Edwin S. Levitan

8.0k citations
129 papers · 6.9k · h-index 47

Impact in

Papers in

Edwin S. Levitan

128 papers receiving 6.6k citations

Peers

Edwin S. Levitan
Comparison fields: 5 of 132
  • Cellular and Molecular Neuroscience 3.4k
  • Cell Biology 1.2k
  • Molecular Biology 4.4k
  • Cardiology and Cardiovascular Medicine 1.1k
  • Aging 80
Replace Valentin Stein with:
Valentin Stein Germany
Barbara E. Ehrlich United States
Randy A. Hall United States
H. Criss Hartzell United States
Stanley C. Froehner United States
Geert Callewaert Belgium
Gary A. Wayman United States
Éric Honoré France
Kei Maruyama Japan
Patrick Delmas France
Edwin S. Levitan relative to Valentin Stein Germany Valentin Stein's profile →
Citations per field
00.5×1.5×1.9×
Valentin Stein · 1×
Citations per year

Countries citing papers authored by Edwin S. Levitan

Since Specialization
Citations

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

Fields of papers citing papers by Edwin S. Levitan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edwin S. Levitan. 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 Edwin S. Levitan. The network helps show where Edwin S. Levitan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 129 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988562
2 2003223
3 2000213
4 2002192
5 1988181
6 2004170
7 1991164
8 1997143
9 2001139
10 1988125
11 2007123
12 2012120
13 2009118
14 1999116
15 2012112
16 2001111
17 1997108
18 2004106
19 1993101
20 200599

About Edwin S. Levitan

Edwin S. Levitan is a scholar working on Cellular and Molecular Neuroscience, Cell Biology, Molecular Biology, Cardiology and Cardiovascular Medicine and Biophysics, having authored 129 papers that have together received 6.9k indexed citations. Recurring topics across this work include Ion channel regulation and function (58 papers), Neuroscience and Neuropharmacology Research (42 papers), Cellular transport and secretion (33 papers), Cardiac electrophysiology and arrhythmias (32 papers), Lipid Membrane Structure and Behavior (27 papers), Neurobiology and Insect Physiology Research (23 papers), Receptor Mechanisms and Signaling (16 papers) and Photoreceptor and optogenetics research (11 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (3.4k citations), Cell Biology (1.2k citations), Molecular Biology (4.4k citations), Cardiology and Cardiovascular Medicine (1.1k citations) and Aging (80 citations). Edwin S. Levitan has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Koichi Takimoto, Elias Aizenman, Richard Kramer, Dinara M. Shakiryanova, Eric A. Barnard, Weiping Han, David L. Deitcher, Danqin Li, Karen A. Hartnett and Jeanne M. Nerbonne. Their work appears in journals such as Journal of Neuroscience, Proceedings of the National Academy of Sciences, Neuron, Journal of Biological Chemistry and Circulation Research.

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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