Soon Bin Kwon

605 total citations
29 papers, 408 citations indexed

About

Soon Bin Kwon is a scholar working on Neurology, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Soon Bin Kwon has authored 29 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Neurology, 8 papers in Molecular Biology and 6 papers in Biomedical Engineering. Recurrent topics in Soon Bin Kwon's work include Traumatic Brain Injury and Neurovascular Disturbances (8 papers), Intracranial Aneurysms: Treatment and Complications (4 papers) and RNA and protein synthesis mechanisms (4 papers). Soon Bin Kwon is often cited by papers focused on Traumatic Brain Injury and Neurovascular Disturbances (8 papers), Intracranial Aneurysms: Treatment and Complications (4 papers) and RNA and protein synthesis mechanisms (4 papers). Soon Bin Kwon collaborates with scholars based in South Korea, United States and Switzerland. Soon Bin Kwon's co-authors include Hee Chan Kim, Yunseo Ku, Du Hyun Ro, Baik Lin Seong, Myung Chul Lee, Ji Eun Yu, Hyuk‐Soo Han, Chan Park, Ahyun Son and Jinhee Lee and has published in prestigious journals such as Biomaterials, Stroke and Annals of Neurology.

In The Last Decade

Soon Bin Kwon

26 papers receiving 398 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Soon Bin Kwon South Korea 12 90 81 78 78 63 29 408
Hailong Liu China 16 139 1.5× 81 1.0× 31 0.4× 73 0.9× 21 0.3× 43 541
Wenshu Tang Hong Kong 17 236 2.6× 47 0.6× 81 1.0× 117 1.5× 25 0.4× 33 1.0k
Caleb A. Ford United States 12 174 1.9× 37 0.5× 40 0.5× 122 1.6× 17 0.3× 19 422
Jeremy Rich United States 9 88 1.0× 42 0.5× 13 0.2× 112 1.4× 102 1.6× 9 492
Lídia Perea Spain 16 95 1.1× 11 0.1× 35 0.4× 77 1.0× 136 2.2× 47 699
Scott Kirk United States 5 40 0.4× 38 0.5× 15 0.2× 94 1.2× 25 0.4× 9 251
Min‐Hee Kang South Korea 12 75 0.8× 16 0.2× 10 0.1× 67 0.9× 21 0.3× 71 495
Craig Weinkauf United States 12 34 0.4× 31 0.4× 53 0.7× 7 0.1× 38 0.6× 44 461
Kathleen Cheng United States 8 129 1.4× 16 0.2× 26 0.3× 28 0.4× 7 0.1× 15 436

Countries citing papers authored by Soon Bin Kwon

Since Specialization
Citations

This map shows the geographic impact of Soon Bin 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 Bin 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 Bin Kwon more than expected).

Fields of papers citing papers by Soon Bin Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Soon Bin Kwon

