Michael Sawchuk

862 citations
22 papers · 697 · h-index 16

Impact in

Papers in

Michael Sawchuk

20 papers receiving 684 citations

Peers

Michael Sawchuk
Comparison fields: 5 of 70
  • Cellular and Molecular Neuroscience 306
  • Endocrine and Autonomic Systems 86
  • Developmental Neuroscience 37
  • Physiology 155
  • Cell Biology 93
Replace Terence H. Williams with:
Terence H. Williams United States
Cornelia A. Bentley United States
D.M. Nance Canada
Maria Luisa Lucchi Italy
M. Manier France
Rosemary C. Challis United States
Teizo Ueyama Japan
Jean Y. Jew United States
Leslie K. Sprunger United States
Hessameh Hassani Sweden
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Citations per field
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Citations per year

Countries citing papers authored by Michael Sawchuk

Since Specialization
Citations

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

Fields of papers citing papers by Michael Sawchuk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199995
2 200786
3 200856
4 199256
5 199450
6 199546
7 201443
8 200531
9 200531
10 200530
11 200929
12 199827
13 200824
14 199220
15 201718
16 201216
17 201213
18 199512
19 200511
20 20173

About Michael Sawchuk

Michael Sawchuk is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Pathology and Forensic Medicine and Endocrine and Autonomic Systems, having authored 22 papers that have together received 697 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Connexins and lens biology (4 papers), Ion channel regulation and function (4 papers), Nicotinic Acetylcholine Receptors Study (4 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Pain Mechanisms and Treatments (3 papers), Sleep and Wakefulness Research (3 papers) and Neurogenesis and neuroplasticity mechanisms (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (306 citations), Endocrine and Autonomic Systems (86 citations), Developmental Neuroscience (37 citations), Physiology (155 citations) and Cell Biology (93 citations). Michael Sawchuk has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Shawn Hochman, J.I. Nagy, Stefan Clemens, Elliot L. Hertzberg, Hong Zhu, Kimberly J. Dougherty, Zhiyu Jiang, Kevin P. Carlin, Robert M. Brownstone and D.M. Nance. Their work appears in journals such as Neuroscience, Journal of Cutaneous Medicine and Surgery, Glia, Journal of Neurophysiology and Brain Research.

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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