Min‐Sik Kim
Impact in
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- Electrocatalysts for Energy Conversion
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- Supercapacitor Materials and Fabrication
Papers in
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- Microbial metabolism and enzyme function 12
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- Network Security and Intrusion Detection 26
- Co-authors
- Jong‐Sung Yu (23 shared papers)Akhilesh Pandey (42 shared papers)Baizeng Fang (11 shared papers)Jung Ho Kim (12 shared papers)Nitin K. Chaudhari (5 shared papers)Dhrubajyoti Bhattacharjya (3 shared papers)Tae‐Sung Bae (6 shared papers)Junyang Jung (6 shared papers)
- Journals
- PROTEOMICS (14 papers)Journal of Proteome Research (7 papers)Molecular & Cellular Proteomics (6 papers)Scientific Reports (6 papers)Bioresource Technology (5 papers)
- Partner nations
- South KoreaUnited StatesIndia
In The Last Decade
Min‐Sik Kim
289 papers receiving 8.3k citations
Min‐Sik Kim's Hit Papers
Peers
Comparison fields: 5 of 179
- Renewable Energy, Sustainability and the Environment 1.2k
- Electronic, Optical and Magnetic Materials 1.1k
- Otorhinolaryngology 261
- Molecular Biology 2.9k
- Biochemistry 272
Countries citing papers authored by Min‐Sik Kim
This map shows the geographic impact of Min‐Sik 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 Min‐Sik Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min‐Sik Kim more than expected).
Fields of papers citing papers by Min‐Sik Kim
This network shows the impact of papers produced by Min‐Sik 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 Min‐Sik Kim. The network helps show where Min‐Sik Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Min‐Sik 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
Showing the 20 most-cited of 309 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | C9orf72 nucleotide repeat structures initiate molecular cascades of disease Hit paper breakdown → | 2014 | 730 |
| 2 | 2012 | 373 | |
| 3 | 2009 | 283 | |
| 4 | 2013 | 241 | |
| 5 | 2014 | 205 | |
| 6 | 2005 | 198 | |
| 7 | 2018 | 149 | |
| 8 | 2004 | 144 | |
| 9 | 2020 | 132 | |
| 10 | 2013 | 124 | |
| 11 | 2010 | 115 | |
| 12 | 2017 | 112 | |
| 13 | 2012 | 110 | |
| 14 | 2016 | 108 | |
| 15 | 2015 | 106 | |
| 16 | 2010 | 102 | |
| 17 | 2018 | 94 | |
| 18 | 2014 | 92 | |
| 19 | 2012 | 86 | |
| 20 | 2018 | 84 |
About Min‐Sik Kim
Min‐Sik Kim is a scholar working on Molecular Biology, Computer Networks and Communications, Materials Chemistry, Artificial Intelligence and Electrical and Electronic Engineering, having authored 309 papers that have together received 8.4k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (26 papers), Advanced Proteomics Techniques and Applications (25 papers), Network Packet Processing and Optimization (23 papers), Internet Traffic Analysis and Secure E-voting (22 papers), Head and Neck Cancer Studies (18 papers), Mass Spectrometry Techniques and Applications (17 papers), Supercapacitor Materials and Fabrication (15 papers) and Microbial metabolism and enzyme function (12 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (1.2k citations), Electronic, Optical and Magnetic Materials (1.1k citations), Otorhinolaryngology (261 citations), Molecular Biology (2.9k citations) and Biochemistry (272 citations). Min‐Sik Kim has collaborated with scholars based in South Korea, United States and India. Frequent co-authors include Jong‐Sung Yu, Akhilesh Pandey, Baizeng Fang, Jung Ho Kim, Nitin K. Chaudhari, Dhrubajyoti Bhattacharjya, Tae‐Sung Bae, Junyang Jung, Na Young Jeong and Jun Zhong. Their work appears in journals such as PROTEOMICS, Journal of Proteome Research, Molecular & Cellular Proteomics, Scientific Reports and Bioresource Technology.
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.