Min‐Sik Kim

13.5k citations
320 papers · 11.0k · 2 hit papers · h-index 48

Impact in

Papers in

Min‐Sik Kim

305 papers receiving 10.7k citations

Min‐Sik Kim's Hit Papers

C9orf72 nucleotide repeat structures initiate molecular cascades of disease 2014 · 808 citations
8080+4+8Years since publication50010001.5k

Peers

Min‐Sik Kim
Comparison fields: 5 of 141
  • Spectroscopy 1.0k
  • Renewable Energy, Sustainability and the Environment 780
  • Otorhinolaryngology 242
  • Neurology 514
  • Electronic, Optical and Magnetic Materials 474
Replace Hu Zhou with:
Hu Zhou China
Jin Chi Zhang China
Zhe Liu China
Ting Chen China
Si Zhang China
Linhong Deng China
Zhiqiang Gao China
Kyung‐Mi Lee South Korea
Zhen Liu China
Xiaolong Liu China
Min‐Sik Kim relative to Hu Zhou China Hu Zhou's profile →
Citations per field
00.5×5×10×15×18.6×
Hu Zhou · 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 320 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A draft map of the human proteome
Hit paper breakdown →
20141800
2
C9orf72 nucleotide repeat structures initiate molecular cascades of disease
Hit paper breakdown →
2014808
3 2012390
4 2009287
5 2013249
6 2014224
7 2005210
8 2018158
9 2020148
10 2004146
11 2013127
12 2010118
13 2015117
14 2016111
15 2012110
16 2010103
17 2018100
18 201497
19 201296
20 201891

About Min‐Sik Kim

Min‐Sik Kim is a scholar working on Spectroscopy, Hardware and Architecture, Otorhinolaryngology, Computer Networks and Communications and Renewable Energy, Sustainability and the Environment, having authored 320 papers that have together received 11.0k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (28 papers), Network Packet Processing and Optimization (19 papers), Head and Neck Cancer Studies (17 papers), Graphene research and applications (8 papers), Supercapacitor Materials and Fabrication (6 papers), Network Traffic and Congestion Control (6 papers), Electrocatalysts for Energy Conversion (6 papers) and Network Security and Intrusion Detection (6 papers). The work is most often cited by research in Spectroscopy (1.0k citations), Renewable Energy, Sustainability and the Environment (780 citations), Otorhinolaryngology (242 citations), Neurology (514 citations) and Electronic, Optical and Magnetic Materials (474 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, Nitin Kaduba Chaudhari, Dhrubajyoti Bhattacharjya, Na Young Jeong, Junyang Jung, Jun Zhong, Patrick G. Shaw and Jiou Wang. Their work appears in journals such as PROTEOMICS, Molecular & Cellular Proteomics, Journal of Proteome Research, 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.

Explore authors with similar magnitude of impact