Sangwon Byun

1.6k total citations
44 papers, 1.2k citations indexed

About

Sangwon Byun is a scholar working on Biomedical Engineering, Cardiology and Cardiovascular Medicine and Experimental and Cognitive Psychology. According to data from OpenAlex, Sangwon Byun has authored 44 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Biomedical Engineering, 10 papers in Cardiology and Cardiovascular Medicine and 9 papers in Experimental and Cognitive Psychology. Recurrent topics in Sangwon Byun's work include Heart Rate Variability and Autonomic Control (10 papers), Stress Responses and Cortisol (6 papers) and Microfluidic and Bio-sensing Technologies (6 papers). Sangwon Byun is often cited by papers focused on Heart Rate Variability and Autonomic Control (10 papers), Stress Responses and Cortisol (6 papers) and Microfluidic and Bio-sensing Technologies (6 papers). Sangwon Byun collaborates with scholars based in South Korea, United States and Japan. Sangwon Byun's co-authors include Scott R. Manalis, Vivian Hecht, Kwan Woo Choi, Ah Young Kim, Eun Hye Jang, Hong Jin Jeon, Joon Ho Kang, Han Young Yu, Seunghwan Kim and Tyler Jacks and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

In The Last Decade

Sangwon Byun

38 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sangwon Byun South Korea 19 555 187 152 137 135 44 1.2k
David Eddington United States 33 1.9k 3.4× 107 0.6× 467 3.1× 142 1.0× 27 0.2× 137 3.5k
Roel Deckers Netherlands 29 1.9k 3.3× 31 0.2× 371 2.4× 413 3.0× 41 0.3× 66 2.9k
Charles R. Michelich United States 8 824 1.5× 34 0.2× 440 2.9× 256 1.9× 20 0.1× 11 1.9k
Justin Liu United States 24 2.1k 3.8× 188 1.0× 622 4.1× 59 0.4× 25 0.2× 54 3.0k
Qin Wan China 24 384 0.7× 64 0.3× 548 3.6× 124 0.9× 115 0.9× 122 1.9k
Aleksandra K. Denisin United States 9 625 1.1× 392 2.1× 588 3.9× 163 1.2× 38 0.3× 12 2.0k
Luca Urbani United Kingdom 27 661 1.2× 77 0.4× 496 3.3× 79 0.6× 34 0.3× 66 2.2k
Yunyan Xie China 17 413 0.7× 131 0.7× 155 1.0× 175 1.3× 34 0.3× 36 948
Wenhua Liu United States 17 192 0.3× 235 1.3× 394 2.6× 135 1.0× 51 0.4× 23 1.3k
Hyun Ho Jung South Korea 25 517 0.9× 20 0.1× 311 2.0× 169 1.2× 40 0.3× 130 2.2k

Countries citing papers authored by Sangwon Byun

Since Specialization
Citations

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

Fields of papers citing papers by Sangwon Byun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sangwon Byun

