David J. Webb

23.3k total citations · 5 hit papers
265 papers, 15.8k citations indexed

About

David J. Webb is a scholar working on Cardiology and Cardiovascular Medicine, Physiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, David J. Webb has authored 265 papers receiving a total of 15.8k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Cardiology and Cardiovascular Medicine, 52 papers in Physiology and 38 papers in Pulmonary and Respiratory Medicine. Recurrent topics in David J. Webb's work include Blood Pressure and Hypertension Studies (60 papers), Nitric Oxide and Endothelin Effects (40 papers) and Cardiovascular Health and Disease Prevention (34 papers). David J. Webb is often cited by papers focused on Blood Pressure and Hypertension Studies (60 papers), Nitric Oxide and Endothelin Effects (40 papers) and Cardiovascular Health and Disease Prevention (34 papers). David J. Webb collaborates with scholars based in United Kingdom, United States and Netherlands. David J. Webb's co-authors include Ian B. Wilkinson, John R. Cockcroft, James Oliver, David E. Newby, Neeraj Dhaun, Simon Maxwell, Helen MacCallum, Laura Flint, Kenneth Boyd and Robert V. Carlson and has published in prestigious journals such as The Lancet, Circulation and Journal of Clinical Investigation.

In The Last Decade

David J. Webb

261 papers receiving 15.2k citations

Hit Papers

The influence of heart rate on augmentation index and cen... 1998 2026 2007 2016 2000 1998 2003 2005 2016 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David J. Webb United Kingdom 61 7.4k 2.9k 2.1k 2.0k 2.0k 265 15.8k
Jacqueline C.M. Witteman Netherlands 69 5.4k 0.7× 2.0k 0.7× 2.3k 1.1× 2.1k 1.1× 2.2k 1.1× 170 16.2k
James H. Stein United States 61 7.6k 1.0× 2.1k 0.7× 3.0k 1.5× 2.8k 1.4× 4.1k 2.1× 345 18.2k
Athanase Bénétos France 73 16.0k 2.2× 3.7k 1.3× 3.3k 1.6× 3.0k 1.5× 2.9k 1.5× 335 23.1k
Leopoldo Raij United States 60 5.8k 0.8× 3.7k 1.3× 1.7k 0.8× 2.4k 1.2× 1.7k 0.9× 202 14.6k
Johan Sundström Sweden 72 6.9k 0.9× 2.8k 1.0× 1.2k 0.6× 3.1k 1.6× 2.6k 1.3× 363 17.0k
William H. Frishman United States 70 10.1k 1.4× 1.8k 0.6× 1.7k 0.8× 2.2k 1.1× 4.3k 2.2× 921 20.6k
Wendy S. Post United States 68 9.6k 1.3× 1.4k 0.5× 2.5k 1.2× 2.7k 1.4× 3.4k 1.7× 436 20.1k
Allan D. Struthers United Kingdom 75 11.0k 1.5× 2.3k 0.8× 2.9k 1.4× 3.9k 2.0× 3.0k 1.5× 521 19.3k
Álvaro Alonso United States 82 11.1k 1.5× 2.6k 0.9× 2.1k 1.0× 1.3k 0.6× 1.8k 0.9× 587 23.1k
Susan R. Heckbert United States 75 10.0k 1.4× 1.5k 0.5× 1.7k 0.8× 3.8k 1.9× 2.5k 1.2× 479 21.7k

Countries citing papers authored by David J. Webb

Since Specialization
Citations

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

Fields of papers citing papers by David J. Webb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Webb. 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 David J. Webb. The network helps show where David J. Webb may publish in the future.

