Su‐Hyun Jo

1.3k citations
55 papers · 963 indexed · h-index 18

Su‐Hyun Jo

54 papers receiving 946 citations

Peers

Su‐Hyun Jo
Comparison fields: 5 of 107
  • Cellular and Molecular Neuroscience 272
  • Cardiology and Cardiovascular Medicine 334
  • Cognitive Neuroscience 203
  • Molecular Biology 501
  • Endocrine and Autonomic Systems 41
Replace Kristopher M. Kahlig with:
Kristopher M. Kahlig United States
R. W. Hadley United States
Aaron C. Gerlach United States
Xulin Xu China
Dmytro Isaev Ukraine
Gábor Turu Hungary
Paolo Ambrosino Italy
Takafumi Ishihara Japan
Asheebo Rojas United States
Simona Magi Italy
Su‐Hyun Jo relative to Kristopher M. Kahlig United States Kristopher M. Kahlig's profile →
Citations per field
00.5×1.5×2.1×
Kristopher M. Kahlig · 1×
Citations per year

Countries citing papers authored by Su‐Hyun Jo

Since Specialization
Citations

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

Fields of papers citing papers by Su‐Hyun Jo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su‐Hyun Jo. 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 Su‐Hyun Jo. The network helps show where Su‐Hyun Jo may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20192
2 20168
3 20167
4 201513
5 20153
6 20146
7 20148
8 201312
9 20136
10 201254
11 20125
12 201114
13 201017
14 200931
15 200938
16 20077
17 20073
18 200610
19
Role of Stretch-Activated Channels in Stretch-Induced Changes of Electrical Activity in Rat Atrial Myocytes
20045
20 200129

About Su‐Hyun Jo

Su‐Hyun Jo is a scholar working on Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 55 papers that have together received 963 indexed citations. Recurring topics across this work include Ion channel regulation and function (32 papers), Cardiac electrophysiology and arrhythmias (29 papers), Neuroscience and Neural Engineering (11 papers), Neuroscience and Neuropharmacology Research (11 papers), Cardiac pacing and defibrillation studies (4 papers), Toxic Organic Pollutants Impact (4 papers), Receptor Mechanisms and Signaling (4 papers) and Neurotransmitter Receptor Influence on Behavior (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (272 citations), Cardiology and Cardiovascular Medicine (334 citations) and Cognitive Neuroscience (203 citations). Su‐Hyun Jo has collaborated with scholars based in South Korea, Puerto Rico and United States. Frequent co-authors include Min Whan Jung, Jung Hoon Sul, Daeyeol Lee, Se‐Young Choi, Han Choe, Kyong‐Tai Kim, Yung E. Earm, Jae Boum Youm, Hee‐Kyung Hong and Won‐Kyung Ho. Their work appears in journals such as Neuron, Journal of Neuroscience and Nature Neuroscience.

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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