John C. Shryock

6.6k citations
105 papers · 5.3k · h-index 41

Impact in

Papers in

John C. Shryock

104 papers receiving 5.2k citations

Peers

John C. Shryock
Comparison fields: 5 of 111
  • Physiology 1.3k
  • Cardiology and Cardiovascular Medicine 3.1k
  • Electrochemistry 342
  • Cellular and Molecular Neuroscience 859
  • Molecular Biology 3.0k
Replace Wilhelm Schmitz with:
Wilhelm Schmitz Germany
Hasso Scholz Germany
Derek A. Terrar United Kingdom
Shigetoshi Chiba Japan
C. van Breemen United States
Harold C. Strauss United States
Andrew A. Wolff United States
Jonathan C. Makielski United States
Masayasu Hiraoka Japan
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John C. Shryock relative to Wilhelm Schmitz Germany Wilhelm Schmitz's profile →
Citations per field
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Citations per year

Countries citing papers authored by John C. Shryock

Since Specialization
Citations

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

Fields of papers citing papers by John C. Shryock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997477
2 1995230
3 2006219
4 2004166
5 2004161
6 1998153
7 2012145
8 1998144
9 1999139
10 2008134
11 2008132
12 2014117
13 2003116
14 2008115
15 2013101
16 201499
17 200793
18 201080
19 201179
20 200677

About John C. Shryock

John C. Shryock is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Physiology, Cellular and Molecular Neuroscience and Pathology and Forensic Medicine, having authored 105 papers that have together received 5.3k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (69 papers), Ion channel regulation and function (52 papers), Adenosine and Purinergic Signaling (28 papers), Cardiac Arrhythmias and Treatments (19 papers), Cardiac Ischemia and Reperfusion (12 papers), Electrochemical Analysis and Applications (11 papers), Receptor Mechanisms and Signaling (11 papers) and Neuroscience and Neuropharmacology Research (10 papers). The work is most often cited by research in Physiology (1.3k citations), Cardiology and Cardiovascular Medicine (3.1k citations), Electrochemistry (342 citations), Cellular and Molecular Neuroscience (859 citations) and Molecular Biology (3.0k citations). John C. Shryock has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Luiz Belardinelli, Yejia Song, Sridharan Rajamani, Lin Wu, Charles Antzelevitch, Miduturu Srinivas, Arvinder K. Dhalla, Lin Wu, Mark Ozeck and Daqing Wang. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, American Journal of Physiology-Heart and Circulatory Physiology, Journal of Cardiovascular Pharmacology, Circulation Research and Circulation.

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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