Sohee Kwon

5.3k citations
18 papers · 813 · h-index 9

Impact in

    • RNA Research and Splicing
    • RNA modifications and cancer
    • Histone Deacetylase Inhibitors Research
    • RNA regulation and disease
    • Mitochondrial Function and Pathology
  • Neurology top 10%
    • Intracerebral and Subarachnoid Hemorrhage Research

Papers in

Sohee Kwon

14 papers receiving 793 citations

Peers

Sohee Kwon
Comparison fields: 5 of 102
  • Molecular Biology 454
  • Neurology 91
  • Drug Discovery 1
  • Transportation 40
  • Cardiology and Cardiovascular Medicine 107
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Qiuyue Kong China
Rui Ji China
Marta Moya Spain
Phung N. Thai United States
Niall Burke United Kingdom
Akinori Eiyama Japan
Shu Xu China
Seungmin Yoo South Korea
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Jae Hyuk Choi South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Sohee Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Sohee Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2007337
2 2003242
3 200978
4 201443
5 202021
6 201919
7 202218
8 202017
9 202116
10 20208
11 20246
12
How to Present New Words: An Empirical Study & Students' Perception
20042
13 20182
14 20252
15 20241
16 20211
17
Abstract 18179: Application of Machine Learning Algorithm for Early Prediction to Classify Atrial Fibrillation Into Paroxysmal and Non-Paroxysmal by Analysis of fibrillatory Wave on 12-Lead Electrocardiography
20170
18 20230

About Sohee Kwon

Sohee Kwon is a scholar working on Molecular Biology, Clinical Psychology, Epidemiology, Pharmacology and Computer Networks and Communications, having authored 18 papers that have together received 813 indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (1 paper), Educational Research and Pedagogy (1 paper), Respiratory Support and Mechanisms (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper), Hepatitis B Virus Studies (1 paper), Evacuation and Crowd Dynamics (1 paper), Urban Transport and Accessibility (1 paper) and Menopause: Health Impacts and Treatments (1 paper). The work is most often cited by research in Molecular Biology (454 citations), Neurology (91 citations), Drug Discovery (1 citation), Transportation (40 citations) and Cardiology and Cardiovascular Medicine (107 citations). Sohee Kwon has collaborated with scholars based in South Korea, United States and Australia. Frequent co-authors include Patrick Matthias, Yu Zhang, Sung‐Cheol Yun, Sang‐Beom Jeon, Dong‐Wha Kang, J. S. Kim, Andrew T. Chan, Keemin Sohn, Hyun-Mi Kim and A Lum Han. Their work appears in journals such as Social Psychiatry and Psychiatric Epidemiology, Journal of Molecular and Cellular Cardiology, English Teaching Practice & Critique, Circulation and Genes & Development.

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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