John W. Kyle

3.8k citations
61 papers · 3.3k · h-index 33

Impact in

Papers in

John W. Kyle

61 papers receiving 3.2k citations

Peers

John W. Kyle
Comparison fields: 5 of 110
  • Cardiology and Cardiovascular Medicine 910
  • Cellular and Molecular Neuroscience 756
  • Molecular Biology 2.4k
  • Physiology 706
  • Physiology 120
Replace David C. Johns with:
David C. Johns United States
Gregory M. Lipkind United States
Käthi Geering Switzerland
Luis Reuss United States
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John W. Kyle relative to David C. Johns United States David C. Johns's profile →
Citations per field
00.5×1.5×2×2.3×
David C. Johns · 1×
Citations per year

Countries citing papers authored by John W. Kyle

Since Specialization
Citations

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

Fields of papers citing papers by John W. Kyle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992353
2 1988225
3 1994186
4 1987167
5
A murine model of mucopolysaccharidosis VII. Gross and microscopic findings in beta-glucuronidase-deficient mice.
1990138
6 1999136
7 1998111
8 2000103
9 2008102
10 2015102
11 199897
12 200288
13 198785
14 200684
15 199982
16 199065
17 199059
18 199659
19 199655
20 199352

About John W. Kyle

John W. Kyle is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Organic Chemistry and Physiology, having authored 61 papers that have together received 3.3k indexed citations. Recurring topics across this work include Ion channel regulation and function (28 papers), Cardiac electrophysiology and arrhythmias (23 papers), Glycosylation and Glycoproteins Research (14 papers), Carbohydrate Chemistry and Synthesis (9 papers), Neuroscience and Neural Engineering (7 papers), Lysosomal Storage Disorders Research (7 papers), Connexins and lens biology (6 papers) and Nicotinic Acetylcholine Receptors Study (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (910 citations), Cellular and Molecular Neuroscience (756 citations), Molecular Biology (2.4k citations), Physiology (706 citations) and Physiology (120 citations). John W. Kyle has collaborated with scholars based in United States, China and Canada. Frequent co-authors include William S. Sly, Dorothy A. Hanck, Harry A. Fozzard, Jeffrey H. Grubb, Jonathan C. Makielski, Akihiko Oshima, Catherine M. Nolan, Jonathan Satin, R. B. Rogart and Michael F. Sheets. Their work appears in journals such as Biophysical Journal, Journal of Biological Chemistry, Genomics, American Journal of Physiology-Heart and Circulatory Physiology 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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