Nathan Dascal

9.9k citations
148 papers · 8.3k indexed · 1 hit paper · h-index 48

Nathan Dascal

148 papers receiving 8.1k citations

Hit Papers

The Use ofXenopusOocytes for the Study of Ion Channel5551987202620002013100200300400500

Peers

Nathan Dascal
Comparison fields: 5 of 117
  • Cellular and Molecular Neuroscience 4.8k
  • Cardiology and Cardiovascular Medicine 2.7k
  • Molecular Biology 7.1k
  • Sensory Systems 299
  • Aging 89
Replace Christopher J. Lingle with:
Christopher J. Lingle United States
James Maylie United States
Ligia Toro United States
Paul A. Slesinger United States
Joël Nargeot France
Georges Romey France
Michel Fink France
Yoshihisa Kurachi Japan
H. Criss Hartzell United States
Yoshihiro Kubo Japan
Nathan Dascal relative to Christopher J. Lingle United States Christopher J. Lingle's profile →
Citations per field
00.5×1.5×1.8×
Christopher J. Lingle · 1×
Citations per year

Countries citing papers authored by Nathan Dascal

Since Specialization
Citations

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

Fields of papers citing papers by Nathan Dascal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20237
2 20221
3 202212
4 202116
5 20205
6 20181
7 20179
8 201512
9 201355
10 201392
11 201333
12 201018
13 200414
14 200362
15 2000113
16 20002
17 1997271
18 199615
19 199048
20
The Use ofXenopusOocytes for the Study of Ion Channelbreakdown →
1987555

About Nathan Dascal

Nathan Dascal is a scholar working on Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 148 papers that have together received 8.3k indexed citations. Recurring topics across this work include Ion channel regulation and function (126 papers), Neuroscience and Neuropharmacology Research (68 papers), Cardiac electrophysiology and arrhythmias (59 papers), Receptor Mechanisms and Signaling (52 papers), Neuroscience and Neural Engineering (27 papers), Nicotinic Acetylcholine Receptors Study (11 papers), Photoreceptor and optogenetics research (9 papers) and Ion Transport and Channel Regulation (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (4.8k citations), Cardiology and Cardiovascular Medicine (2.7k citations) and Molecular Biology (7.1k citations). Nathan Dascal has collaborated with scholars based in Israel, United States and Austria. Frequent co-authors include Ilana Lotan, Wolfgang Schreibmayer, Tatiana Ivanina, Y. Lass, Veit Flockerzi, Henry A. Lester, Martin Biel, Franz Hofmann, Carmen Dessauer and Norman Davidson. Their work appears in journals such as Journal of Biological Chemistry, FEBS Letters, The Journal of Physiology, Pflügers Archiv - European Journal of Physiology and Proceedings of the National Academy of Sciences.

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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