Sayan Sen

10.5k total citations · 1 hit paper
92 papers, 2.3k citations indexed

About

Sayan Sen is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Sayan Sen has authored 92 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Cardiology and Cardiovascular Medicine, 52 papers in Surgery and 48 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Sayan Sen's work include Cardiac Imaging and Diagnostics (48 papers), Coronary Interventions and Diagnostics (45 papers) and Cardiac Valve Diseases and Treatments (23 papers). Sayan Sen is often cited by papers focused on Cardiac Imaging and Diagnostics (48 papers), Coronary Interventions and Diagnostics (45 papers) and Cardiac Valve Diseases and Treatments (23 papers). Sayan Sen collaborates with scholars based in United Kingdom, Spain and Netherlands. Sayan Sen's co-authors include Justin E. Davies, Ricardo Petraco, Sukhjinder Nijjer, Dárrel P. Francis, Jamil Mayet, Javier Escaned, Yousif Ahmad, Christopher Cook, Matthew Shun‐Shin and Rasha Al‐Lamee and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Sayan Sen

85 papers receiving 2.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Coronary flow reserve and cardiovascular outcomes: a systematic review and meta-analysis

2021 154 citations Mihir A Kelshiker, Henry Seligman et al. European Heart Journal profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sayan Sen United Kingdom	26	1.6k	1.5k	1.4k	367	228	92	2.3k
Ricardo Petraco United Kingdom	27	1.6k 1.0×	1.6k 1.0×	1.4k 1.0×	460 1.3×	178 0.8×	78	2.4k
Marcus Wiemer Germany	22	1.5k 0.9×	1.4k 0.9×	583 0.4×	594 1.6×	163 0.7×	101	2.2k
Tom Adriaenssens Belgium	25	1.6k 1.0×	2.2k 1.4×	745 0.5×	555 1.5×	425 1.9×	131	3.0k
Sophia Vaina Greece	18	2.1k 1.3×	1.8k 1.1×	793 0.6×	588 1.6×	202 0.9×	50	2.7k
Fabio Sgura Italy	17	844 0.5×	977 0.6×	525 0.4×	319 0.9×	148 0.6×	50	1.5k
Yohei Sotomi Japan	28	2.0k 1.2×	1.8k 1.2×	703 0.5×	749 2.0×	212 0.9×	166	2.8k
William E. Katz United States	23	600 0.4×	1.5k 1.0×	632 0.5×	411 1.1×	223 1.0×	85	2.0k
Joseph Dens Belgium	20	972 0.6×	814 0.5×	330 0.2×	460 1.3×	156 0.7×	59	1.4k
Peter Barlis Australia	29	2.1k 1.3×	1.2k 0.8×	1.1k 0.8×	868 2.4×	513 2.3×	108	2.6k
Guilherme F. Attizzani United States	22	1.2k 0.8×	1.0k 0.7×	552 0.4×	620 1.7×	346 1.5×	123	1.8k

Countries citing papers authored by Sayan Sen

Since Specialization

Citations

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

Fields of papers citing papers by Sayan Sen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sayan Sen

This figure shows the co-authorship network connecting the top 25 collaborators of Sayan Sen. A scholar is included among the top collaborators of Sayan Sen 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 Sayan Sen. Sayan Sen 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

Chamié, Daniel, Mauro Echavarría‐Pinto, Ecaterina Cristea, et al.. (2024). Can Contrast Injections Cause or Propagate Coronary Injuries? Insights From Vessel and Guiding Catheter Hemodynamics. Journal of the Society for Cardiovascular Angiography & Interventions. 3(12). 102396–102396.

Ganesananthan, Sashiananthan, Christopher Rajkumar, Michael Foley, et al.. (2022). Cardiopulmonary exercise testing and efficacy of percutaneous coronary intervention: a substudy of the ORBITA trial. European Heart Journal. 43(33). 3132–3145. 13 indexed citations

Kelshiker, Mihir A, Henry Seligman, James P. Howard, et al.. (2022). CORONARY FLOW RESERVE AND CARDIOVASCULAR OUTCOMES: A SYSTEMATIC REVIEW AND META-ANALYSIS. Journal of the American College of Cardiology. 79(9). 989–989. 3 indexed citations

Seligman, Henry, Sameer Zaman, David S. Pitcher, et al.. (2021). Reusable snorkel masks adapted as particulate respirators. PLoS ONE. 16(4). e0249201–e0249201. 1 indexed citations

Kelshiker, Mihir A, Henry Seligman, James P. Howard, et al.. (2021). Coronary flow reserve and cardiovascular outcomes: a systematic review and meta-analysis. European Heart Journal. 43(16). 1582–1593. 154 indexed citations breakdown →

Foley, Michael, Christopher Rajkumar, Matthew Shun‐Shin, et al.. (2021). Achieving Optimal Medical Therapy: Insights From the ORBITA Trial. Journal of the American Heart Association. 10(3). e017381–e017381. 10 indexed citations

Seligman, Henry, Sayan Sen, Sukhjinder Nijjer, et al.. (2020). Management of Acute Coronary Syndromes During the Coronavirus Disease 2019 Pandemic: Deviations from Guidelines and Pragmatic Considerations for Patients and Healthcare Workers. Interventional Cardiology Reviews Research Resources. 15. e16–e16.

