Sung‐Young Shin
- Molecular Biology top 10%
- PI3K/AKT/mTOR signaling in cancer 7
- Gene Regulatory Network Analysis 7
- Protein Kinase Regulation and GTPase Signaling 6
- Bioinformatics and Genomic Networks 6
- Melanoma and MAPK Pathways 5
- Signaling Pathways in Disease 4
- Radiation top 5%
- Advanced Radiotherapy Techniques 4
- Modeling and Simulation top 5%
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- Computational Drug Discovery Methods 4
- Co-authors
- Kwang‐Hyun ChoWalter KölchOlaf WolkenhauerSang‐Mok ChooLan K. NguyenByoung-Tak ZhangIn‐Hee LeeOliver Rath
- Partner nations
- South KoreaAustraliaUnited States
In The Last Decade
Sung‐Young Shin
52 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 138
- Molecular Biology 960
- Radiation 105
- Modeling and Simulation 44
- Cancer Research 133
- Computational Theory and Mathematics 135
Countries citing papers authored by Sung‐Young Shin
This map shows the geographic impact of Sung‐Young 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 Sung‐Young Shin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sung‐Young Shin more than expected).
Fields of papers citing papers by Sung‐Young Shin
This network shows the impact of papers produced by Sung‐Young 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 Sung‐Young Shin. The network helps show where Sung‐Young Shin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sung‐Young Shin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 11 | |
| 5 | 2021 | 53 | |
| 6 | 2020 | 17 | |
| 7 | 2018 | 24 | |
| 8 | 2016 | 61 | |
| 9 | 2016 | 3 | |
| 10 | 2014 | 26 | |
| 11 | 2012 | 61 | |
| 12 | 2011 | 6 | |
| 13 | 2010 | 121 | |
| 14 | 2010 | 41 | |
| 15 | 2008 | 13 | |
| 16 | 2008 | 13 | |
| 17 | 2004 | 40 | |
| 18 | Simulation Study of the TNF alpha Mediated NF-kappa B Signaling Pathway | 2003 | 1 |
| 19 | 2003 | 68 | |
| 20 | Cooking Properties of Dry Noodles Prepared from HRW-WW and HRW-ASW Wheat Flour Blends | 1993 | 11 |
About Sung‐Young Shin
Sung‐Young Shin is a scholar working on Modeling and Simulation, Molecular Biology and Radiation, having authored 53 papers that have together received 1.5k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (7 papers), Gene Regulatory Network Analysis (7 papers), Protein Kinase Regulation and GTPase Signaling (6 papers), Bioinformatics and Genomic Networks (6 papers), Melanoma and MAPK Pathways (5 papers), Advanced Radiotherapy Techniques (4 papers), Computational Drug Discovery Methods (4 papers) and Signaling Pathways in Disease (4 papers). The work is most often cited by research in Molecular Biology (960 citations), Radiation (105 citations) and Modeling and Simulation (44 citations). Sung‐Young Shin has collaborated with scholars based in South Korea, Australia and United States. Frequent co-authors include Kwang‐Hyun Cho, Walter Kölch, Olaf Wolkenhauer, Sang‐Mok Choo, Lan K. Nguyen, Byoung-Tak Zhang, In‐Hee Lee, Oliver Rath, Dongyung Kim and Frances Fee. Their work appears in journals such as Nucleic Acids Research, Nature Communications and Molecular Cell.
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.