Ken McCormack

2.1k citations
30 papers · 1.8k · h-index 18

Impact in

Papers in

Ken McCormack

29 papers receiving 1.7k citations

Peers

Ken McCormack
Comparison fields: 5 of 98
  • Cellular and Molecular Neuroscience 924
  • Cardiology and Cardiovascular Medicine 727
  • Molecular Biology 1.5k
  • Sensory Systems 77
  • Electrochemistry 75
Replace Allan H. Bretag with:
Allan H. Bretag Australia
Michihiro Tateyama Japan
Francisco Barros Spain
Roland Schönherr Germany
Dorothy A. Hanck United States
Joshua R. Berlin United States
Franck C. Chatelain France
Jayashree Aiyar United States
M M White United States
L. Toro United States
Ken McCormack relative to Allan H. Bretag Australia Allan H. Bretag's profile →
Citations per field
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Allan H. Bretag · 1×
Citations per year

Countries citing papers authored by Ken McCormack

Since Specialization
Citations

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

Fields of papers citing papers by Ken McCormack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ken McCormack. 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 Ken McCormack. The network helps show where Ken McCormack may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992379
2 1991193
3 2013186
4 1994131
5 1994105
6 2006102
7 198999
8 199597
9 199093
10 200973
11 199271
12 200261
13 199941
14 199327
15 198621
16 200419
17 202018
18 199618
19 199916
20 202115

About Ken McCormack

Ken McCormack is a scholar working on Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Infectious Diseases, Molecular Biology and Emergency Medical Services, having authored 30 papers that have together received 1.8k indexed citations. Recurring topics across this work include Ion channel regulation and function (14 papers), Cardiac electrophysiology and arrhythmias (8 papers), Viral Infections and Outbreaks Research (7 papers), Neuroscience and Neuropharmacology Research (6 papers), Nicotinic Acetylcholine Receptors Study (5 papers), Viral Infections and Vectors (3 papers), Aldose Reductase and Taurine (3 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (924 citations), Cardiology and Cardiovascular Medicine (727 citations), Molecular Biology (1.5k citations), Sensory Systems (77 citations) and Electrochemistry (75 citations). Ken McCormack has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Mark A. Tanouye, Fred J. Sigworth, Nathan E. Schoppa, Tom McCormack, Bernardo Rudy, L E Iverson, Jen‐Wei Lin, Mani Ramaswami, James T. Campanelli and Stefan H. Heinemann. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biophysical Journal, Antiviral Research, Bioorganic & Medicinal Chemistry Letters and Journal of Biological Chemistry.

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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