J.A. Bennett

453 citations
18 papers · 392 · h-index 9

Impact in

Papers in

J.A. Bennett

17 papers receiving 368 citations

Peers

J.A. Bennett
Comparison fields: 5 of 45
  • Endocrine and Autonomic Systems 63
  • Pulmonary and Respiratory Medicine 160
  • Cardiology and Cardiovascular Medicine 118
  • Neurology 31
  • Cellular and Molecular Neuroscience 54
Replace I. de Burgh Daly with:
I. de Burgh Daly United Kingdom
J. Karlsson Sweden
Laurie A. Waterman United States
Tetsuya Kawabe United States
A.J. Winning United Kingdom
Kiku Nakao Japan
H. M. Snow Ireland
D. G. Van Wylen United States
L Meleagros United Kingdom
Dariusz Jagielski Poland
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Citations per field
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I. de Burgh Daly · 1×
Citations per year

Countries citing papers authored by J.A. Bennett

Since Specialization
Citations

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

Fields of papers citing papers by J.A. Bennett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.A. Bennett. 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 J.A. Bennett. The network helps show where J.A. Bennett may publish in the future.

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 198766
2 200950
3 198148
4 201647
5 201043
6 198534
7 199031
8 200926
9 200916
10 19888
11 19866
12 20096
13 19874
14 20093
15 20141
16 20161
17 20171
18 20221

About J.A. Bennett

J.A. Bennett is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Neurology, having authored 18 papers that have together received 392 indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (5 papers), Pleural and Pulmonary Diseases (3 papers), Neuroscience of respiration and sleep (2 papers), Lung Cancer Diagnosis and Treatment (2 papers), Vagus Nerve Stimulation Research (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Lung Cancer Treatments and Mutations (1 paper) and Global Cancer Incidence and Screening (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (63 citations), Pulmonary and Respiratory Medicine (160 citations), Cardiology and Cardiovascular Medicine (118 citations), Neurology (31 citations) and Cellular and Molecular Neuroscience (54 citations). J.A. Bennett has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Peter N. McWilliam, Andrew R L Medford, Sanjay Agrawal, Catherine M. FREE, C. Kidd, Sara L. Shepheard, Colin S. Goodchild, Tim W. Ford, Ian R. Powley and Alexey V. Antonov. Their work appears in journals such as QJM, Lung Cancer, The Journal of Physiology, Electroencephalography and Clinical Neurophysiology and Journal of Public Health.

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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