Gary Yellen

17.4k citations
100 papers · 13.6k · 4 hit papers · h-index 57

Impact in

Papers in

    • Ion channel regulation and function 61
    • Nicotinic Acetylcholine Receptors Study 16
    • Mitochondrial Function and Pathology 14
    • Neuroscience and Neuropharmacology Research 49
    • Neuroscience and Neural Engineering 11

Gary Yellen

99 papers receiving 13.4k citations

Gary Yellen's Hit Papers

The voltage-gated potassium channels and their relatives 2002 · 534 citations
5340+12+24Years since publication200400600

Peers

Gary Yellen
Comparison fields: 5 of 150
  • Cellular and Molecular Neuroscience 6.7k
  • Cardiology and Cardiovascular Medicine 4.9k
  • Molecular Biology 11.3k
  • Sensory Systems 469
  • Biophysics 458
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W. Jonathan Lederer United States
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Citations per year

Countries citing papers authored by Gary Yellen

Since Specialization
Citations

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

Fields of papers citing papers by Gary Yellen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The inward rectification mechanism of the HERG cardiac potassium channel
Hit paper breakdown →
1996639
2
The voltage-gated potassium channels and their relatives
Hit paper breakdown →
2002534
3
Mutations Affecting Internal TEA Blockade Identify the Probable Pore-Forming Region of a K + Channel
Hit paper breakdown →
1991507
4
Mutations Affecting Tea Blockade and Ion Permeation in Voltage-activated K + Channels
Hit paper breakdown →
1990481
5 1997427
6 1984419
7 2011394
8 1996391
9 1982385
10 1998385
11 1991384
12 2009378
13 2011346
14 2013341
15 1995336
16 2017326
17 2000292
18 1991271
19 1994260
20 1982257

About Gary Yellen

Gary Yellen is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Physiology and Biophysics, having authored 100 papers that have together received 13.6k indexed citations. Recurring topics across this work include Ion channel regulation and function (61 papers), Neuroscience and Neuropharmacology Research (49 papers), Cardiac electrophysiology and arrhythmias (31 papers), Nicotinic Acetylcholine Receptors Study (16 papers), Mitochondrial Function and Pathology (14 papers), Neuroscience and Neural Engineering (11 papers), Adipose Tissue and Metabolism (9 papers) and Advanced Fluorescence Microscopy Techniques (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (6.7k citations), Cardiology and Cardiovascular Medicine (4.9k citations), Molecular Biology (11.3k citations), Sensory Systems (469 citations) and Biophysics (458 citations). Gary Yellen has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Mark E. Jurman, Thomas Baukrowitz, Yin P. Hung, Miguel Holmgren, Roderick MacKinnon, Mathew Tantama, Paula L. Smith, Donato del Camino, Jim Berg and Rebecca Mongeon. Their work appears in journals such as The Journal of General Physiology, Neuron, Biophysical Journal, Nature 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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