Jane E. Dixon

2.8k total citations
19 papers, 2.3k citations indexed

About

Jane E. Dixon is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jane E. Dixon has authored 19 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 15 papers in Cardiology and Cardiovascular Medicine and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jane E. Dixon's work include Ion channel regulation and function (15 papers), Cardiac electrophysiology and arrhythmias (15 papers) and Neuroscience and Neuropharmacology Research (3 papers). Jane E. Dixon is often cited by papers focused on Ion channel regulation and function (15 papers), Cardiac electrophysiology and arrhythmias (15 papers) and Neuroscience and Neuropharmacology Research (3 papers). Jane E. Dixon collaborates with scholars based in United States, United Kingdom and Canada. Jane E. Dixon's co-authors include David McKinnon, Ira S. Cohen, Randy S. Wymore, Wenmei Shi, Zongming Pan, Hongsheng Wang, Han‐Gang Yu, Hongsheng Wang, Chris Kintner and Christine McDonald and has published in prestigious journals such as New England Journal of Medicine, Circulation and Journal of Neuroscience.

In The Last Decade

Jane E. Dixon

19 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jane E. Dixon United States 17 2.0k 1.8k 924 85 64 19 2.3k
Cécile Terrenoire United States 18 1.4k 0.7× 963 0.5× 618 0.7× 109 1.3× 37 0.6× 23 1.8k
Christoph Lorra Germany 11 1.2k 0.6× 650 0.4× 745 0.8× 58 0.7× 104 1.6× 12 1.4k
Randy S. Wymore United States 15 1.7k 0.8× 1.4k 0.8× 666 0.7× 97 1.1× 75 1.2× 16 2.0k
Kimberly Folander United States 14 1.1k 0.6× 758 0.4× 577 0.6× 78 0.9× 27 0.4× 14 1.3k
Karen S. De Jongh United States 12 1.4k 0.7× 568 0.3× 948 1.0× 50 0.6× 128 2.0× 15 1.6k
Taihao Jin United States 13 1.6k 0.8× 646 0.4× 815 0.9× 207 2.4× 156 2.4× 16 1.8k
Alan Neely Chile 27 2.0k 1.0× 952 0.5× 1.4k 1.5× 70 0.8× 197 3.1× 55 2.3k
A Ferroni Italy 17 1.1k 0.5× 581 0.3× 734 0.8× 42 0.5× 49 0.8× 49 1.4k
Wenmei Shi United States 7 1.0k 0.5× 874 0.5× 520 0.6× 57 0.7× 18 0.3× 8 1.2k
Lijun Tian United Kingdom 20 1.2k 0.6× 348 0.2× 519 0.6× 86 1.0× 149 2.3× 35 1.4k

Countries citing papers authored by Jane E. Dixon

Since Specialization
Citations

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

Fields of papers citing papers by Jane E. Dixon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jane E. Dixon. 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 Jane E. Dixon. The network helps show where Jane E. Dixon may publish in the future.