This figure shows the co-authorship network connecting the top 25 collaborators of Soon Bin Kwon. A scholar is included among the top collaborators of Soon Bin Kwon 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 Soon Bin Kwon. Soon Bin Kwon 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.
2.
El‐Hussein, Ahmed, Murad Megjhani, Miriam Weiss, et al.. (2023). A generalizable physiological model for detection of Delayed Cerebral Ischemia using Federated Learning. PubMed. 2023. 1886–1889. 1 indexed citations
3.
Megjhani, Murad, Soon Bin Kwon, Ángela Velázquez, et al.. (2023). A Deep Learning Framework for Deriving Noninvasive Intracranial Pressure Waveforms from Transcranial Doppler. Annals of Neurology. 94(1). 196–202. 9 indexed citations
4.
Megjhani, Murad, Catharina Conzen, Walid Albanna, et al.. (2023). The oxygen reactivity index indicates disturbed local perfusion regulation after aneurysmal subarachnoid hemorrhage: an observational cohort study. Critical Care. 27(1). 235–235. 8 indexed citations
5.
Ridha, Mohamed, Murad Megjhani, Soon Bin Kwon, et al.. (2023). Suboptimal Cerebral Perfusion is Associated with Ischemia After Intracerebral Hemorrhage. Neurocritical Care. 40(3). 996–1005. 8 indexed citations
6.
Kwon, Soon Bin, et al.. (2023). Heart rate and heart rate variability as a prognosticating feature for functional outcome after cardiac arrest: A scoping review. Resuscitation Plus. 15. 100450–100450. 1 indexed citations
7.
Megjhani, Murad, Soon Bin Kwon, Ángela Velázquez, et al.. (2023). Automatic identification of intracranial pressure waveform during external ventricular drainage clamping: segmentation via wavelet analysis. Physiological Measurement. 44(6). 64002–64002. 1 indexed citations
8.
Ku, Yunseo, et al.. (2022). Machine Learning Models for Predicting the Occurrence of Respiratory Diseases Using Climatic and Air-Pollution Factors. Clinical and Experimental Otorhinolaryngology. 15(2). 168–176. 13 indexed citations
9.
Rubiños, Clio, Soon Bin Kwon, Murad Megjhani, et al.. (2022). Predicting Shunt Dependency from the Effect of Cerebrospinal Fluid Drainage on Ventricular Size. Neurocritical Care. 37(3). 670–677. 10 indexed citations
10.
Megjhani, Murad, Miriam Weiss, Soon Bin Kwon, et al.. (2022). Vector Angle Analysis of Multimodal Neuromonitoring Data for Continuous Prediction of Delayed Cerebral Ischemia. Neurocritical Care. 37(S2). 230–236. 6 indexed citations
11.
Kwon, Soon Bin, et al.. (2021). RNA-assisted self-assembly of monomeric antigens into virus-like particles as a recombinant vaccine platform. Biomaterials. 269. 120650–120650. 19 indexed citations
12.
Kwon, Soon Bin, Hyuk‐Soo Han, Myung Chul Lee, et al.. (2020). Machine Learning-Based Automatic Classification of Knee Osteoarthritis Severity Using Gait Data and Radiographic Images. IEEE Access. 8. 120597–120603. 42 indexed citations
13.
Kwon, Soon Bin, et al.. (2020). A machine learning-based diagnostic model associated with knee osteoarthritis severity. Scientific Reports. 10(1). 15743–15743. 37 indexed citations
14.
Kwon, Soon Bin, Ahyun Son, Doo Hyun Kim, et al.. (2019). Stabilization of Intrinsically Disordered DKK2 Protein by Fusion to RNA-Binding Domain. International Journal of Molecular Sciences. 20(11). 2847–2847. 4 indexed citations
15.
Kwon, Soon Bin, et al.. (2019). An Energy-Efficient Algorithm for Classification of Fall Types Using a Wearable Sensor. IEEE Access. 7. 31321–31329. 16 indexed citations
16.
Kwon, Soon Bin, Seung Min Lee, Dongheon Lee, et al.. (2019). Estimating Maximal Oxygen Uptake From Daily Activity Data Measured by a Watch-Type Fitness Tracker: Cross-Sectional Study. JMIR mhealth and uhealth. 7(6). e13327–e13327. 16 indexed citations
17.
Kwon, Soon Bin, et al.. (2019). Identifying key gait features associated with the radiological grade of knee osteoarthritis. Osteoarthritis and Cartilage. 27(12). 1755–1760. 26 indexed citations
18.
Lee, Jinhee, Ahyun Son, Paul Kim, et al.. (2018). RNA‐dependent chaperone (chaperna) as an engineered pro‐region for the folding of recombinant microbial transglutaminase. Biotechnology and Bioengineering. 116(3). 490–502. 9 indexed citations
19.
Kwon, Soon Bin, et al.. (2018). Recombinant adenylate kinase 3 from liver fluke Clonorchis sinensis for histochemical analysis and serodiagnosis of clonorchiasis. Parasitology. 145(12). 1531–1539. 7 indexed citations
20.
Kim, Young Seok, Ahyun Son, Jihoon Kim, et al.. (2018). Chaperna-Mediated Assembly of Ferritin-Based Middle East Respiratory Syndrome-Coronavirus Nanoparticles. Frontiers in Immunology. 9. 1093–1093. 82 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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