnava, Nick Linton, Phang Boon Lim, David Lefroy, Prapa Kanagaratnam, Nicholas S. Peters, Zachary I. Whinnett, Fu Siong Ng	1
13	Identifying locations susceptible to micro-anatomical reentry using a spatial network representation of atrial fibre maps 2022 ·PLoS ONE ·Max Falkenberg, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Arunashis Sau, Fu Siong Ng, Jichao Zhao, Nicholas S. Peters, Kim Christensen	2
14	A fully-automated paper ECG digitisation algorithm using deep learning 2022 ·Scientific Reports ·(unknown), Kiran Haresh Kumar Patel, Xinyang Li, (unknown), (unknown), (unknown), Arunashis Sau, (unknown), Lin Sun, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Jonathan W. Waks, Daniel B. Kramer, Nicholas S. Peters, Fu Siong Ng	20
15	Meta-Analysis of Randomized Controlled Trials of Atrial Fibrillation Ablation With Pulmonary Vein Isolation Versus Without 2019 ·JACC. Clinical electrophysiology ·Arunashis Sau, James P. Howard, (unknown), João Ferreira‐Martins, (unknown), Phang Boon Lim, Prapa Kanagaratnam, Zachary I. Whinnett, Nicholas S. Peters, Markus B. Sikkel, Dárrel P. Francis, S.M. Afzal Sohaib	16
16	High-Density Electroanatomical Mapping to Identify Point of Epicardial to Endocardial Breakthrough in Perimitral Flutter 2017 ·JACC. Clinical electrophysiology ·Markus B. Sikkel, Vishal Luther, Arunashis Sau, (unknown), Fu Siong Ng, Phang Boon Lim	2
17	Cardioinhibitory and vasodepressor responses to different stressors on head-up tilt 2017 ·EP Europace ·Arunashis Sau, Patricia Taraborrelli, Philip Moore, Phang Boon Lim	0
18	Diagnostic role of head-up tilt test in patients with cough syncope 2016 ·EP Europace ·Roberto Mereu, Patricia Taraborrelli, Arunashis Sau, Alessandro Di Toro, Sandra Halim, Sajad Hayat, Luciano Bernardi, Dárrel P. Francis, Richard Sutton, Phang Boon Lim	8
19	A long-term follow-up of patients with prolonged asystole of greater than 15s on head-up tilt testing 2015 ·International Journal of Cardiology ·Arunashis Sau, Roberto Mereu, Patricia Taraborrelli, (unknown), Keith Willson, Sajad Hayat, Dárrel P. Francis, Richard Sutton, Phang Boon Lim	4
20	Diagnostic algorithm for syncope 2014 ·Autonomic Neuroscience ·Roberto Mereu, Arunashis Sau, Phang Boon Lim	3

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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