Co-authorship network of co-authors of Jane E. Dixon

This figure shows the co-authorship network connecting the top 25 collaborators of Jane E. Dixon. A scholar is included among the top collaborators of Jane E. Dixon 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 Jane E. Dixon. Jane E. Dixon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Rosati, Barbara, Zongming Pan, Hongsheng Wang, et al.. (2001). Regulation of KChIP2 potassium channel β subunit gene expression underlies the gradient of transient outward current in canine and human ventricle. The Journal of Physiology. 533(1). 119–125. 227 indexed citations
2.
Dixon, Jane E. & Michelle A. King. (2001). Chronic Thromboembolic Pulmonary Hypertension. New England Journal of Medicine. 344(9). 644–644. 3 indexed citations
3.
Pan, Zongming, et al.. (2001). Alternative splicing of KCNQ2 potassium channel transcripts contributes to the functional diversity of M‐currents. The Journal of Physiology. 531(2). 347–358. 38 indexed citations
4.
Gao, Jingxia, Yanbin Wang, David McKinnon, et al.. (1999). Isoform‐specific regulation of the sodium pump by α‐ and β‐adrenergic agonists in the guinea‐pig ventricle. The Journal of Physiology. 516(2). 377–383. 40 indexed citations
5.
Yu, Han‐Gang, David McKinnon, Jane E. Dixon, et al.. (1999). Transient Outward Current, I to1 , Is Altered in Cardiac Memory. Circulation. 99(14). 1898–1905. 94 indexed citations
6.
Shi, Wenmei, Randy S. Wymore, Han‐Gang Yu, et al.. (1999). Distribution and Prevalence of Hyperpolarization-Activated Cation Channel (HCN) mRNA Expression in Cardiac Tissues. Circulation Research. 85(1). e1–6. 307 indexed citations
7.
Shi, Wenmei, Hongsheng Wang, Zongming Pan, et al.. (1998). Cloning of a mammalian elk potassium channel gene and EAG mRNA distribution in rat sympathetic ganglia. The Journal of Physiology. 511(3). 675–682. 41 indexed citations
8.
Wang, Hongsheng, Jane E. Dixon, & David McKinnon. (1997). Unexpected and Differential Effects of ClChannel Blockers on the Kv4.3 and Kv4.2 K+Channels. Circulation Research. 81(5). 711–718. 49 indexed citations
9.
Shi, Wenmei, Randy S. Wymore, Hongsheng Wang, et al.. (1997). Identification of Two Nervous System-Specific Members of theergPotassium Channel Gene Family. Journal of Neuroscience. 17(24). 9423–9432. 173 indexed citations
10.
Shimoni, Y., Céline Fiset, Robert B. Clark, et al.. (1997). Thyroid hormone regulates postnatal expression of transient K+ channel isoforms in rat ventricle.. The Journal of Physiology. 500(1). 65–73. 80 indexed citations
11.
Wymore, Randy S., et al.. (1997). Tissue and Species Distribution of mRNA for the ikr-like K+Channel, ERG. Circulation Research. 80(2). 261–268. 149 indexed citations
12.
Shi, Wenmei, Randy S. Wymore, Hongsheng Wang, et al.. (1997). Identification of two nervous system-specific members of the erg potassium channel gene family.. PubMed. 17(24). 9423–32. 188 indexed citations
13.
Dixon, Jane E. & David McKinnon. (1996). Potassium Channel mRNA Expression in Prevertebral and Paravertebral Sympathetic Neurons. European Journal of Neuroscience. 8(1). 183–191. 33 indexed citations
14.
Xu, Huanhuan, Jane E. Dixon, Dianne M. Barry, et al.. (1996). Developmental analysis reveals mismatches in the expression of K+ channel alpha subunits and voltage-gated K+ channel currents in rat ventricular myocytes.. The Journal of General Physiology. 108(5). 405–419. 108 indexed citations
15.
Dixon, Jane E., Wenmei Shi, Hongsheng Wang, et al.. (1996). Role of the Kv4.3 K+Channel in Ventricular Muscle. Circulation Research. 79(4). 659–668. 368 indexed citations
16.
Dixon, Jane E. & David McKinnon. (1994). Expression of the trk gene family of neurotrophin receptors in prevertebral sympathetic ganglia. Developmental Brain Research. 77(2). 177–182. 55 indexed citations
17.
Dixon, Jane E. & David McKinnon. (1994). Quantitative analysis of potassium channel mRNA expression in atrial and ventricular muscle of rats.. Circulation Research. 75(2). 252–260. 245 indexed citations
18.
Cobbold, P H, Michael J. Daly, Jane E. Dixon, & N M Woods. (1989). Repetitive calcium transients in hormone-stimulated cells. Biochemical Society Transactions. 17(1). 9–10. 10 indexed citations
19.
Dixon, Jane E. & Chris Kintner. (1989). Cellular contacts required for neural induction in Xenopus embryos: evidence for two signals. Development. 106(4). 749–757. 112 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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