Michael Margulis

665 citations
18 papers · 513 · h-index 11

Impact in

Papers in

    • Ion channel regulation and function 6
    • Advanced biosensing and bioanalysis techniques 5
    • Receptor Mechanisms and Signaling 5
    • Neuroscience and Neuropharmacology Research 4
    • Neuroscience and Neural Engineering 3

Michael Margulis

18 papers receiving 492 citations

Peers

Michael Margulis
Comparison fields: 5 of 78
  • Cellular and Molecular Neuroscience 272
  • Developmental Neuroscience 53
  • Cognitive Neuroscience 130
  • Molecular Biology 258
  • Neurology 26
Replace Wenqin Hu with:
Wenqin Hu China
Benjamin Gerber United States
C. L. Lancashire United Kingdom
C. Wymond Symes New Zealand
M.I. Glavinoviċ Canada
Jun Nishiyama Japan
Tatsuhiko Ebihara Japan
Wiebke Hirdes Germany
Gertrud Goping United States
Michael Margulis relative to Wenqin Hu China Wenqin Hu's profile →
Citations per field
00.5×1.7×
Wenqin Hu · 1×
Citations per year

Countries citing papers authored by Michael Margulis

Since Specialization
Citations

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

Fields of papers citing papers by Michael Margulis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 1999119
2 199497
3 199883
4 200562
5 199740
6 201021
7 200812
8 201912
9 200611
10 202111
11 201911
12 20109
13 20227
14 20217
15 20225
16 20243
17 19982
18 20201

About Michael Margulis

Michael Margulis is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Biomedical Engineering, Cardiology and Cardiovascular Medicine and Infectious Diseases, having authored 18 papers that have together received 513 indexed citations. Recurring topics across this work include Ion channel regulation and function (6 papers), Biosensors and Analytical Detection (6 papers), Advanced biosensing and bioanalysis techniques (5 papers), Receptor Mechanisms and Signaling (5 papers), Cardiac electrophysiology and arrhythmias (4 papers), Neuroscience and Neuropharmacology Research (4 papers), Neuroscience and Neural Engineering (3 papers) and SARS-CoV-2 detection and testing (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (272 citations), Developmental Neuroscience (53 citations), Cognitive Neuroscience (130 citations), Molecular Biology (258 citations) and Neurology (26 citations). Michael Margulis has collaborated with scholars based in United States, Israel and Bulgaria. Frequent co-authors include Cha‐Min Tang, Steve Sorota, Paul S. Fishman, Rebecca S. Hartley, Virginia M.‐Y. Lee, Amos Danielli, Tony Priestley, Kristal R. Tucker, Xue‐Song Zhang and Joseph P. Y. Kao. Their work appears in journals such as Assay and Drug Development Technologies, Journal of Cardiovascular Pharmacology, Journal of Neurophysiology, Applied Physics Letters and Biomedical Optics Express.

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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