Ken McCormack

2.1k citations
26 papers · 1.5k · h-index 16

Impact in

Papers in

Ken McCormack

25 papers receiving 1.5k citations

Peers

Ken McCormack
Comparison fields: 5 of 85
  • Cellular and Molecular Neuroscience 821
  • Cardiology and Cardiovascular Medicine 644
  • Molecular Biology 1.3k
  • Sensory Systems 70
  • Electrochemistry 71
Replace Allan H. Bretag with:
Allan H. Bretag Australia
Francisco Barros Spain
M M White United States
Kimberly A. Clark United States
Stephan A. Pless Denmark
Joshua R. Berlin United States
Huaizong Shen China
Yajamana Ramu United States
Armando Lagrutta United States
Andrew Bruening‐Wright 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 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992361
2 1991183
3 2013176
4 1994101
5 199598
6 200692
7 199089
8 200971
9 199269
10 200259
11 199940
12 199325
13 200419
14 199618
15 198618
16 202016
17 202114
18 199914
19 201410
20 200010

About Ken McCormack

Ken McCormack is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Infectious Diseases and Oncology, having authored 26 papers that have together received 1.5k indexed citations. Recurring topics across this work include Ion channel regulation and function (14 papers), Cardiac electrophysiology and arrhythmias (8 papers), Neuroscience and Neuropharmacology Research (6 papers), Viral Infections and Outbreaks Research (6 papers), Nicotinic Acetylcholine Receptors Study (5 papers), Viral Infections and Vectors (3 papers), Viral gastroenteritis research and epidemiology (2 papers) and Influenza Virus Research Studies (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (821 citations), Cardiology and Cardiovascular Medicine (644 citations), Molecular Biology (1.3k citations), Sensory Systems (70 citations) and Electrochemistry (71 citations). Ken McCormack has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Mark A. Tanouye, Fred J. Sigworth, Nathan E. Schoppa, Bernardo Rudy, L E Iverson, Jen‐Wei Lin, Stefan H. Heinemann, Karen Padilla, Tom McCormack and Li Lin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Antiviral Research, Biophysical Journal, Journal of Biological Chemistry and Bioorganic & Medicinal Chemistry Letters.

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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