Soon Cheol Park

1.3k citations
69 papers · 919 indexed · h-index 17
Topics
Text and Document Classification Technologies (11 papers)Invertebrate Immune Response Mechanisms (9 papers)Marine Ecology and Invasive Species (9 papers)

In The Last Decade

Soon Cheol Park

67 papers receiving 883 citations

Peers

Soon Cheol Park
Comparison fields: 5 of 147
  • Molecular Biology 303
  • Artificial Intelligence 288
  • Information Systems 103
  • Immunology 75
  • Computer Vision and Pattern Recognition 66
Replace Juntao Li with:
Juntao Li China
Guoqiang Wu China
Lan Yi United States
Xuewen Chen United States
Sungchan Kim South Korea
Jianhua Xuan United States
Tomohiro Yoshikawa Japan
Simon Twigger United States
Venkata Satagopam Luxembourg
Soon Cheol Park relative to Juntao Li China Juntao Li's profile →
Citations per field
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Citations per year

Countries citing papers authored by Soon Cheol Park

Since Specialization
Citations

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

Fields of papers citing papers by Soon Cheol Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Soon Cheol 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 Soon Cheol Park. The network helps show where Soon Cheol Park may publish in the future.

Co-authorship network of co-authors of Soon Cheol Park

This figure shows the co-authorship network connecting the top 25 collaborators of Soon Cheol Park. A scholar is included among the top collaborators of Soon Cheol Park based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Soon Cheol Park. Soon Cheol Park is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 3
3 1
4 4
5 1
6 6
7 7
8 3
9 12
10 24
11 16
12 57
13 1
14 3
15 16
16 11
17 89
18 47
19
Development of Transdermal Drug Delivery System for the Combination of Physostigmine and Procyclidine
2
20 9

About Soon Cheol Park

Soon Cheol Park is a scholar working on Paleontology, Immunology and Artificial Intelligence, having authored 69 papers that have together received 919 indexed citations. Recurring topics across this work include Text and Document Classification Technologies (11 papers), Invertebrate Immune Response Mechanisms (9 papers) and Marine Ecology and Invasive Species (9 papers). The work is most often cited by research in Artificial Intelligence (288 citations), Developmental Neuroscience (23 citations) and Aging (9 citations). Soon Cheol Park has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Wei Song, Sung–Jin Cho, Kyung Yong Kim, Won Bok Lee, Sung Soo Kim, Jae‐Hyung Bach, Wei Song, Ki‐Seok Koh, Hyun Jung Lee and Zhiyong Xiao. Their work appears in journals such as Scientific Reports, Biochemical and Biophysical Research Communications and FEBS Letters.

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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