Soon Woo Kwon

425 citations
21 papers · 202 · h-index 7

Impact in

Papers in

Soon Woo Kwon

17 papers receiving 198 citations

Peers

Soon Woo Kwon
Comparison fields: 5 of 59
  • Health Informatics 5
  • Immunology 72
  • Oncology 49
  • Biomedical Engineering 48
  • Endocrinology, Diabetes and Metabolism 16
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Citations per field
00.5×2.7×
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Citations per year

Countries citing papers authored by Soon Woo Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Soon Woo Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202157
2 200750
3 202027
4 202316
5 201112
6 20119
7 20117
8 20246
9 20246
10 20223
11 20192
12 20242
13
The Qualitative Case Study on the Restructuring School Curriculum of Deaf School
20051
14
Current Status and Task of Sign Language Education for Deaf Children: Focusing on Deaf Perspectives
20141
15
The Effect of Self Voice Feedback Training Using Praat on the Voice Improvement of Patient with Vocal Nodules
20071
16 20111
17 20121
18 20250
19 20250
20 20200

About Soon Woo Kwon

Soon Woo Kwon is a scholar working on Electrical and Electronic Engineering, Mechanics of Materials, Biomedical Engineering, Information Systems and Atomic and Molecular Physics, and Optics, having authored 21 papers that have together received 202 indexed citations. Recurring topics across this work include Photonic and Optical Devices (3 papers), Semiconductor Lasers and Optical Devices (3 papers), Advanced Fiber Optic Sensors (2 papers), Metal Forming Simulation Techniques (2 papers), Immune Cell Function and Interaction (2 papers), Orthopedic Surgery and Rehabilitation (1 paper), Metal and Thin Film Mechanics (1 paper) and Educational Research and Pedagogy (1 paper). The work is most often cited by research in Health Informatics (5 citations), Immunology (72 citations), Oncology (49 citations), Biomedical Engineering (48 citations) and Endocrinology, Diabetes and Metabolism (16 citations). Soon Woo Kwon has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Dong‐Hyun Kim, Bongseo Choi, Hyunjun Choi, Taehoon Sim, Dae Ho Yoon, Won Il Jang, Myung‐Chul Lee, Ik Joon Choi, Hwan Mook Kim and Woo Seok Yang. Their work appears in journals such as International Journal of Radiation Biology, Soft Matter, Japanese Journal of Applied Physics, Tribology International and International Immunopharmacology.

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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