Won Cheol Shin

773 total citations
22 papers, 661 citations indexed

About

Won Cheol Shin is a scholar working on Molecular Biology, Pharmacology and Plant Science. According to data from OpenAlex, Won Cheol Shin has authored 22 papers receiving a total of 661 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Pharmacology and 6 papers in Plant Science. Recurrent topics in Won Cheol Shin's work include Polysaccharides and Plant Cell Walls (6 papers), Fungal Biology and Applications (6 papers) and Biofuel production and bioconversion (3 papers). Won Cheol Shin is often cited by papers focused on Polysaccharides and Plant Cell Walls (6 papers), Fungal Biology and Applications (6 papers) and Biofuel production and bioconversion (3 papers). Won Cheol Shin collaborates with scholars based in South Korea, Ethiopia and Nepal. Won Cheol Shin's co-authors include Eock Kee Hong, Jong Seok Lee, Jae Youl Cho, Man Hee Rhee, Seung Hee Kim, Hae Sung Lee, Shin Young Lee, Tae‐Gyun Kim, Ki Kyung Jung and Sungyoul Hong and has published in prestigious journals such as Carbohydrate Polymers, Fuel and Life Sciences.

In The Last Decade

Won Cheol Shin

22 papers receiving 640 citations

Peers

Won Cheol Shin
Comparison fields: 5 of 104
  • Pharmacology 212
  • Molecular Biology 201
  • Plant Science 195
  • Food Science 108
  • Aquatic Science 73
Replace Lê Mai Hương with:
Lê Mai Hương Vietnam
Jia‐Jiuan Wu Taiwan
Tae‐Su Kim South Korea
Anjun Liu China
Yonglu Li China
Xiuping Li China
Meilian Yang China
Kaushik Ghosh India
Xiangdong Gao China
Lê Mai Hương Vietnam View profile →
Citations per field, relative to Won Cheol Shin
Won Cheol Shin · 1×
Citations per year, relative to Won Cheol Shin
Won Cheol Shin · 1×

Countries citing papers authored by Won Cheol Shin

Since Specialization
Citations

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

Fields of papers citing papers by Won Cheol Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Won Cheol Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Won Cheol Shin. A scholar is included among the top collaborators of Won Cheol Shin 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 Won Cheol Shin. Won Cheol Shin 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
# Work Indexed citations
1 1
2 1
3 9
4 31
5 41
6 10
7 7
8 20
9 6
10 58
11
A modulatory effect of novel kojic acid derivatives on cancer cell proliferation and macrophage activation.
26
12 75
13 50
14
Development of Cryopreserved Red Blood Cell Panels for Verifying ABO and D Blood Grouping Reagents
2
15 28
16 32
17 40
18
Identifications of Predominant Bacterial Isolates from the Fermenting Kimchi Using ITS-PCR and Partial 16S rDNA Sequence Analyses
29
19 142
20 28

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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