Yung E. Earm

99 papers receiving 2.6k citations

Peers

Yung E. Earm
Comparison fields: 5 of 111
  • Cardiology and Cardiovascular Medicine 1.2k
  • Sensory Systems 218
  • Cellular and Molecular Neuroscience 776
  • Molecular Biology 1.6k
  • Physiology 567
Replace Jennings F. Worley with:
Jennings F. Worley United States
Aleksey V. Zima United States
Nicholas B. Standen United Kingdom
Kent Hermsmeyer United States
P Donoso Chile
Madeline Nieves‐Cintrón United States
Hermann Nawrath Germany
Pasqualina Castaldo Italy
Satomi Kita Japan
Bernard Ribalet United States
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Citations per field
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Citations per year

Countries citing papers authored by Yung E. Earm

Since Specialization
Citations

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

Fields of papers citing papers by Yung E. Earm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yung E. Earm. 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 Yung E. Earm. The network helps show where Yung E. Earm may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002112
2 1991112
3 2000100
4 199398
5 199087
6 199976
7 200173
8 200070
9 200267
10 199565
11 200164
12 200357
13 199455
14 201150
15 200850
16 200850
17 200548
18 200645
19 199345
20 199844

About Yung E. Earm

Yung E. Earm is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Physiology and Pathology and Forensic Medicine, having authored 99 papers that have together received 2.7k indexed citations. Recurring topics across this work include Ion channel regulation and function (66 papers), Cardiac electrophysiology and arrhythmias (62 papers), Neuroscience and Neural Engineering (20 papers), Nitric Oxide and Endothelin Effects (15 papers), Neuroscience and Neuropharmacology Research (13 papers), Cardiac Ischemia and Reperfusion (11 papers), Receptor Mechanisms and Signaling (9 papers) and Ion Channels and Receptors (7 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.2k citations), Sensory Systems (218 citations), Cellular and Molecular Neuroscience (776 citations), Molecular Biology (1.6k citations) and Physiology (567 citations). Yung E. Earm has collaborated with scholars based in South Korea, Ethiopia and United Kingdom. Frequent co-authors include Won‐Kyung Ho, Suk‐Ho Lee, Jin Han, Jae Boum Youm, Won Sun Park, Denis Noble, Euiyong Kim, Nari Kim, Sung Joon Kim and Jae‐Hong Ko. Their work appears in journals such as Pflügers Archiv - European Journal of Physiology, Progress in Biophysics and Molecular Biology, The Journal of Physiology, Biochemical and Biophysical Research Communications and Journal of Cardiovascular Pharmacology.

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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