Jonathan Higham

1.4k total citations
43 papers, 793 citations indexed

About

Jonathan Higham is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Electrical and Electronic Engineering. According to data from OpenAlex, Jonathan Higham has authored 43 papers receiving a total of 793 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Cardiology and Cardiovascular Medicine and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Jonathan Higham's work include Cardiac electrophysiology and arrhythmias (7 papers), Protein Structure and Dynamics (6 papers) and Oral Health Pathology and Treatment (6 papers). Jonathan Higham is often cited by papers focused on Cardiac electrophysiology and arrhythmias (7 papers), Protein Structure and Dynamics (6 papers) and Oral Health Pathology and Treatment (6 papers). Jonathan Higham collaborates with scholars based in United Kingdom, United States and Australia. Jonathan Higham's co-authors include Richard H. Henchman, Henggui Zhang, Azeem Majeed, Jin Yong Kang, A. Tinto, Duncan Sproul, P.K. Watson, Frank A. Scannapieco, Hafiz Saqib Ali and Jules C. Hancox and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Jonathan Higham

40 papers receiving 760 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Higham United Kingdom 16 196 178 153 118 96 43 793
Kazuya Kinoshita Japan 18 165 0.8× 247 1.4× 176 1.2× 61 0.5× 208 2.2× 54 1.0k
M. Fitzmaurice United States 11 211 1.1× 233 1.3× 24 0.2× 52 0.4× 32 0.3× 19 1.7k
Sachiko Nakajima Japan 15 188 1.0× 232 1.3× 42 0.3× 142 1.2× 15 0.2× 44 1.0k
Xiaohui Du China 24 280 1.4× 694 3.9× 203 1.3× 167 1.4× 48 0.5× 111 2.1k
Makoto Nakano Japan 16 208 1.1× 88 0.5× 167 1.1× 15 0.1× 22 0.2× 78 692
R. Büttner Germany 16 113 0.6× 192 1.1× 15 0.1× 97 0.8× 225 2.3× 51 1.0k
David J. Bartlett United States 11 101 0.5× 255 1.4× 19 0.1× 68 0.6× 99 1.0× 28 1.2k
K. T. Moesta Germany 23 371 1.9× 99 0.6× 18 0.1× 53 0.4× 48 0.5× 57 2.1k
A. Nigro Italy 22 146 0.7× 213 1.2× 7 0.0× 115 1.0× 120 1.3× 109 1.7k

Countries citing papers authored by Jonathan Higham

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Higham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Higham

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Higham. A scholar is included among the top collaborators of Jonathan Higham 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 Jonathan Higham. Jonathan Higham 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.
Turner, Jason D., Lorna C Gilligan, Valentina Pucino, et al.. (2025). Hormonal risk factors and androgen and glucocorticoid dysregulation in Sjogren’s disease and non-Sjogren’s sicca. Lara D. Veeken. 65(1).
2.
Kollert, Florian, Valentina Pucino, Saba Nayar, et al.. (2022). History of tonsillectomy is associated with glandular inflammation in Sjögren’s disease. Lara D. Veeken. 61(7). e168–e170. 2 indexed citations
3.
Pucino, Valentina, Jason D. Turner, Saba Nayar, et al.. (2022). Sjögren’s and non-Sjögren’s sicca share a similar symptom burden but with a distinct symptom-associated proteomic signature. RMD Open. 8(1). e002119–e002119. 6 indexed citations
4.
Higham, Jonathan, Qian Zhang, Rosie M. Walker, et al.. (2022). Local CpG density affects the trajectory and variance of age-associated DNA methylation changes. Genome biology. 23(1). 216–216. 19 indexed citations
5.
Higham, Jonathan, Hazel Davidson‐Smith, Richard Clark, et al.. (2021). De novo DNA methyltransferase activity in colorectal cancer is directed towards H3K36me3 marked CpG islands. Nature Communications. 12(1). 694–694. 31 indexed citations
6.
Rushton, Michael D., Jonathan Higham, Saúl Álvarez–Teijeiro, et al.. (2020). Transition to naïve human pluripotency mirrors pan-cancer DNA hypermethylation. Nature Communications. 11(1). 3671–3671. 13 indexed citations
7.
8.
Chakravorty, Arghya, Jonathan Higham, Emil Alexov, & Richard H. Henchman. (2019). New Method to Determine the Effect of Dimerization on Protein Flexibility from Molecular Dynamics Simulation using Structural Hierarchy. Biophysical Journal. 116(3). 561a–562a. 1 indexed citations
9.
Zhang, Qian, Riccardo E. Marioni, Matthew R. Robinson, et al.. (2018). Genotype effects contribute to variation in longitudinal methylome patterns in older people. Genome Medicine. 10(1). 75–75. 19 indexed citations
10.
Albuquerque, Rui, Zahid Khan, Andrés Poveda, et al.. (2015). Management of oral Graft versus Host Disease with topical agents: A systematic review. Medicina oral, patología oral y cirugía bucal. 21(1). e72–e81. 10 indexed citations
11.
Alday, Erick Andres Perez, Michael A. Colman, Jonathan Higham, et al.. (2013). Diagnosis of atrial ectopic origin from the body surface ECG: Insights from 3D virtual human atria and torso. Computing in Cardiology Conference. 1075–1078. 3 indexed citations
12.
Zhang, Henggui, Ismail Adeniran, Jonathan Higham, et al.. (2012). Modeling the Chronotropic Effect of Isoprenaline on Rabbit Sinoatrial Node. Frontiers in Physiology. 3. 241–241. 18 indexed citations
13.
Higham, Jonathan, Oleg Aslanidi, & Henggui Zhang. (2011). Large speed increase using novel GPU based algorithms to simulate cardiac excitation waves in 3D rabbit ventricles. Lancaster EPrints (Lancaster University). 38. 9–12. 4 indexed citations
14.
Zi, Min, Tomomi Kimura, Wei Liu, et al.. (2011). Mitogen-activated Protein Kinase Kinase 4 Deficiency in Cardiomyocytes Causes Connexin 43 Reduction and Couples Hypertrophic Signals to Ventricular Arrhythmogenesis. Journal of Biological Chemistry. 286(20). 17821–17830. 11 indexed citations
15.
Kharche, Sanjay, Jonathan Higham, Ming Lei, & Huiyuan Zhang. (2010). Functional roles of ionic currents in a membrane delimited mouse sino-atrial node model. Lancaster EPrints (Lancaster University). 37. 421–424. 1 indexed citations
16.
Kharche, Sanjay, et al.. (2010). Anti-arrhythmic effects of atrial specific I Kur block: A simulation study. Lancaster EPrints (Lancaster University). 429–432. 1 indexed citations
17.
Murray, Louise, Jonathan Higham, S K Suvarna, et al.. (2010). Oral presentation of malignant mesothelioma. Oral Surgery Oral Medicine Oral Pathology Oral Radiology and Endodontology. 111(1). e21–e26. 11 indexed citations
18.
Kang, Jin Yong, A. Tinto, Jonathan Higham, & Azeem Majeed. (2002). Peptic ulceration in general practice in England and Wales 1994–98: period prevalence and drug management. Alimentary Pharmacology & Therapeutics. 16(6). 1067–1074. 36 indexed citations
19.
20.
Watson, P.K. & Jonathan Higham. (1953). Electric breakdown of transformer oil. 100(3). 168–174. 13 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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