Daniel A. Pasek

1.5k citations
38 papers · 1.3k · h-index 19

Impact in

Papers in

Daniel A. Pasek

33 papers receiving 1.2k citations

Peers

Daniel A. Pasek
Comparison fields: 5 of 94
  • Sensory Systems 158
  • Cardiology and Cardiovascular Medicine 677
  • Physiology 123
  • Cellular and Molecular Neuroscience 338
  • Molecular Biology 1.0k
Replace S. R. Wayne Chen with:
S. R. Wayne Chen Canada
Bradley R. Fruen United States
Svetlana B. Tikunova United States
Avia Rosenhouse‐Dantsker United States
Mariah R. Baker United States
Jana Gaburjáková Slovakia
Yuichiro Fujiwara Japan
Franck C. Chatelain France
Ruiwu Wang Canada
Chia‐Hsueh Lee United States
Daniel A. Pasek relative to S. R. Wayne Chen Canada S. R. Wayne Chen's profile →
Citations per field
00.5×1.5×
S. R. Wayne Chen · 1×
Citations per year

Countries citing papers authored by Daniel A. Pasek

Since Specialization
Citations

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

Fields of papers citing papers by Daniel A. Pasek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel A. Pasek. 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 Daniel A. Pasek. The network helps show where Daniel A. Pasek may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001178
2 1997137
3 2003129
4 199896
5 199991
6 199881
7 200557
8 199856
9 199641
10 200636
11 201331
12 201130
13 200830
14 200529
15 199928
16 199923
17 201822
18 202120
19 201919
20 201517

About Daniel A. Pasek

Daniel A. Pasek is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Sensory Systems and Physiology, having authored 38 papers that have together received 1.3k indexed citations. Recurring topics across this work include Ion channel regulation and function (33 papers), Cardiac electrophysiology and arrhythmias (22 papers), Ion Channels and Receptors (7 papers), Nicotinic Acetylcholine Receptors Study (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Calcium signaling and nucleotide metabolism (3 papers), Signaling Pathways in Disease (3 papers) and Cardiovascular Effects of Exercise (2 papers). The work is most often cited by research in Sensory Systems (158 citations), Cardiology and Cardiovascular Medicine (677 citations), Physiology (123 citations), Cellular and Molecular Neuroscience (338 citations) and Molecular Biology (1.0k citations). Daniel A. Pasek has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Gerhard Meissner, Le Xu, Naohiro Yamaguchi, Ashutosh Tripathy, David M. Balshaw, Eduardo Rı́os, Wei Liu, Ying Wang, Nikolay V. Dokholyan and Venkat R. Chirasani. Their work appears in journals such as Journal of Biological Chemistry, American Journal of Physiology-Cell Physiology, Biochemistry, American Journal of Physiology-Heart and Circulatory Physiology and Biophysical Journal.

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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