Samuel Vennin

498 total citations
15 papers, 308 citations indexed

About

Samuel Vennin is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Samuel Vennin has authored 15 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cardiology and Cardiovascular Medicine, 5 papers in Surgery and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Samuel Vennin's work include Cardiovascular Health and Disease Prevention (13 papers), Blood Pressure and Hypertension Studies (8 papers) and Cardiovascular Function and Risk Factors (5 papers). Samuel Vennin is often cited by papers focused on Cardiovascular Health and Disease Prevention (13 papers), Blood Pressure and Hypertension Studies (8 papers) and Cardiovascular Function and Risk Factors (5 papers). Samuel Vennin collaborates with scholars based in United Kingdom, Russia and France. Samuel Vennin's co-authors include Jordi Alastruey, Phil Chowienczyk, Ye Li, Peter Charlton, Jorge Mariscal Harana, Marie Willemet, Henry Fok, Haotian Gu, Brian Clapp and Vasiliki Bikia and has published in prestigious journals such as Hypertension, European Heart Journal and Journal of Biomechanics.

In The Last Decade

Samuel Vennin

14 papers receiving 305 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samuel Vennin United Kingdom 7 261 147 105 40 25 15 308
Jorge Mariscal Harana United Kingdom 7 208 0.8× 118 0.8× 85 0.8× 70 1.8× 26 1.0× 15 293
Vasiliki Bikia Switzerland 10 201 0.8× 80 0.5× 78 0.7× 33 0.8× 40 1.6× 35 243
Syed Ghufran Khalid United Kingdom 8 219 0.8× 244 1.7× 152 1.4× 57 1.4× 33 1.3× 17 335
M. Sugawara Japan 7 276 1.1× 110 0.7× 102 1.0× 83 2.1× 64 2.6× 18 358
Thomas E. Fastl Austria 7 179 0.7× 89 0.6× 47 0.4× 28 0.7× 36 1.4× 10 261
Georg Noelker Germany 8 564 2.2× 92 0.6× 88 0.8× 35 0.9× 43 1.7× 15 675
Sundip J. Patel United Kingdom 5 365 1.4× 112 0.8× 98 0.9× 53 1.3× 85 3.4× 7 413
Hans‐Heinrich Minden Germany 6 273 1.0× 146 1.0× 196 1.9× 23 0.6× 30 1.2× 11 360
Lorenzo Rossini United States 9 181 0.7× 87 0.6× 83 0.8× 50 1.3× 22 0.9× 13 250
Andrew M. Eibl Canada 10 145 0.6× 146 1.0× 178 1.7× 32 0.8× 13 0.5× 22 251

Countries citing papers authored by Samuel Vennin

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Vennin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel Vennin

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

All Works

15 of 15 papers shown
1.
Georgiopoulos, Georgios, Luca Faconti, Stefano Figliozzi, et al.. (2024). Ethnicity differences in geometric remodelling and myocardial composition in hypertension unveiled by cardiovascular magnetic resonance. European Heart Journal - Cardiovascular Imaging. 25(7). 901–911. 1 indexed citations
2.
Xu, Kai, Jordi Alastruey, Samuel Vennin, et al.. (2024). Patient-specific non-invasive estimation of the aortic blood pressure waveform by ultrasound and tonometry. Computer Methods and Programs in Biomedicine. 247. 108082–108082. 1 indexed citations
3.
Alastruey, Jordi, Peter Charlton, Vasiliki Bikia, et al.. (2023). Arterial pulse wave modeling and analysis for vascular-age studies: a review from VascAgeNet. American Journal of Physiology-Heart and Circulatory Physiology. 325(1). H1–H29. 25 indexed citations
4.
Georgiopoulos, Georgios, Luca Faconti, Samuel Vennin, et al.. (2022). Ethnicity-specific myocardial remodelling in hypertensive heart disease by multi-parametric cardiovascular magnetic resonance. European Heart Journal. 43(Supplement_2).
5.
Vennin, Samuel, Ye Li, Jorge Mariscal Harana, et al.. (2021). Novel Pressure Wave Separation Analysis for Cardiovascular Function Assessment Highlights Major Role of Aortic Root. IEEE Transactions on Biomedical Engineering. 69(5). 1707–1716. 5 indexed citations
6.
Georgiopoulos, Georgios, Luca Faconti, Samuel Vennin, et al.. (2021). In-depth phenotyping by cardiovascular magnetic resonance uncovering differences between ethnic groups in hypertensive heart disease. European Heart Journal. 42(Supplement_1). 1 indexed citations
7.
Li, Ye, Antoine Guilcher, Peter Charlton, et al.. (2021). Relationship between fiducial points on the peripheral and central blood pressure waveforms: rate of rise of the central waveform is a determinant of peripheral systolic blood pressure. American Journal of Physiology-Heart and Circulatory Physiology. 320(4). H1601–H1608. 4 indexed citations
8.
Harana, Jorge Mariscal, Peter Charlton, Samuel Vennin, et al.. (2020). Estimating central blood pressure from aortic flow: development and assessment of algorithms. American Journal of Physiology-Heart and Circulatory Physiology. 320(2). H494–H510. 24 indexed citations
9.
Li, Ye, Benyu Jiang, Louise Keehn, et al.. (2019). Hemodynamic Mechanism of the Age-Related Increase in Pulse Pressure in Women. Hypertension. 73(5). 1018–1024. 14 indexed citations
10.
Charlton, Peter, Jorge Mariscal Harana, Samuel Vennin, et al.. (2019). Modeling arterial pulse waves in healthy aging: a database for in silico evaluation of hemodynamics and pulse wave indexes. American Journal of Physiology-Heart and Circulatory Physiology. 317(5). H1062–H1085. 153 indexed citations
11.
Charlton, Peter, Jorge Mariscal Harana, Samuel Vennin, et al.. (2018). Modelling arterial pulse wave propagation during healthy ageing. 2 indexed citations
12.
Charlton, Peter, Jorge Mariscal Harana, Samuel Vennin, Phil Chowienczyk, & Jordi Alastruey. (2018). A Database For Developing Pulse Wave Analysis Algorithms. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
13.
Vennin, Samuel, Ye Li, Marie Willemet, et al.. (2017). Identifying Hemodynamic Determinants of Pulse Pressure. Hypertension. 70(6). 1176–1182. 32 indexed citations
14.
Willemet, Marie, Samuel Vennin, & Jordi Alastruey. (2016). Computational assessment of hemodynamics-based diagnostic tools using a database of virtual subjects: Application to three case studies. Journal of Biomechanics. 49(16). 3908–3914. 22 indexed citations
15.
Vennin, Samuel, Ye Li, Henry Fok, et al.. (2015). Noninvasive calculation of the aortic blood pressure waveform from the flow velocity waveform: a proof of concept. American Journal of Physiology-Heart and Circulatory Physiology. 309(5). H969–H976. 22 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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