Soo-Yong Shin

2.7k total citations
96 papers, 1.6k citations indexed

About

Soo-Yong Shin is a scholar working on Molecular Biology, Artificial Intelligence and Health Information Management. According to data from OpenAlex, Soo-Yong Shin has authored 96 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 18 papers in Artificial Intelligence and 16 papers in Health Information Management. Recurrent topics in Soo-Yong Shin's work include Mobile Health and mHealth Applications (11 papers), Electronic Health Records Systems (9 papers) and Gene expression and cancer classification (8 papers). Soo-Yong Shin is often cited by papers focused on Mobile Health and mHealth Applications (11 papers), Electronic Health Records Systems (9 papers) and Gene expression and cancer classification (8 papers). Soo-Yong Shin collaborates with scholars based in South Korea, United States and Australia. Soo-Yong Shin's 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 and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Soo-Yong Shin

94 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Soo-Yong Shin South Korea	23	400	265	264	242	133	96	1.6k
Karthik Natarajan United States	19	224 0.6×	319 1.2×	284 1.1×	213 0.9×	45 0.3×	74	1.5k
Vida Abedi United States	25	295 0.7×	617 2.3×	239 0.9×	142 0.6×	84 0.6×	111	2.3k
Eric B. Laber United States	28	205 0.5×	132 0.5×	394 1.5×	131 0.5×	44 0.3×	90	2.9k
W. Nicholson Price United States	15	360 0.9×	85 0.3×	456 1.7×	159 0.7×	85 0.6×	50	2.1k
Eiji Aramaki Japan	19	306 0.8×	274 1.0×	694 2.6×	226 0.9×	278 2.1×	153	1.6k
Thomas Jaki United Kingdom	29	243 0.6×	186 0.7×	207 0.8×	130 0.5×	73 0.5×	173	2.8k
Hee Hwang South Korea	30	465 1.2×	324 1.2×	183 0.7×	512 2.1×	84 0.6×	202	3.8k
Zubair Shah Qatar	24	197 0.5×	364 1.4×	593 2.2×	92 0.4×	519 3.9×	108	2.9k
Vasa Ćurčin United Kingdom	29	441 1.1×	591 2.2×	496 1.9×	438 1.8×	95 0.7×	140	3.0k
Jane Snowdon United States	14	158 0.4×	65 0.2×	269 1.0×	221 0.9×	38 0.3×	38	1.7k

Countries citing papers authored by Soo-Yong Shin

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Yoo, Junsang, Soo-Yong Shin, Patricia C. Dykes, et al.. (2024). The potential for drug incompatibility and its drivers − A hospital wide retrospective descriptive study. International Journal of Medical Informatics. 191. 105584–105584.

Choi, Geunho, Won Chul, Se Uk Lee, & Soo-Yong Shin. (2024). Survey of Medical Applications of Federated Learning. Healthcare Informatics Research. 30(1). 3–15. 9 indexed citations

Lee, Ho‐Young, et al.. (2024). Current Health Data Standardization Project and Future Directions to Ensure Interoperability in Korea. Healthcare Informatics Research. 30(2). 93–102. 1 indexed citations

Shin, Soo-Yong, et al.. (2024). Synthesis and quality assessment of combined time-series and static medical data using a real-world time-series generative adversarial network. Scientific Reports. 14(1). 19064–19064. 1 indexed citations

Park, Hayoung, et al.. (2024). Lowering Barriers to Health Risk Assessments in Promoting Personalized Health Management. Journal of Personalized Medicine. 14(3). 316–316. 4 indexed citations

Kang, Dong Yoon, Hyunah Kim, Min‐Gyu Kang, et al.. (2022). Sodium-Glucose Cotransporter-2 Inhibitor-Related Diabetic Ketoacidosis: Accuracy Verification of Operational Definition. Journal of Korean Medical Science. 37(7). 2 indexed citations

Ahn, Jin Seok, et al.. (2022). Development and Validation of Digital Health Technology Literacy Assessment Questionnaire. Journal of Medical Systems. 46(2). 13–13. 31 indexed citations

Lee, Yeong Chan, et al.. (2022). Stakeholders’ Requirements for Artificial Intelligence for Healthcare in Korea. Healthcare Informatics Research. 28(2). 143–151. 3 indexed citations

Kim, Hana, Hyo Jung Kim, Hong-Sik Kim, et al.. (2021). Real-World Data from a Refractory Triple-Negative Breast Cancer Cohort Selected Using a Clinical Data Warehouse Approach. Cancers. 13(22). 5835–5835. 9 indexed citations

10.

Lee, Yeon-Su, Yeon-Su Lee, Xiaoyong Bao, et al.. (2021). Nc886, a Novel Suppressor of the Type I Interferon Response Upon Pathogen Intrusion. International Journal of Molecular Sciences. 22(4). 2003–2003. 18 indexed citations

11.

Kang, Minwoong, Sang Won Seo, Juhee Cho, et al.. (2021). Developing a Dementia Platform Databank Using Multiple Existing Cohorts. Yonsei Medical Journal. 62(11). 1062–1062. 1 indexed citations

12.

Shin, Soo-Yong, et al.. (2020). Next-Generation Sequencing–Based Cancer Panel Data Conversion Using International Standards to Implement a Clinical Next-Generation Sequencing Research System: Single-Institution Study. JMIR Medical Informatics. 8(4). e14710–e14710. 2 indexed citations

13.

Ryu, Borim, Soo-Yong Shin, Rong‐Min Baek, et al.. (2020). Clinical Genomic Sequencing Reports in Electronic Health Record Systems Based on International Standards: Implementation Study. Journal of Medical Internet Research. 22(8). e15040–e15040. 8 indexed citations

14.

Kim, Mina, Soo-Yong Shin, Mira Kang, Byoung-Kee Yi, & Dong Kyung Chang. (2019). Developing a Standardization Algorithm for Categorical Laboratory Tests for Clinical Big Data Research: Retrospective Study. JMIR Medical Informatics. 7(3). e14083–e14083. 10 indexed citations

15.

Seo, Dong‐Woo & Soo-Yong Shin. (2017). Methods Using Social Media and Search Queries to Predict Infectious Disease Outbreaks. Healthcare Informatics Research. 23(4). 343–343. 24 indexed citations

16.

Lim, Sanghee, Yul Ha Min, Yong‐Wook Shin, et al.. (2016). Depression Screening Using Daily Mental-Health Ratings from a Smartphone Application for Breast Cancer Patients. Journal of Medical Internet Research. 18(8). e216–e216. 63 indexed citations

17.

Shin, Soo-Yong, et al.. (2015). Can Korea Provide a Pollution Haven for China? : A Theoretical Approach to Identify the Pollution Haven Hypothesis. Journal of Korea Trade. 19(1). 85–106. 2 indexed citations

18.

Shin, Soo-Yong, et al.. (2013). De-Identification Method for Bilingual EMR Free Texts.. AMIA. 1 indexed citations

19.

Shin, Soo-Yong & Jae‐Ho Lee. (2013). Mobile Health: A New Breakthrough for u-Health. 23(3). 288–296. 2 indexed citations

20.

Lee, In‐Hee, Soo-Yong Shin, Youngmin Cho, Kyung-Ae Yang, & Byoung‐Tak Zhang. (2008). Microarray Probe Design with Multiobjective Evolutionary Algorithm. Jeongbo gwahaghoe nonmunji. so'peuteuweeo mich eung'yong. 35(8). 501–511. 1 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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