Min‐Chul Park

173 papers receiving 3.0k citations

Min‐Chul Park's Hit Papers

Leucyl-tRNA Synthetase Is an Intracellular Leucine Sensor for the mTORC1-Signaling Pathway 2012 · 656 citations
6560+4+9Years since publication200400600

Peers

Min‐Chul Park
Comparison fields: 5 of 152
  • Media Technology 296
  • Human-Computer Interaction 174
  • Acoustics and Ultrasonics 16
  • Molecular Biology 1.2k
  • Materials Chemistry 590
Replace Euisik Yoon with:
Euisik Yoon United States
Chao Ping Chen China
James N. Turner United States
Hiroshi Kikuchi Japan
Wenhui Wang China
Yajing Shen China
Xinyu Liu Canada
Junfeng Huang China
Jeong‐Bong Lee United States
Marina Marjanović United States
Min‐Chul Park relative to Euisik Yoon United States Euisik Yoon's profile →
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Citations per year

Countries citing papers authored by Min‐Chul Park

Since Specialization
Citations

This map shows the geographic impact of Min‐Chul Park'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‐Chul Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min‐Chul Park more than expected).

Fields of papers citing papers by Min‐Chul Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min‐Chul Park. 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‐Chul Park. The network helps show where Min‐Chul Park may publish in the future.

Co-authors

The 25 scholars most cited alongside Min‐Chul Park, 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‐Chul Park Line = papers co-authored together Min‐Chul Park links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 206 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Leucyl-tRNA Synthetase Is an Intracellular Leucine Sensor for the mTORC1-Signaling Pathway
Hit paper breakdown →
2012656
2 2016156
3 2017108
4 2012105
5 199598
6 202191
7 201279
8 200376
9 201774
10 202072
11 201771
12 200967
13 201853
14 201948
15 202047
16 200544
17
Characterization and transcriptional expression of the alpha-expansin gene family in rice.
200543
18 201740
19 202038
20 201237

About Min‐Chul Park

Min‐Chul Park is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Molecular Biology, Electrical and Electronic Engineering and Human-Computer Interaction, having authored 206 papers that have together received 3.2k indexed citations. Recurring topics across this work include Advanced Optical Imaging Technologies (54 papers), Virtual Reality Applications and Impacts (17 papers), Digital Holography and Microscopy (17 papers), Visual perception and processing mechanisms (16 papers), Advanced Vision and Imaging (14 papers), Image and Video Quality Assessment (8 papers), RNA modifications and cancer (8 papers) and RNA and protein synthesis mechanisms (8 papers). The work is most often cited by research in Media Technology (296 citations), Human-Computer Interaction (174 citations), Acoustics and Ultrasonics (16 citations), Molecular Biology (1.2k citations) and Materials Chemistry (590 citations). Min‐Chul Park has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Sung‐Hoon Kim, Jung Min Han, Nam Hoon Kwon, Seung Jae Jeong, Gyuyoup Kim, Sung Ho Ryu, Sang Hoon Ha, Sungchul Mun, Do Kyung Hwang and Jongtae Ahn. Their work appears in journals such as Optical Engineering, Journal of Display Technology, Scientific Reports, ACS Nano and Advanced Materials.

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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