Soo Jin Kwon
- Molecular Biology
- Clinical Psychology top 10%
- Cognitive Neuroscience top 10%
- Experimental and Cognitive Psychology top 10%
- Pharmacology top 10%
- Co-authors
- Min Soo ByunDo‐Hyung KangJoon Hwan JangJun Soo KwonWi Hoon JungChi‐Hoon ChoiKanghwa KimJin Sook Jeong
- Topics
- Medical Imaging Techniques and Applications (5 papers)Radiomics and Machine Learning in Medical Imaging (3 papers)Mindfulness and Compassion Interventions (3 papers)
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Soo Jin Kwon
18 papers receiving 570 citations
Peers
Comparison fields: 5 of 92
- Molecular Biology 185
- Clinical Psychology 169
- Cognitive Neuroscience 137
- Experimental and Cognitive Psychology 110
- Pharmacology 75
Countries citing papers authored by Soo Jin Kwon
This map shows the geographic impact of Soo Jin 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 Soo Jin Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Soo Jin Kwon more than expected).
Fields of papers citing papers by Soo Jin Kwon
This network shows the impact of papers produced by Soo Jin 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 Soo Jin Kwon. The network helps show where Soo Jin Kwon may publish in the future.
Co-authorship network of co-authors of Soo Jin Kwon
This figure shows the co-authorship network connecting the top 25 collaborators of Soo Jin Kwon. A scholar is included among the top collaborators of Soo Jin 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 Soo Jin Kwon. Soo Jin Kwon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 18 | |
| 8 | 14 | |
| 9 | 32 | |
| 10 | 40 | |
| 11 | 39 | |
| 12 | 29 | |
| 13 | 52 | |
| 14 | 194 | |
| 15 | 30 | |
| 16 | 99 | |
| 17 | Screening and Characterization of Osmotolerant and Gas-Producing Yeasts from Traditional Doenjang and Kochujang | 28 |
| 18 | Inhibition of metal-catalyzed oxidation systems by a yeast protector protein in the presence of thiol. | 9 |
About Soo Jin Kwon
Soo Jin Kwon is a scholar working on Pharmacology, Toxicology and Radiology, Nuclear Medicine and Imaging, having authored 18 papers that have together received 597 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Mindfulness and Compassion Interventions (3 papers). The work is most often cited by research in Pharmacology (75 citations), Experimental and Cognitive Psychology (110 citations) and Clinical Psychology (169 citations). Soo Jin Kwon has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Min Soo Byun, Do‐Hyung Kang, Joon Hwan Jang, Jun Soo Kwon, Wi Hoon Jung, Chi‐Hoon Choi, Kanghwa Kim, Jin Sook Jeong, Sue Goo Rhee and Sang Won Kang. Their work appears in journals such as Biochemistry, Scientific Reports and International Journal of Molecular Sciences.
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.