Soo-Yong Shin
- Molecular Biology
- Epidemiology top 10%
- Artificial Intelligence top 5%
- General Health Professions top 5%
- Sociology and Political Science top 10%
- Co-authors
- Dong‐Woo SeoJae‐Ho LeeByoung‐Tak ZhangYu Rang ParkTai Hyun ParkJi Youn LeeJae Ho LeeSegyeong Joo
- Topics
- Mobile Health and mHealth Applications (11 papers)Electronic Health Records Systems (9 papers)Gene expression and cancer classification (8 papers)
- Partner nations
- South KoreaUnited StatesAustralia
In The Last Decade
Soo-Yong Shin
94 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 167
- Molecular Biology 400
- Epidemiology 265
- Artificial Intelligence 264
- General Health Professions 242
- Sociology and Political Science 133
Countries citing papers authored by Soo-Yong Shin
This map shows the geographic impact of Soo-Yong Shin'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-Yong Shin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Soo-Yong Shin more than expected).
Fields of papers citing papers by Soo-Yong Shin
This network shows the impact of papers produced by Soo-Yong Shin. 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-Yong Shin. The network helps show where Soo-Yong Shin may publish in the future.
Co-authorship network of co-authors of Soo-Yong Shin
This figure shows the co-authorship network connecting the top 25 collaborators of Soo-Yong Shin. A scholar is included among the top collaborators of Soo-Yong Shin 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-Yong Shin. Soo-Yong Shin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 9 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 31 | |
| 10 | 9 | |
| 11 | 1 | |
| 12 | 18 | |
| 13 | 8 | |
| 14 | 2 | |
| 15 | 24 | |
| 16 | 63 | |
| 17 | Can Korea Provide a Pollution Haven for China? : A Theoretical Approach to Identify the Pollution Haven Hypothesis | 2 |
| 18 | Mobile Health: A New Breakthrough for u-Health | 2 |
| 19 | De-Identification Method for Bilingual EMR Free Texts. | 1 |
| 20 | Microarray Probe Design with Multiobjective Evolutionary Algorithm | 1 |
About Soo-Yong Shin
Soo-Yong Shin is a scholar working on Health Information Management, Health Informatics and Research and Theory, having authored 96 papers that have together received 1.6k indexed citations. Recurring topics across this work include Mobile Health and mHealth Applications (11 papers), Electronic Health Records Systems (9 papers) and Gene expression and cancer classification (8 papers). The work is most often cited by research in Health Informatics (53 citations), Health Information Management (122 citations) and Applied Psychology (104 citations). Soo-Yong Shin has collaborated with scholars based in South Korea, United States and Australia. Frequent co-authors include Dong‐Woo Seo, Jae‐Ho Lee, Byoung‐Tak Zhang, Yu Rang Park, Tai Hyun Park, Ji Youn Lee, Jae Ho Lee, Segyeong Joo, Byoung‐Tak Zhang and Byungtae Lee. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.
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.