Barry D. Kyle

23 papers receiving 383 citations

Peers

Barry D. Kyle
Comparison fields: 5 of 74
  • Sensory Systems 55
  • Endocrine and Autonomic Systems 39
  • Cellular and Molecular Neuroscience 99
  • Urology 31
  • Cardiology and Cardiovascular Medicine 109
Replace Vladimir Ganitkevich with:
Vladimir Ganitkevich Germany
Hikaru Suzuki Japan
Roddy J. Large Ireland
Pascal Weinmeister Germany
Richard P. Burt United Kingdom
Srikanth R. Ella United States
Victoria P. Korovkina United States
Nagisa Matsumoto Japan
Misbah Malik‐Hall United Kingdom
Paz Recio Spain
Barry D. Kyle relative to Vladimir Ganitkevich Germany Vladimir Ganitkevich's profile →
Citations per field
00.5×8.6×
Vladimir Ganitkevich · 1×
Citations per year

Countries citing papers authored by Barry D. Kyle

Since Specialization
Citations

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

Fields of papers citing papers by Barry D. Kyle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Barry D. Kyle. 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 Barry D. Kyle. The network helps show where Barry D. Kyle may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201468
2 201460
3 202144
4 201334
5 200733
6 202022
7 201317
8 201416
9 201115
10 201713
11 201112
12 201312
13 20208
14 20147
15 20195
16 20204
17 20214
18 20214
19
A SHORT HISTORY OF OCCUPATIONAL DISEASE: 1. LABORATORY-ACQUIRED INFECTIONS.
20213
20 20202

About Barry D. Kyle

Barry D. Kyle is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Hematology and Endocrinology, Diabetes and Metabolism, having authored 24 papers that have together received 386 indexed citations. Recurring topics across this work include Ion channel regulation and function (10 papers), Cardiac electrophysiology and arrhythmias (8 papers), Neuroscience and Neuropharmacology Research (6 papers), Diabetes Management and Research (3 papers), Pancreatic function and diabetes (2 papers), Urinary Bladder and Prostate Research (2 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (2 papers) and Neuroscience of respiration and sleep (2 papers). The work is most often cited by research in Sensory Systems (55 citations), Endocrine and Autonomic Systems (39 citations), Cellular and Molecular Neuroscience (99 citations), Urology (31 citations) and Cardiology and Cardiovascular Medicine (109 citations). Barry D. Kyle has collaborated with scholars based in Canada, United States and Ireland. Frequent co-authors include Andrew P. Braun, María Sancho, Janice E.A. Braun, Jian‐Zhong Sheng, Eamonn Bradley, K. D. Thornbury, Joseph R. Hume, Mark A. Hollywood, William J. Hatton and Lih Chyuan Ng. Their work appears in journals such as American Journal of Physiology-Cell Physiology, Frontiers in Physiology, Clinical Biochemistry, Scientific Reports and Channels.

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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