Stephen Harrap

21.9k total citations
221 papers, 8.3k citations indexed

About

Stephen Harrap is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Stephen Harrap has authored 221 papers receiving a total of 8.3k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Cardiology and Cardiovascular Medicine, 81 papers in Endocrinology, Diabetes and Metabolism and 41 papers in Molecular Biology. Recurrent topics in Stephen Harrap's work include Blood Pressure and Hypertension Studies (44 papers), Hormonal Regulation and Hypertension (38 papers) and Renin-Angiotensin System Studies (33 papers). Stephen Harrap is often cited by papers focused on Blood Pressure and Hypertension Studies (44 papers), Hormonal Regulation and Hypertension (38 papers) and Renin-Angiotensin System Studies (33 papers). Stephen Harrap collaborates with scholars based in Australia, United Kingdom and United States. Stephen Harrap's co-authors include Justine A. Ellis, John Chalmers, Mark Woodward, Margaret Susanne Stebbing, Sophia Zoungas, Pavel Hamet, Neil R Poulter, Anushka Patel, Michel Marre and John L. Hopper and has published in prestigious journals such as The Lancet, Circulation and Journal of the American College of Cardiology.

In The Last Decade

Stephen Harrap

217 papers receiving 8.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Stephen Harrap 3.3k 3.0k 1.5k 1.2k 1.1k 221 8.3k
Héctor F. Escobar‐Morreale 5.2k 1.6× 2.4k 0.8× 2.7k 1.8× 916 0.8× 1.4k 1.3× 257 18.6k
Bülent Okan Yıldız 2.2k 0.7× 1.2k 0.4× 1.2k 0.8× 415 0.3× 1.1k 1.0× 151 12.1k
Dennis K. Yue 3.6k 1.1× 1.1k 0.4× 1.3k 0.9× 752 0.6× 1.3k 1.2× 179 8.2k
John Connell 4.3k 1.3× 2.9k 1.0× 1.9k 1.3× 674 0.6× 1.2k 1.1× 179 8.7k
Fausto Santeusanio 4.7k 1.5× 863 0.3× 1.3k 0.9× 1.4k 1.2× 1.6k 1.5× 176 7.9k
Scot E. Moss 3.5k 1.1× 1.3k 0.4× 1.9k 1.3× 820 0.7× 523 0.5× 173 17.5k
Chul Woo Ahn 3.0k 0.9× 1.6k 0.5× 1.9k 1.3× 622 0.5× 1.5k 1.4× 303 8.5k
Alice P.S. Kong 4.0k 1.2× 1.0k 0.3× 1.7k 1.1× 695 0.6× 1.2k 1.2× 326 9.4k
Masahiro Akishita 2.1k 0.6× 3.3k 1.1× 2.4k 1.6× 793 0.7× 3.0k 2.8× 337 11.6k
J Lévy 5.5k 1.7× 947 0.3× 2.8k 1.9× 2.1k 1.7× 2.3k 2.1× 150 11.4k

