Daniel Turner

756 total citations
25 papers, 542 citations indexed

About

Daniel Turner is a scholar working on Cardiology and Cardiovascular Medicine, Cell Biology and Molecular Biology. According to data from OpenAlex, Daniel Turner has authored 25 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cardiology and Cardiovascular Medicine, 9 papers in Cell Biology and 8 papers in Molecular Biology. Recurrent topics in Daniel Turner's work include Diabetes Management and Research (7 papers), Cardiovascular and exercise physiology (7 papers) and Ion channel regulation and function (6 papers). Daniel Turner is often cited by papers focused on Diabetes Management and Research (7 papers), Cardiovascular and exercise physiology (7 papers) and Ion channel regulation and function (6 papers). Daniel Turner collaborates with scholars based in United Kingdom, United States and France. Daniel Turner's co-authors include Richard M. Bracken, Daniel J. West, Matthew D. Campbell, Emma Stevenson, Mark Walker, James Shaw, Liam P. Kilduff, Benjamin J Gray, Jernej Ule and Michael Briese and has published in prestigious journals such as Journal of Neuroscience, Blood and Circulation Research.

In The Last Decade

Daniel Turner

24 papers receiving 525 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Turner United Kingdom 12 272 155 130 122 115 25 542
D. Gasparro Ireland 5 117 0.4× 85 0.5× 48 0.4× 159 1.3× 27 0.2× 9 298
Cynthia M. F. Monaco Canada 12 89 0.3× 257 1.7× 45 0.3× 253 2.1× 34 0.3× 17 470
Jan Lynge Denmark 6 346 1.3× 197 1.3× 184 1.4× 94 0.8× 96 0.8× 6 547
D. P. Bracy United States 14 142 0.5× 178 1.1× 126 1.0× 345 2.8× 49 0.4× 24 602
Samantha Bacon United States 9 143 0.5× 225 1.5× 76 0.6× 242 2.0× 41 0.4× 14 550
Naoko Shono Japan 13 70 0.3× 127 0.8× 24 0.2× 164 1.3× 181 1.6× 35 575
José Maria Costa-Júnior Brazil 13 104 0.4× 114 0.7× 115 0.9× 174 1.4× 52 0.5× 20 376
Jazmir M. Hernandez United States 8 93 0.3× 190 1.2× 37 0.3× 192 1.6× 25 0.2× 10 436
Mehrdad Fathi Iran 6 74 0.3× 119 0.8× 139 1.1× 115 0.9× 29 0.3× 22 323
Tora Henriksen Denmark 11 89 0.3× 326 2.1× 117 0.9× 348 2.9× 41 0.4× 16 635

Countries citing papers authored by Daniel Turner

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Turner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Turner

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Turner. A scholar is included among the top collaborators of Daniel Turner 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 Daniel Turner. Daniel Turner 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.
Afolabi, Saheed O., et al.. (2024). Mechanisms of stretch-induced electro-anatomical remodeling and atrial arrhythmogenesis. Journal of Molecular and Cellular Cardiology. 193. 11–24. 8 indexed citations
2.
Turner, Daniel, et al.. (2024). Sphingomyelinase-induced ROS production suppresses cardiac performance. Biophysical Journal. 123(3). 386a–386a.
3.
Turner, Daniel, Willem J. de Lange, Yanlong Zhu, et al.. (2023). Neutral sphingomyelinase regulates mechanotransduction in human engineered cardiac tissues and mouse hearts. The Journal of Physiology. 602(18). 4387–4407. 2 indexed citations
4.
Turner, Daniel, Di Lang, Julia Gorelik, et al.. (2023). Caveolae-associated cAMP/Ca2+-mediated mechano-chemical signal transduction in mouse atrial myocytes. Journal of Molecular and Cellular Cardiology. 184. 75–87. 5 indexed citations
5.
Turner, Daniel, et al.. (2022). Caveolin-3 prevents swelling-induced membrane damage via regulation of ICl,swell activity. Biophysical Journal. 121(9). 1643–1659. 4 indexed citations
6.
Turner, Daniel, Kang Chen, Pietro Mesirca, et al.. (2021). Electrophysiological and Molecular Mechanisms of Sinoatrial Node Mechanosensitivity. Frontiers in Cardiovascular Medicine. 8. 662410–662410. 11 indexed citations
7.
Tyan, Leonid, et al.. (2021). Caveolin-3 is required for regulation of transient outward potassium current by angiotensin II in mouse atrial myocytes. American Journal of Physiology-Heart and Circulatory Physiology. 320(2). H787–H797. 5 indexed citations
8.
Turner, Daniel, et al.. (2020). Abstract 423: Caveolin-3 Enriches and Dynamically Interacts With Swell1. Circulation Research. 127(Suppl_1). 1 indexed citations
9.
Bu, Qian, Anxin Wang, Alex D. Waldman, et al.. (2017). CREB Signaling Is Involved in Rett Syndrome Pathogenesis. Journal of Neuroscience. 37(13). 3671–3685. 42 indexed citations
10.
Gray, Benjamin J, et al.. (2016). Cardiorespiratory fitness testing and cardiovascular disease risk in male steelworkers. Occupational Medicine. 67(1). 38–43. 2 indexed citations
11.
Gray, Benjamin J, Daniel Turner, Daniel J. West, et al.. (2016). Improved end-stage high-intensity performance but similar glycemic responses after waxy barley starch ingestion compared to dextrose in type 1 diabetes.. PubMed. 56(11). 1392–1400. 5 indexed citations
12.
Gray, Benjamin J, et al.. (2016). A non-exercise method to determine cardiorespiratory fitness identifies females predicted to be at ‘high risk’ of type 2 diabetes. Diabetes and Vascular Disease Research. 14(1). 47–54. 3 indexed citations
13.
Campbell, Matthew D., Mark Walker, Richard M. Bracken, et al.. (2015). Insulin therapy and dietary adjustments to normalize glycemia and prevent nocturnal hypoglycemia after evening exercise in type 1 diabetes: a randomized controlled trial. BMJ Open Diabetes Research & Care. 3(1). e000085–e000085. 84 indexed citations
14.
Turner, Daniel, Stephen D. Luzio, Benjamin J Gray, et al.. (2015). Algorithm that delivers an individualized rapid‐acting insulin dose after morning resistance exercise counters post‐exercise hyperglycaemia in people with Type 1 diabetes. Diabetic Medicine. 33(4). 506–510. 31 indexed citations
15.
Turner, Daniel, Benjamin J Gray, Stephen D. Luzio, et al.. (2015). Similar magnitude of post‐exercise hyperglycemia despite manipulating resistance exercise intensity in type 1 diabetes individuals. Scandinavian Journal of Medicine and Science in Sports. 26(4). 404–412. 26 indexed citations
16.
Gray, Benjamin J, Richard M. Bracken, Daniel Turner, et al.. (2014). Prevalence of Undiagnosed Cardiovascular Risk Factors and 10-Year CVD Risk in Male Steel Industry Workers. Journal of Occupational and Environmental Medicine. 56(5). 535–539. 3 indexed citations
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Wang, Zhen, James Tollervey, Michael Briese, Daniel Turner, & Jernej Ule. (2009). CLIP: Construction of cDNA libraries for high-throughput sequencing from RNAs cross-linked to proteins in vivo. Methods. 48(3). 287–293. 73 indexed citations
20.
Holdsworth, C D, Daniel Turner, & Neil McIntyre. (1969). Pathophysiology of post-gastrectomy hypoglycaemia. BMJ. 4(5678). 257–259. 39 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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2026