E. Danson

779 citations
29 papers · 624 · h-index 13

Impact in

Papers in

    • Heart Rate Variability and Autonomic Control 16
    • Cardiac electrophysiology and arrhythmias 5
    • Cardiac Valve Diseases and Treatments 5
    • Acute Myocardial Infarction Research 3
    • Coronary Interventions and Diagnostics 5

E. Danson

27 papers receiving 609 citations

Peers

E. Danson
Comparison fields: 5 of 81
  • Cardiology and Cardiovascular Medicine 453
  • Endocrine and Autonomic Systems 70
  • Physiology 196
  • Complementary and alternative medicine 60
  • Neurology 53
Replace Paige S. Katz with:
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Citations per field
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Citations per year

Countries citing papers authored by E. Danson

Since Specialization
Citations

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

Fields of papers citing papers by E. Danson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside E. Danson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with E. Danson Line = papers co-authored together E. Danson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200178
2 200770
3 200266
4 200561
5 200358
6 200254
7 200643
8 201639
9 200929
10 200424
11 201120
12 200520
13 200415
14 201212
15 200510
16 20159
17 20184
18
Vagal modulation of heart rate in the neuronal nitric oxide synthase knock-out mouse in vitro
20002
19 20182
20
Enhanced neuronal nitric oxide synthase is central to cardiac vagal phenotype following exercise-training in mice
20021

About E. Danson

E. Danson is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Physiology, Complementary and alternative medicine and Pulmonary and Respiratory Medicine, having authored 29 papers that have together received 624 indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (16 papers), Nitric Oxide and Endothelin Effects (7 papers), Cardiovascular and exercise physiology (6 papers), Coronary Interventions and Diagnostics (5 papers), Cardiac electrophysiology and arrhythmias (5 papers), Cardiac Valve Diseases and Treatments (5 papers), Infective Endocarditis Diagnosis and Management (3 papers) and Acute Myocardial Infarction Research (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (453 citations), Endocrine and Autonomic Systems (70 citations), Physiology (196 citations), Complementary and alternative medicine (60 citations) and Neurology (53 citations). E. Danson has collaborated with scholars based in United Kingdom, Australia and Finland. Frequent co-authors include David J. Paterson, Julia Choate, Neil Herring, J Morris, Keith M. Channon, Shijie Cai, Ravi Mohan, Tom Dawson, Sudha Krishnan and Ravinay Bhindi. Their work appears in journals such as Circulation, Cardiovascular Intervention and Therapeutics, Journal of Molecular and Cellular Cardiology, Cardiovascular Research and The Journal of Physiology.

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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