Co-authorship network of co-authors of David J. Webb

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Webb. A scholar is included among the top collaborators of David J. Webb 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 David J. Webb. David J. Webb 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
1.
Ranasinghe, Priyanga, et al.. (2025). Knowledge, attitudes, and practices related to hypertension among Sri Lankans: an online cross-sectional survey. BMC Public Health. 25(1). 2376–2376.
2.
MacIntyre, I., Sian Sloan‐Dennison, Benjamin Clark, et al.. (2024). Cytokeratin-18 is a sensitive biomarker of alanine transaminase increase in a placebo-controlled, randomized, crossover trial of therapeutic paracetamol dosing (PATH-BP biomarker substudy). Toxicological Sciences. 199(2). 203–209. 1 indexed citations
3.
Farrah, Tariq E., Dan Pugh, Fiona A. Chapman, et al.. (2023). Choroidal and retinal thinning in chronic kidney disease independently associate with eGFR decline and are modifiable with treatment. Nature Communications. 14(1). 7720–7720. 16 indexed citations
4.
Addison, Melisande, Priyanga Ranasinghe, & David J. Webb. (2023). Emerging insights and future prospects for therapeutic application of siRNA targeting angiotensinogen in hypertension. Expert Review of Clinical Pharmacology. 16(11). 1025–1033. 7 indexed citations
5.
Addison, Melisande, Priyanga Ranasinghe, & David J. Webb. (2023). Novel Pharmacological Approaches in the Treatment of Hypertension: A Focus on RNA-Based Therapeutics. Hypertension. 80(11). 2243–2254. 18 indexed citations
6.
MacIntyre, I., Emma Turtle, Tariq E. Farrah, et al.. (2022). Regular Acetaminophen Use and Blood Pressure in People With Hypertension: The PATH-BP Trial. Circulation. 145(6). 416–423. 30 indexed citations
7.
Ranasinghe, Priyanga, Melisande Addison, James W. Dear, & David J. Webb. (2022). Small interfering RNA: Discovery, pharmacology and clinical development—An introductory review. British Journal of Pharmacology. 180(21). 2697–2720. 81 indexed citations
9.
Gordon-Keylock, Sabrina, Stanislav Rybtsov, Anahí Binagui-Casas, et al.. (2020). Multi-layered Spatial Transcriptomics Identify Secretory Factors Promoting Human Hematopoietic Stem Cell Development. Cell stem cell. 27(5). 822–839.e8. 55 indexed citations
11.
Ivy, Jessica R., Wilna Oosthuyzen, Robert W. Hunter, et al.. (2016). Leptin Induces Hypertension and Endothelial Dysfunction via Aldosterone-Dependent Mechanisms in Obese Female Mice. Queen Margaret University Publications Repository (Queen Margaret University). 28 indexed citations
12.
Betz, Boris, Sara Jenks, Andrew D. Cronshaw, et al.. (2016). Urinary peptidomics in a rodent model of diabetic nephropathy highlights epidermal growth factor as a biomarker for renal deterioration in patients with type 2 diabetes. Kidney International. 89(5). 1125–1135. 62 indexed citations
14.
Webb, David J.. (2011). THE ROLE OF THE CLINICAL PHARMACOLOGIST IN HEALTH TECHNOLOGY APPRAISAL (HTA). Basic & Clinical Pharmacology & Toxicology. 109. 48–48. 1 indexed citations
15.
Dhaun, Neeraj, I. MacIntyre, Vanessa Melville, et al.. (2009). Blood Pressure–Independent Reduction in Proteinuria and Arterial Stiffness After Acute Endothelin-A Receptor Antagonism in Chronic Kidney Disease. Hypertension. 54(1). 113–119. 101 indexed citations
16.
Webb, David J. & Andrew Walker. (2007). Value-based pricing of drugs in the UK. The Lancet. 369(9571). 1415–1416. 20 indexed citations
17.
Carlson, Robert V., et al.. (2007). The three official language versions of the Declaration of Helsinki: what’s lost in translation?. Journal of Medical Ethics. 33(9). 545–548. 4 indexed citations
18.
Vérier‐Mine, O., et al.. (2005). Is pregnancy a risk factor for microvascular complications?. UCL Discovery (University College London). 1 indexed citations
19.
Helmy, Ahmed, Rajiv Jalan, David E. Newby, Peter Hayes, & David J. Webb. (2000). Role of angiotensin II in regulation of basal and sympathetically stimulated vascular tone in early and advanced cirrhosis. Gastroenterology. 118(3). 565–572. 83 indexed citations
20.
Hodsman, G P, et al.. (1983). Factors related to first dose hypotensive effect of captopril: prediction and treatment.. BMJ. 286(6368). 832–834. 111 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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