David Hauton

32 papers receiving 856 citations

Peers

David Hauton
Comparison fields: 5 of 100
  • Endocrine and Autonomic Systems 67
  • Physiology 204
  • Biochemistry 61
  • Endocrinology, Diabetes and Metabolism 124
  • Cardiology and Cardiovascular Medicine 109
Replace Masashi Mukohda with:
Masashi Mukohda Japan
Po‐Shiuan Hsieh Taiwan
Mackenzie Pearson United States
Alison B. Kohan United States
Gautham Yepuri United States
Vesna Otašević Serbia
Esther Guiu‐Jurado Spain
Agathoklis Psyrogiannis Greece
Figen Gürdöl Türkiye
María Calderón‐Domínguez Spain
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Citations per field
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Masashi Mukohda · 1×
Citations per year

Countries citing papers authored by David Hauton

Since Specialization
Citations

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

Fields of papers citing papers by David Hauton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Hauton, 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 David Hauton Line = papers co-authored together David Hauton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005171
2 2011115
3 200578
4 200959
5 202058
6 200348
7 202145
8 200142
9 200731
10 201029
11 201418
12 201916
13 202316
14 202015
15 201215
16 202115
17 202214
18 200012
19 200211
20 200011

About David Hauton

David Hauton is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Physiology, Surgery and Pathology and Forensic Medicine, having authored 33 papers that have together received 871 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (6 papers), Heart Rate Variability and Autonomic Control (4 papers), Cardiovascular Effects of Exercise (3 papers), Cholesterol and Lipid Metabolism (3 papers), Cardiac Ischemia and Reperfusion (3 papers), Adipose Tissue and Metabolism (3 papers), Cardiac Imaging and Diagnostics (2 papers) and Fatty Acid Research and Health (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (67 citations), Physiology (204 citations), Biochemistry (61 citations), Endocrinology, Diabetes and Metabolism (124 citations) and Cardiology and Cardiovascular Medicine (109 citations). David Hauton has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Rhys Evans, David Wiggins, Geoffrey F. Gibbons, Brian L. Knight, Anna-Marie Brown, Dilip D. Patel, Paul M. Stewart, Mark J. Bennett, Jeremy Tomlinson and Stuart Morgan. Their work appears in journals such as The Journal of Physiology, The FASEB Journal, PLoS ONE, Cellular Physiology and Biochemistry and Comparative Biochemistry and Physiology Part A Molecular & Integrative 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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