Neil Herring

4.1k total citations
91 papers, 2.7k citations indexed

About

Neil Herring is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Neil Herring has authored 91 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Cardiology and Cardiovascular Medicine, 16 papers in Surgery and 16 papers in Molecular Biology. Recurrent topics in Neil Herring's work include Heart Rate Variability and Autonomic Control (29 papers), Cardiac electrophysiology and arrhythmias (26 papers) and Cardiac Arrhythmias and Treatments (16 papers). Neil Herring is often cited by papers focused on Heart Rate Variability and Autonomic Control (29 papers), Cardiac electrophysiology and arrhythmias (26 papers) and Cardiac Arrhythmias and Treatments (16 papers). Neil Herring collaborates with scholars based in United Kingdom, United States and Sweden. Neil Herring's co-authors include David J. Paterson, Manish Kalla, Julia Shanks, Dan Li, E. Danson, Timothy R. Betts, James Gamble, Keith M. Channon, Adam J. Lewandowski and Paul Leeson and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Neil Herring

84 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Neil Herring United Kingdom 34 1.7k 564 428 395 255 91 2.7k
Young Jun Oh South Korea 29 577 0.3× 712 1.3× 502 1.2× 788 2.0× 516 2.0× 117 3.2k
Youhua Zhang United States 28 1.3k 0.7× 483 0.9× 80 0.2× 297 0.8× 318 1.2× 90 2.6k
Colin N. Young United States 29 1.2k 0.7× 332 0.6× 103 0.2× 309 0.8× 486 1.9× 70 2.4k
Sumio Hoka Japan 26 585 0.3× 362 0.6× 361 0.8× 742 1.9× 512 2.0× 187 2.4k
Mónica Millán Spain 35 678 0.4× 619 1.1× 325 0.8× 303 0.8× 243 1.0× 93 3.9k
Grazia Daniela Femminella Italy 29 659 0.4× 748 1.3× 202 0.5× 152 0.4× 620 2.4× 75 2.2k
Rubens Fazan Brazil 27 1.3k 0.7× 297 0.5× 90 0.2× 185 0.5× 355 1.4× 109 1.9k
Robert M.K.W. Lee Canada 29 1.3k 0.7× 468 0.8× 171 0.4× 783 2.0× 852 3.3× 60 2.6k
Yasuhide Nakashima Japan 29 1.4k 0.8× 749 1.3× 163 0.4× 825 2.1× 725 2.8× 174 3.1k
Dario Leosco Italy 41 2.4k 1.4× 1.2k 2.1× 228 0.5× 728 1.8× 644 2.5× 160 4.1k

Countries citing papers authored by Neil Herring

Since Specialization
Citations

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

Fields of papers citing papers by Neil Herring

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neil Herring

This figure shows the co-authorship network connecting the top 25 collaborators of Neil Herring. A scholar is included among the top collaborators of Neil Herring 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 Neil Herring. Neil Herring 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
2.
Paton, Julian F.R., Tymoteusz Żera, Rajanikanth Vadigepalli, Neil Herring, & David J. Paterson. (2025). Multimodal, device-based therapeutic targeting of the cardiovascular autonomic nervous system. Nature Reviews Cardiology. 23(4). 255–278.
3.
Hoang, Jonathan D., et al.. (2025). Sympathovagal crosstalk: Y2-receptor blockade enhances vagal effects which in turn reduce NPY levels via muscarinic receptor activation. Cardiovascular Research. 121(14). 2189–2203. 1 indexed citations
5.
Habecker, Beth A., Donald M. Bers, Susan J. Birren, et al.. (2024). Molecular and cellular neurocardiology in heart disease. The Journal of Physiology. 603(7). 1689–1728. 13 indexed citations
6.
Bray, Jonathan James Hyett, John A. Henry, Liam S. Couch, et al.. (2024). The Effect of Sodium-Glucose Co-Transporter 2 Inhibitors on Outcomes After Cardiac Resynchronization Therapy. ESC Heart Failure. 11(4). 2314–2322. 3 indexed citations
7.
Charles, Philip D., Barry Boland, G. Berridge, et al.. (2024). Compartmentalization proteomics revealed endolysosomal protein network changes in a goat model of atrial fibrillation. iScience. 27(6). 109609–109609. 3 indexed citations
8.
Adamson, Carly, Colette E. Jackson, Ross T. Campbell, et al.. (2023). Neuropeptide Y is Elevated in Heart Failure and is an Independent Predictor of Outcomes. European Journal of Heart Failure. 26(1). 107–116. 16 indexed citations
9.
Holdsworth, David, et al.. (2023). Cardiac resynchronization using fusion pacing during exercise. Journal of Cardiovascular Electrophysiology. 35(1). 146–154. 2 indexed citations
10.
Arvidsson, Per M., W. D. Watson, Mayooran Shanmuganathan, et al.. (2023). Non-invasive left ventricular pressure-volume loops from cardiovascular magnetic resonance imaging and brachial blood pressure: validation using pressure catheter measurements. PubMed. 1(2). qyad035–qyad035. 14 indexed citations
11.
Davis, Harvey, David J. Paterson, & Neil Herring. (2022). Post-Ganglionic Sympathetic Neurons can Directly Sense Raised Extracellular Na+ via SCN7a/Nax. Frontiers in Physiology. 13. 931094–931094. 3 indexed citations
12.
Davis, Harvey, Neil Herring, & David J. Paterson. (2020). Downregulation of M Current Is Coupled to Membrane Excitability in Sympathetic Neurons Before the Onset of Hypertension. Hypertension. 76(6). 1915–1923. 20 indexed citations
13.
Herring, Neil, Manish Kalla, & David J. Paterson. (2019). Publisher Correction: The autonomic nervous system and cardiac arrhythmias: current concepts and emerging therapies. Nature Reviews Cardiology. 16(12). 760–760. 12 indexed citations
14.
Buttgereit, Jens, Julia Shanks, Dan Li, et al.. (2016). C-type natriuretic peptide and natriuretic peptide receptor B signalling inhibits cardiac sympathetic neurotransmission and autonomic function. Cardiovascular Research. 112(3). 637–644. 31 indexed citations
15.
Capel, Rebecca A., Neil Herring, Manish Kalla, et al.. (2015). Hydroxychloroquine reduces heart rate by modulating the hyperpolarization-activated current If: Novel electrophysiological insights and therapeutic potential. Heart Rhythm. 12(10). 2186–2194. 102 indexed citations
16.
Fan, Lampson, Bernard Prendergast, & Neil Herring. (2014). Current Controversies in Infective Endocarditis. 105–113. 2 indexed citations
17.
18.
Adlam, David, Neil Herring, Joseph de Bono, et al.. (2012). Regulation of β-adrenergic control of heart rate by GTP-cyclohydrolase 1 (GCH1) and tetrahydrobiopterin. Cardiovascular Research. 93(4). 694–701. 12 indexed citations
19.
Herring, Neil. (2001). NO-cGMP pathway increases the hyperpolarisation-activated current, If, and heart rate during adrenergic stimulation. Cardiovascular Research. 52(3). 446–453. 26 indexed citations
20.
Petersen, Lyle R., et al.. (1990). Methods of surveillance for HIV infection in primary care outpatients in the United States.. PubMed. 105(2). 158–62. 5 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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