Andrew S.P. Sharp

5.1k total citations
16 papers, 533 citations indexed

About

Andrew S.P. Sharp is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Andrew S.P. Sharp has authored 16 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cardiology and Cardiovascular Medicine, 4 papers in Surgery and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Andrew S.P. Sharp's work include Blood Pressure and Hypertension Studies (10 papers), Migraine and Headache Studies (4 papers) and Cardiovascular Function and Risk Factors (3 papers). Andrew S.P. Sharp is often cited by papers focused on Blood Pressure and Hypertension Studies (10 papers), Migraine and Headache Studies (4 papers) and Cardiovascular Function and Risk Factors (3 papers). Andrew S.P. Sharp collaborates with scholars based in United Kingdom, United States and Australia. Andrew S.P. Sharp's co-authors include Jamil Mayet, Alun D. Hughes, Alice Stanton, Antonio Colombo, Iassen Michev, Simon Thom, Dárrel P. Francis, Robyn J. Tapp, Sheila Byrd and Andrew Zambanini and has published in prestigious journals such as Journal of the American College of Cardiology, Hypertension and European Heart Journal.

In The Last Decade

Andrew S.P. Sharp

15 papers receiving 512 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew S.P. Sharp United Kingdom 9 482 112 107 84 82 16 533
Michael Motro Israel 7 274 0.6× 85 0.8× 109 1.0× 48 0.6× 74 0.9× 9 546
Shukri David United States 13 372 0.8× 51 0.5× 38 0.4× 82 1.0× 118 1.4× 30 457
Marina De Marco Italy 14 463 1.0× 47 0.4× 49 0.5× 126 1.5× 78 1.0× 23 566
Ying‐Hsiang Lee Taiwan 13 521 1.1× 37 0.3× 39 0.4× 19 0.2× 68 0.8× 51 570
Marta Rescaldani Italy 12 565 1.2× 42 0.4× 31 0.3× 82 1.0× 123 1.5× 17 644
P. Iaria France 10 271 0.6× 38 0.3× 47 0.4× 27 0.3× 74 0.9× 27 443
Yingxian Luo China 4 565 1.2× 113 1.0× 21 0.2× 64 0.8× 83 1.0× 5 643
Eleonora Catini Italy 12 419 0.9× 42 0.4× 36 0.3× 134 1.6× 41 0.5× 15 530
Mari Odaira Japan 14 414 0.9× 126 1.1× 32 0.3× 30 0.4× 69 0.8× 23 521
FG Dunn United Kingdom 9 242 0.5× 68 0.6× 39 0.4× 44 0.5× 75 0.9× 25 360

Countries citing papers authored by Andrew S.P. Sharp

Since Specialization
Citations

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

Fields of papers citing papers by Andrew S.P. Sharp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew S.P. Sharp. 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 Andrew S.P. Sharp. The network helps show where Andrew S.P. Sharp may publish in the future.

Co-authorship network of co-authors of Andrew S.P. Sharp

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

All Works

16 of 16 papers shown
1.
Sato, Yu, Andrew S.P. Sharp, Felix Mahfoud, et al.. (2023). Translational value of preclinical models for renal denervation: a histological comparison of human versus porcine renal nerve anatomy. EuroIntervention. 18(13). e1120–e1128. 6 indexed citations
2.
Anning, Christine, Lindsay Wilkes, Claire Ball, et al.. (2022). Cross-cultural adaptation of the Spanish MINICHAL instrument into English for use in the United Kingdom. Health and Quality of Life Outcomes. 20(1). 39–39. 2 indexed citations
3.
Townsend, Raymond R., Antony Walton, Douglas A. Hettrick, et al.. (2020). Review and meta-analysis of renal artery damage following percutaneous renal denervation with radiofrequency renal artery ablation. EuroIntervention. 16(1). 89–96. 59 indexed citations
4.
Lobo, Melvin D., Andrew S.P. Sharp, Vikas Kapil, et al.. (2019). Joint UK societies’ 2019 consensus statement on renal denervation. Heart. 105(19). 1456–1463. 20 indexed citations
5.
Dasgupta, Indranil & Andrew S.P. Sharp. (2019). Renal sympathetic denervation for treatment of hypertension. Current Opinion in Nephrology & Hypertension. 28(5). 498–506. 6 indexed citations
6.
Weber, Michael A., Felix Mahfoud, Roland E. Schmieder, et al.. (2019). Renal Denervation for Treating Hypertension. JACC: Cardiovascular Interventions. 12(12). 1095–1105. 55 indexed citations
7.
Sharp, Andrew S.P., Stefan Tunev, Markus P. Schlaich, et al.. (2019). TCT-607 Optimizing Safety and Efficacy of Lesion Formation for Percutaneous Renal Denervation: Human and Porcine Histological Analysis. Journal of the American College of Cardiology. 74(13). B596–B596. 1 indexed citations
8.
Kirtane, Ajay J., Roland E. Schmieder, Felix Mahfoud, et al.. (2018). TCT-29 Procedural and anatomic predictors of response in RADIANCE-HTN SOLO: a multicenter, randomized, sham-controlled trial of endovascular ultrasound renal denervation. Journal of the American College of Cardiology. 72(13). B13–B13. 1 indexed citations
9.
Sharp, Andrew S.P., Manish Saxena, & Melvin D. Lobo. (2018). Renal artery sympathetic denervation: Back on track!. European Heart Journal. 39(46). 4056–4057.
10.
Schmieder, Roland E., Christian Ott, Stefan W. Toennes, et al.. (2017). Phase II randomized sham-controlled study of renal denervation for individuals with uncontrolled hypertension – WAVE IV. Journal of Hypertension. 36(3). 680–689. 47 indexed citations
11.
Barron, Anthony, Alun D. Hughes, Andrew S.P. Sharp, et al.. (2013). Long-Term Antihypertensive Treatment Fails to Improve E/e′ Despite Regression of Left Ventricular Mass. Hypertension. 63(2). 252–258. 19 indexed citations
12.
Sharp, Andrew S.P., Robyn J. Tapp, Simon Thom, et al.. (2009). Tissue Doppler E/E' ratio is a powerful predictor of primary cardiac events in a hypertensive population: an ASCOT substudy. European Heart Journal. 31(6). 747–752. 156 indexed citations
13.
Sharp, Andrew S.P., Iassen Michev, & Antonio Colombo. (2009). First trans‐axillary implantation of Edwards Sapien valve to treat an incompetent aortic bioprosthesis. Catheterization and Cardiovascular Interventions. 75(4). 507–510. 27 indexed citations
14.
Sharp, Andrew S.P., Iassen Michev, Francesco Maisano, et al.. (2009). A new technique for vascular access management in transcatheter aortic valve implantation. Catheterization and Cardiovascular Interventions. 75(5). 784–793. 87 indexed citations
15.
Sharp, Andrew S.P., Robyn J. Tapp, Dárrel P. Francis, et al.. (2008). Ethnicity and Left Ventricular Diastolic Function in Hypertension. Journal of the American College of Cardiology. 52(12). 1015–1021. 41 indexed citations
16.
Sharp, Andrew S.P. & Jamil Mayet. (2002). Regression of left ventricular hypertrophy: hoping for a longer life. Journal of the Renin-Angiotensin-Aldosterone System. 3(3). 141–144. 6 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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