Michael Pasternack

2.0k citations
36 papers · 1.7k indexed · h-index 24

Impact in

Papers in

Michael Pasternack

36 papers receiving 1.6k citations

Peers

Michael Pasternack
Comparison fields: 5 of 97
  • Cellular and Molecular Neuroscience 962
  • Developmental Neuroscience 108
  • Molecular Biology 1.1k
  • Sensory Systems 65
  • Cardiology and Cardiovascular Medicine 247
Replace Andrea L. Bauman with:
Andrea L. Bauman United States
Lakshmi Sangameswaran United States
T H Joh United States
J. Bockaert France
Hai Yan United States
Stéphane Doly France
Gül Erdemli United Kingdom
Christiane Mourre France
Mirek Jurzak Belgium
David E. Garcı́a Mexico
Michael Pasternack relative to Andrea L. Bauman United States Andrea L. Bauman's profile →
Citations per field
00.5×1.5×2.2×
Andrea L. Bauman · 1×
Citations per year

Countries citing papers authored by Michael Pasternack

Since Specialization
Citations

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

Fields of papers citing papers by Michael Pasternack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20223
2 200910
3 200827
4 200711
5 200637
6 200515
7 200315
8 200267
9 20029
10 200193
11 200137
12 200046
13 200014
14 1999229
15 199924
16 199846
17 1998106
18 199670
19 19922
20 199259

About Michael Pasternack

Michael Pasternack is a scholar working on Cellular and Molecular Neuroscience, Biological Psychiatry, Molecular Biology, Neurology and Cardiology and Cardiovascular Medicine, having authored 36 papers that have together received 1.7k indexed citations. Recurring topics across this work include Ion channel regulation and function (20 papers), Neuroscience and Neuropharmacology Research (17 papers), Sphingolipid Metabolism and Signaling (7 papers), Lipid Membrane Structure and Behavior (5 papers), Cardiac electrophysiology and arrhythmias (5 papers), Receptor Mechanisms and Signaling (4 papers), Neural dynamics and brain function (3 papers) and Photoreceptor and optogenetics research (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (962 citations), Developmental Neuroscience (108 citations), Molecular Biology (1.1k citations), Sensory Systems (65 citations) and Cardiology and Cardiovascular Medicine (247 citations). Michael Pasternack has collaborated with scholars based in Finland, Germany and United States. Frequent co-authors include Kai Kaila, Juha Voipio, Hugh Chapman, Kid Törnquist, Märt Saarma, Rudolf A. Deisz, Pekka Paalasmaa, Katri Wegelius, Sergei Smirnov and Claudio Rivera. Their work appears in journals such as European Journal of Neuroscience, European Journal of Pharmacology, The Journal of Physiology, Journal of Biological Chemistry and Neuroscience.

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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