Min‐Sik Kim

310 papers receiving 10.7k citations

Min‐Sik Kim's Hit Papers

C9orf72 nucleotide repeat structures initiate molecular cascades of disease 2014 · 798 citations
7980+4+8Years since publication50010001.5k

Peers

Min‐Sik Kim
Comparison fields: 5 of 188
  • Renewable Energy, Sustainability and the Environment 1.3k
  • Spectroscopy 1.1k
  • Molecular Biology 4.3k
  • Otorhinolaryngology 242
  • Electronic, Optical and Magnetic Materials 1.1k
Replace Zhiqiang Gao with:
Zhiqiang Gao China
Hak Soo Choi United States
Zhenhua Li China
Pengfei Zhang China
Dong Hoon Lee South Korea
Qiang Yu China
Haixia Wang China
Ke Liu China
Huilin Li United States
Si Zhang China
Min‐Sik Kim relative to Zhiqiang Gao China Zhiqiang Gao's profile →
Citations per field
00.5×1.5×2.2×
Zhiqiang Gao · 1×
Citations per year

Countries citing papers authored by Min‐Sik Kim

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Min‐Sik Kim Line = papers co-authored together Min‐Sik Kim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 326 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A draft map of the human proteome
Hit paper breakdown →
20141788
2
C9orf72 nucleotide repeat structures initiate molecular cascades of disease
Hit paper breakdown →
2014798
3 2012389
4 2009287
5 2013249
6 2014221
7 2005212
8 2018156
9 2004146
10 2020146
11 2013127
12 2010118
13 2015117
14 2012110
15 2016109
16 2010103
17 2018100
18 201496
19 201296
20 201891

About Min‐Sik Kim

Min‐Sik Kim is a scholar working on Hardware and Architecture, Molecular Biology, Computer Networks and Communications, Spectroscopy and Otorhinolaryngology, having authored 326 papers that have together received 10.9k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (29 papers), Network Security and Intrusion Detection (28 papers), Network Packet Processing and Optimization (25 papers), Internet Traffic Analysis and Secure E-voting (23 papers), Mass Spectrometry Techniques and Applications (16 papers), Head and Neck Cancer Studies (15 papers), Supercapacitor Materials and Fabrication (15 papers) and Advancements in Battery Materials (12 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (1.3k citations), Spectroscopy (1.1k citations), Molecular Biology (4.3k citations), Otorhinolaryngology (242 citations) and Electronic, Optical and Magnetic Materials (1.1k 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 Kaduba 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 PROTEOMICS - CLINICAL APPLICATIONS.

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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