David N. Parcej

2.8k citations
31 papers · 2.3k indexed · 1 hit paper · h-index 24

David N. Parcej

31 papers receiving 2.3k citations

Hit Papers

Inactivation properties of voltage-gated K+ channels alte...7131994202620042015200400600

Peers

David N. Parcej
Comparison fields: 5 of 111
  • Cellular and Molecular Neuroscience 1.0k
  • Cardiology and Cardiovascular Medicine 788
  • Molecular Biology 2.0k
  • Sensory Systems 95
  • Virology 33
Replace Matthew R. Whorton with:
Matthew R. Whorton United States
Jiuping Ding China
Christian Vannier France
Noam Zilberberg Israel
Huai‐Ping Ling United States
György Panyi Hungary
Ilana Lotan Israel
Michel Ronjat France
Tatiana Abramson United States
Margaret H. Butler United States
David N. Parcej relative to Matthew R. Whorton United States Matthew R. Whorton's profile →
Citations per field
00.5×3.2×
Matthew R. Whorton · 1×
Citations per year

Countries citing papers authored by David N. Parcej

Since Specialization
Citations

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

Fields of papers citing papers by David N. Parcej

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David N. Parcej. 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 David N. Parcej. The network helps show where David N. Parcej may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201635
2 201415
3 201424
4 201324
5 201126
6 201025
7 201097
8 20081
9 20075
10 2007121
11 200524
12 20056
13 200333
14 199970
15 199693
16 1994135
17 199436
18
Inactivation properties of voltage-gated K+ channels altered by presence of β-subunitbreakdown →
1994713
19 199223
20 198799

About David N. Parcej

David N. Parcej is a scholar working on Cellular and Molecular Neuroscience, Virology and Molecular Biology, having authored 31 papers that have together received 2.3k indexed citations. Recurring topics across this work include Ion channel regulation and function (19 papers), Neuroscience and Neuropharmacology Research (13 papers), Nicotinic Acetylcholine Receptors Study (8 papers), Cardiac electrophysiology and arrhythmias (7 papers), Drug Transport and Resistance Mechanisms (4 papers), RNA Interference and Gene Delivery (3 papers), Lipid Membrane Structure and Behavior (3 papers) and Photosynthetic Processes and Mechanisms (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.0k citations), Cardiology and Cardiovascular Medicine (788 citations) and Molecular Biology (2.0k citations). David N. Parcej has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include J. Oliver Dolly, Olaf Pongs, Jens Rettig, Stefan H. Heinemann, Christoph Lorra, Victoria Scott, Frank Wunder, Robert Tampé, Janet Vonck and Oleg Shamotienko. Their work appears in journals such as Biochemistry, Journal of Biological Chemistry, Journal of Molecular Biology, Proceedings of the National Academy of Sciences and PLoS ONE.

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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