Sanguk Kim
- Aging top 0.5%
- Molecular Biology top 2%
- Protein Structure and Dynamics 25
- Bioinformatics and Genomic Networks 17
- RNA and protein synthesis mechanisms 14
- Lipid Membrane Structure and Behavior 8
- Microbial Metabolic Engineering and Bioproduction 7
- Spectroscopy top 2%
-
- Quantum chaos and dynamical systems 13
- Advanced Thermodynamics and Statistical Mechanics 7
- Biophysics top 2%
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- Cold Atom Physics and Bose-Einstein Condensates 6
- Co-authors
- Jae‐Seong YangJames U. BowieTimothy A. CrossSeong Kyu HanDonghyo KimSeung‐Jae LeeFrank KovacsHeetak Lee
- Cited by
- AgingMolecular BiologySpectroscopy
- Partner nations
- South KoreaUnited StatesGermany
In The Last Decade
Sanguk Kim
168 papers receiving 6.9k citations
Hit Papers
Peers
Comparison fields: 5 of 185
- Aging 456
- Molecular Biology 3.9k
- Spectroscopy 541
- Statistical and Nonlinear Physics 395
- Biophysics 152
Countries citing papers authored by Sanguk Kim
This map shows the geographic impact of Sanguk Kim'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 Sanguk Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanguk Kim more than expected).
Fields of papers citing papers by Sanguk Kim
This network shows the impact of papers produced by Sanguk Kim. 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 Sanguk Kim. The network helps show where Sanguk Kim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sanguk Kim, 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 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2020 | 148 | |
| 4 | 2020 | 2 | |
| 5 | 2019 | 2 | |
| 6 | 2016 | 6 | |
| 7 | 2014 | 155 | |
| 8 | Study For the Effectiveness of University's Recruitment Support System | 2013 | 1 |
| 9 | Comment on "Quantum Szilard Engine" Reply | 2013 | 2 |
| 10 | 2012 | 32 | |
| 11 | 2012 | 23 | |
| 12 | 2011 | 39 | |
| 13 | Online Service Quality’s Influence on Performance and Satisfaction | 2010 | 1 |
| 14 | 2005 | 218 | |
| 15 | 2005 | 71 | |
| 16 | Vector Control of Induction Motors using Optimal Efficiency Control | 2002 | 2 |
| 17 | A Subsequence Matching Algorithm Supporting Moving Average Transform of Arbitrary Order in Time-Series Databases | 2000 | 1 |
| 18 | 2000 | 258 | |
| 19 | 3D-QSAR of Angiotensin-Converting Enzyme Inhibitors: Functional Group Interaction Energy Descriptors for Quantitative Structure-Activity Relationships Study of ACE Inhibitors | 1998 | 3 |
| 20 | Articles : Cretaceous Stratigraphy and Sedimentary Rocks of Namhae Area ( Study on Development of Kyongsang Basin I ) | 1989 | 1 |
About Sanguk Kim
Sanguk Kim is a scholar working on Aging, Statistical and Nonlinear Physics and Molecular Biology, having authored 177 papers that have together received 7.0k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (25 papers), Bioinformatics and Genomic Networks (17 papers), RNA and protein synthesis mechanisms (14 papers), Quantum chaos and dynamical systems (13 papers), Lipid Membrane Structure and Behavior (8 papers), Microbial Metabolic Engineering and Bioproduction (7 papers), Advanced Thermodynamics and Statistical Mechanics (7 papers) and Cold Atom Physics and Bose-Einstein Condensates (6 papers). The work is most often cited by research in Aging (456 citations), Molecular Biology (3.9k citations) and Spectroscopy (541 citations). Sanguk Kim has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Jae‐Seong Yang, James U. Bowie, Timothy A. Cross, Seong Kyu Han, Donghyo Kim, Seung‐Jae Lee, Frank Kovacs, Heetak Lee, Aaron K. Chamberlain and Katsuyuki Nishimura.
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.