John W. Kyle

3.8k citations
60 papers · 3.1k · h-index 33

Impact in

Papers in

John W. Kyle

59 papers receiving 3.1k citations

Peers

John W. Kyle
Comparison fields: 5 of 112
  • Cellular and Molecular Neuroscience 753
  • Cardiology and Cardiovascular Medicine 897
  • Molecular Biology 2.3k
  • Physiology 668
  • Physiology 111
Replace David C. Johns with:
David C. Johns United States
Gregory M. Lipkind United States
Han Choe South Korea
Luis Reuss United States
Luz Candenas Spain
Avner Bdolah Israel
Ryu Takeya Japan
Christine Beeton United States
K. George Chandy United States
Laurent Counillon France
John W. Kyle relative to David C. Johns United States David C. Johns's profile →
Citations per field
00.5×1.5×2.2×
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 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992326
2 1988210
3 1994176
4 1987156
5 1999131
6
A murine model of mucopolysaccharidosis VII. Gross and microscopic findings in beta-glucuronidase-deficient mice.
1990127
7 1998111
8 2000103
9 201599
10 200898
11 199888
12 200284
13 200683
14 198778
15 199977
16 199061
17 199654
18 199654
19 200150
20 199350

About John W. Kyle

John W. Kyle is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Physiology and Organic Chemistry, having authored 60 papers that have together received 3.1k indexed citations. Recurring topics across this work include Ion channel regulation and function (30 papers), Cardiac electrophysiology and arrhythmias (23 papers), Glycosylation and Glycoproteins Research (12 papers), Neuroscience and Neural Engineering (7 papers), Connexins and lens biology (7 papers), Lysosomal Storage Disorders Research (7 papers), Carbohydrate Chemistry and Synthesis (7 papers) and Nicotinic Acetylcholine Receptors Study (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (753 citations), Cardiology and Cardiovascular Medicine (897 citations), Molecular Biology (2.3k citations), Physiology (668 citations) and Physiology (111 citations). John W. Kyle has collaborated with scholars based in United States, Canada and China. Frequent co-authors include William S. Sly, Dorothy A. Hanck, Harry A. Fozzard, Jonathan C. Makielski, Catherine M. Nolan, Akihiko Oshima, Jeffrey H. Grubb, Michael F. Sheets, Jonathan Satin and R. B. Rogart. Their work appears in journals such as Journal of Biological Chemistry, Biophysical Journal, Genomics, American Journal of Physiology-Heart and Circulatory Physiology and Journal of Molecular and Cellular Cardiology.

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.

Explore authors with similar magnitude of impact