Christopher Katnik

998 citations
27 papers · 894 · h-index 17

Impact in

Papers in

    • Ion channel regulation and function 14
    • Pharmacological Receptor Mechanisms and Effects 10
    • Receptor Mechanisms and Signaling 7
    • Neuroscience and Neuropharmacology Research 10
    • Neuropeptides and Animal Physiology 3

Christopher Katnik

27 papers receiving 882 citations

Peers

Christopher Katnik
Comparison fields: 5 of 94
  • Biological Psychiatry 39
  • Cellular and Molecular Neuroscience 257
  • Neurology 81
  • Molecular Biology 542
  • Sensory Systems 31
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Citations per field
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Citations per year

Countries citing papers authored by Christopher Katnik

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Katnik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012169
2 2006101
3 200883
4 200574
5 199574
6 199753
7 201040
8 201129
9 201328
10 200024
11 200824
12
Sigma receptor activation inhibits voltage-gated sodium channels in rat intracardiac ganglion neurons.
200923
13 201722
14 201620
15 199020
16 199319
17 199016
18 201715
19 201615
20 201411

About Christopher Katnik

Christopher Katnik is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Physiology and Neurology, having authored 27 papers that have together received 894 indexed citations. Recurring topics across this work include Ion channel regulation and function (14 papers), Neuroscience and Neuropharmacology Research (10 papers), Pharmacological Receptor Mechanisms and Effects (10 papers), Receptor Mechanisms and Signaling (7 papers), Cardiac electrophysiology and arrhythmias (4 papers), Adenosine and Purinergic Signaling (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Neuropeptides and Animal Physiology (3 papers). The work is most often cited by research in Biological Psychiatry (39 citations), Cellular and Molecular Neuroscience (257 citations), Neurology (81 citations), Molecular Biology (542 citations) and Sensory Systems (31 citations). Christopher Katnik has collaborated with scholars based in United States, Australia and Russia. Frequent co-authors include Javier Cuevas, David J. Adams, Adam A. Behensky, Keith R. Pennypacker, Javier Cuevas, Waldo R. Guerrero, Richard B. Crouse, Dirk van Helden, Shivshankar Sundaram and David W. Smith. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, Journal of Pharmacology and Experimental Therapeutics, Biophysical Journal, The Journal of Membrane Biology 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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