Countries citing papers authored by Stephen Harrap

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Harrap

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Harrap

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Harrap. A scholar is included among the top collaborators of Stephen Harrap 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 Stephen Harrap. Stephen Harrap 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
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Woodward, Mark, Stephen Harrap, Pavel Hamet, et al.. (2024). Lipids and apolipoproteins and the risk of vascular disease and mortality outcomes in women and men with type 2 diabetes in the ADVANCE study. Diabetes Obesity and Metabolism. 26(12). 5669–5680. 3 indexed citations
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Ohkuma, Toshiaki, Katie Harris, Mark Woodward, et al.. (2024). Intensive Glucose Lowering and Its Effects on Vascular Events and Death According to Age at Diagnosis and Duration of Diabetes: The ADVANCE Trial. Diabetes Care. 48(2). 279–284. 4 indexed citations
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Wang, Nelson, John Chalmers, Katie Harris, et al.. (2024). Combination blood pressure lowering therapy in patients with type 2 diabetes: messages from the ADVANCE trial. Journal of Hypertension. 42(12). 2055–2064. 1 indexed citations
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Prestes, Priscilla R., Niek de Vries, Mukesh Raipuria, et al.. (2023). Investigation of Telomere Involvement in the Legacy Effect of Angiotensin Converting Enzyme Inhibitors in Spontaneously Hypertensive Rats. Heart Lung and Circulation. 32. S130–S130. 1 indexed citations
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Wang, Nelson, Katie Harris, Mark Woodward, et al.. (2022). Clinical Utility of Short-Term Blood Pressure Measures to Inform Long-Term Blood Pressure Management. Hypertension. 80(3). 608–617. 6 indexed citations
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Tomaszewski, Maciej, Andrew P. Morris, Joanna M. M. Howson, et al.. (2022). Kidney omics in hypertension: from statistical associations to biological mechanisms and clinical applications. Kidney International. 102(3). 492–505. 8 indexed citations
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Tian, Jingyan, Toshiaki Ohkuma, Mark E. Cooper, et al.. (2020). Effects of Intensive Glycemic Control on Clinical Outcomes Among Patients With Type 2 Diabetes With Different Levels of Cardiovascular Risk and Hemoglobin A1c in the ADVANCE Trial. Diabetes Care. 43(6). 1293–1299. 19 indexed citations
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Rådholm, Karin, John Chalmers, Toshiaki Ohkuma, et al.. (2018). Use of the waist‐to‐height ratio to predict cardiovascular risk in patients with diabetes: R esults from the ADVANCE‐ON study. Diabetes Obesity and Metabolism. 20(8). 1903–1910. 32 indexed citations
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Ohkuma, Toshiaki, Mark Woodward, Min Jun, et al.. (2017). Prognostic Value of Variability in Systolic Blood Pressure Related to Vascular Events and Premature Death in Type 2 Diabetes Mellitus. Hypertension. 70(2). 461–468. 58 indexed citations
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Hirakawa, Yoichiro, Hisatomi Arima, Sophia Zoungas, et al.. (2014). Impact of Visit-to-Visit Glycemic Variability on the Risks of Macrovascular and Microvascular Events and All-Cause Mortality in Type 2 Diabetes: The ADVANCE Trial. Diabetes Care. 37(8). 2359–2365. 283 indexed citations
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Ninomiya, Toshiharu, Sophia Zoungas, Bastiaan E. de Galan, et al.. (2009). THE FIXED COMBINATION OF PERINDOPRIL AND INDAPAMIDE HAS A GREATER EFFECT ON CARDIOVASCULAR OUTCOMES IN PATIENTS WITH TYPE 2 DIABETES AND ALBUMINURIA. Journal of Hypertension. 27. 1 indexed citations
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Chalmers, John, Vlado Perkovic, T. Ninomiya, et al.. (2008). Renoprotection with perindopril-indapamide below current recommended blood pressure targets in patients with type 2 diabetes mellitus: Results of the ADVANCE trial. Journal of Hypertension. 26. 1 indexed citations
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Cui, Jisheng, John L. Hopper, & Stephen Harrap. (2003). Antihypertensive Treatments Obscure Familial Contributions to Blood Pressure Variation. Hypertension. 41(2). 207–210. 230 indexed citations
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Hare, David L., Mark A. Febbraio, Stephen Harrap, et al.. (2001). ACE gene polymorphism is not a predictor of chronic heart failure or aerobic fitness. Circulation. 104(17). 553. 4 indexed citations
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Harrap, Stephen. (2000). Cardiovascular Disease: Genes and Public Health. Annals of the Academy of Medicine Singapore. 3(29). 279–279. 1 indexed citations
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Stoll, Monika, Anne E. Kwitek, Allen W. Cowley, et al.. (2000). New Target Regions for Human Hypertension via Comparative Genomics. Genome Research. 10(4). 473–482. 184 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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