Malik, Iqbal, Ozan M. Demir, Punam Pabari, et al.. (2019). Double Utility of a Buddy Wire in Transseptal Transcatheter Mitral Intervention. JACC: Cardiovascular Interventions. 12(24). 2555–2557. 4 indexed citations

Iglesias, Juan F., Sophie Degrauwe, Yousif Ahmad, et al.. (2018). Instantaneous wave-free ratio: an adenosine-independent index to guide coronary revascularisation. Cardiovascular Medicine. 1 indexed citations

10.

Duggal, Bhanu, Jyothi Subramanian, Mona Duggal, et al.. (2018). Survival outcomes post percutaneous coronary intervention: Why the hype about stent type? Lessons from a healthcare system in India. PLoS ONE. 13(5). e0196830–e0196830. 8 indexed citations

11.

Danson, E., Peter Riis Hansen, Sayan Sen, et al.. (2016). Assessment, treatment, and prognostic implications of CAD in patients undergoing TAVI. Nature Reviews Cardiology. 13(5). 276–285. 39 indexed citations

12.

Broyd, Christopher, Sukhjinder Nijjer, Sayan Sen, et al.. (2015). CRT-706 Development Of Non-invasive Coronary Wave Intensity Analysis. JACC: Cardiovascular Interventions. 8(2). S45–S45. 1 indexed citations

13.

Ahmad, Yousif, Sukhjinder Nijjer, Christopher Cook, et al.. (2015). TCT-479 Patients consider PCI and CABG equal: Derivation of a novel patient-centered, quantitative analysis of Major Adverse Cardiac Events (MACE) and its application to trials comparing PCI to CABG. Journal of the American College of Cardiology. 66(15). B195–B196. 1 indexed citations

14.

Foin, Nicolas, Shimpei Nakatani, Christos V. Bourantas, et al.. (2014). TCT- 365 Incomplete Stent Apposition Causes High Shear Flow Disturbances and Delay in Neointimal Coverage as a Function of Strut-to-wall Detachment Distance. Journal of the American College of Cardiology. 64(11). B106–B107. 1 indexed citations

15.

Hoef, Tim P. van de, Ricardo Petraco, Martijn A. van Lavieren, et al.. (2013). TCT-634 Diagnostic accuracy of basal stenosis resistance index (BSR) is higher than that of instantaneous wave-free ratio (iFR): validation of basal stenosis resistance index in an independent cohort of simultaneous pressure and flow measurements. Journal of the American College of Cardiology. 62(18). B193–B193.

16.

Echavarría‐Pinto, Mauro, Sukhjinder Nijjer, Sayan Sen, et al.. (2013). TCT-631 Low coronary microcirculatory resistance associated to profound hypotension during intravenous adenosine infusion. Implications for the functional assessment of coronary stenoses.. Journal of the American College of Cardiology. 62(18). B191–B191.

17.

Foin, Nicolas, Alessio Mattesini, Matteo Ghione, et al.. (2013). Tools & Techniques Clinical: Optimising stenting strategy in bifurcation lesions with insights from in vitro bifurcation models. EuroIntervention. 9(7). 885–887. 20 indexed citations

18.

Foin, Nicolas, Jean Martial Mari, Sukhjinder Nijjer, et al.. (2013). Intracoronary imaging using attenuation-compensated optical coherence tomography allows better visualisation of coronary artery diseases. Cardiovascular revascularization medicine. 14(3). 139–143. 10 indexed citations

19.

Sen, Sayan, Kaleab Asrress, Ricardo Petraco, et al.. (2012). TCT-239 Does Adenosine Administration Improve Diagnostic Classification Of The Instantaneous Wave–Free Ratio (iFR)?. Journal of the American College of Cardiology. 60(17). B69–B69. 2 indexed citations

20.

Sen, Sayan, Javier Escaned, Dárrel P. Francis, & Justin E. Davies. (2012). Reply. Journal of the American College of Cardiology. 59(21). 1917–1918. 1 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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