This figure shows the co-authorship network connecting the top 25 collaborators of Sangwon Byun. A scholar is included among the top collaborators of Sangwon Byun based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sangwon Byun. Sangwon Byun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
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Yang, Sumin, Jieun Seo, Jeong‐Hyeon Choi, et al.. (2025). Towards understanding cancer dormancy over strategic hitching up mechanisms to technologies. Molecular Cancer. 24(1). 47–47. 3 indexed citations
3.
Jang, Eun-Hye, et al.. (2025). Classifying social and physical pain from multimodal physiological signals using machine learning. Scientific Reports. 15(1). 27674–27674.
4.
5.
Jang, Eun-Hye, et al.. (2024). Comparing multimodal physiological responses to social and physical pain in healthy participants. Frontiers in Public Health. 12. 1387056–1387056. 2 indexed citations
6.
Kang, Noeul, et al.. (2024). Novel Artificial Intelligence-Based Technology to Diagnose Asthma Using Methacholine Challenge Tests. Allergy Asthma and Immunology Research. 16(1). 42–42. 9 indexed citations
7.
Byun, Sangwon, et al.. (2023). Age Prediction in Healthy Subjects Using RR Intervals and Heart Rate Variability: A Pilot Study Based on Deep Learning. Applied Sciences. 13(5). 2932–2932. 4 indexed citations
8.
Park, Mi Jin, Eun Hye Jang, Ah Young Kim, et al.. (2022). Comparison of Peripheral Biomarkers and Reduction of Stress Response in Patients With Major Depressive Disorders vs. Panic Disorder. Frontiers in Psychiatry. 13. 842963–842963. 3 indexed citations
9.
Choi, Kwan Woo, Eun Hye Jang, Ah Young Kim, et al.. (2020). Predictive inflammatory biomarkers for change in suicidal ideation in major depressive disorder and panic disorder: A 12-week follow-up study. Journal of Psychiatric Research. 133. 73–81. 30 indexed citations
10.
Byun, Sangwon, Ah Young Kim, Eun Hye Jang, et al.. (2019). Detection of major depressive disorder from linear and nonlinear heart rate variability features during mental task protocol. Computers in Biology and Medicine. 112. 103381–103381. 76 indexed citations
11.
Byun, Sangwon, Ah Young Kim, Eun Hye Jang, et al.. (2019). Entropy analysis of heart rate variability and its application to recognize major depressive disorder: A pilot study. Technology and Health Care. 27(1_suppl). 407–424. 51 indexed citations
12.
Kim, Ah Young, Eun Hye Jang, Kwan Woo Choi, et al.. (2019). Skin conductance responses in Major Depressive Disorder (MDD) under mental arithmetic stress. PLoS ONE. 14(4). e0213140–e0213140. 29 indexed citations
13.
Jang, Eun-Hye, Sangwon Byun, Misook Park, & Jin‐Hun Sohn. (2019). Reliability of Physiological Responses Induced by Basic Emotions: A Pilot Study. Journal of PHYSIOLOGICAL ANTHROPOLOGY. 38(1). 15–15. 17 indexed citations
14.
Kim, Ah Young, Eun Hye Jang, Seunghwan Kim, et al.. (2018). Automatic detection of major depressive disorder using electrodermal activity. Scientific Reports. 8(1). 17030–17030. 54 indexed citations
15.
Byun, Sangwon, Vivian Hecht, & Scott R. Manalis. (2015). Characterizing Cellular Biophysical Responses to Stress by Relating Density, Deformability, and Size. Biophysical Journal. 109(8). 1565–1573. 26 indexed citations
16.
Bagnall, Josephine, Sangwon Byun, Shahinoor Begum, et al.. (2015). Deformability of Tumor Cells versus Blood Cells. Scientific Reports. 5(1). 18542–18542. 112 indexed citations
17.
Byun, Sangwon, et al.. (2013). Transport and binding of tumor necrosis factor-α in articular cartilage depend on its quaternary structure. Archives of Biochemistry and Biophysics. 540(1-2). 1–8. 4 indexed citations
18.
Byun, Sangwon, Tatiana Ort, Karl Kavalkovich, et al.. (2013). Transport of anti-IL-6 antigen binding fragments into cartilage and the effects of injury. Archives of Biochemistry and Biophysics. 532(1). 15–22. 21 indexed citations
19.
Byun, Sangwon, Micky D. Tortorella, Anne‐Marie Malfait, et al.. (2010). Transport and equilibrium uptake of a peptide inhibitor of PACE4 into articular cartilage is dominated by electrostatic interactions. Archives of Biochemistry and Biophysics. 499(1-2). 32–39. 34 indexed citations
20.
Byun, Sangwon, Seok Chung, Tai Hyun Park, et al.. (2004). Retinal Pigment Epithelial Cell Behavior is Modulated by Alterations in Focal Cell–Substrate Contacts. Investigative Ophthalmology & Visual Science. 45(11). 4210–4210. 26 indexed citations

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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