Jin Won Park

59 papers receiving 1.1k citations

Peers

Jin Won Park
Comparison fields: 5 of 127
  • Geriatrics and Gerontology 73
  • Molecular Medicine 55
  • Cancer Research 114
  • Biomaterials 101
  • Biotechnology 50
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Stephen Lin United States
Abolfazl Golestani Iran
Viviana De Italy
Ying Tang China
Prashant Deshmukh India
Zhenlu Li China
Majid Nejati Iran
Jiayuan Kou China
Yusuke Ozawa Japan
Vijaykumar Sutariya United States
Jin Won Park relative to Stephen Lin United States Stephen Lin's profile →
Citations per field
00.5×2.7×
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Citations per year

Countries citing papers authored by Jin Won Park

Since Specialization
Citations

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

Fields of papers citing papers by Jin Won Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992123
2 2013105
3 2014100
4 200175
5 201273
6 201468
7 200452
8 201449
9 200238
10 202028
11 201626
12 201526
13 201925
14 201422
15 199220
16 201317
17 199516
18 201716
19 200916
20 200115

About Jin Won Park

Jin Won Park is a scholar working on Electrical and Electronic Engineering, Molecular Biology, Atomic and Molecular Physics, and Optics, Biomedical Engineering and Materials Chemistry, having authored 63 papers that have together received 1.1k indexed citations. Recurring topics across this work include Semiconductor materials and devices (16 papers), Semiconductor materials and interfaces (13 papers), Enzyme Production and Characterization (7 papers), Biofuel production and bioconversion (7 papers), Cancer, Hypoxia, and Metabolism (7 papers), Enzyme Catalysis and Immobilization (5 papers), Silicon and Solar Cell Technologies (4 papers) and Advancements in Semiconductor Devices and Circuit Design (4 papers). The work is most often cited by research in Geriatrics and Gerontology (73 citations), Molecular Medicine (55 citations), Cancer Research (114 citations), Biomaterials (101 citations) and Biotechnology (50 citations). Jin Won Park has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Kyung-Han Lee, Kyung‐Ho Jung, Jin Hee Lee, Cung Hoa Thien Quach, Seung Hwan Moon, Toshio Kajiuchi, Takashi Akehata, Jin-Young Paik, Young Seok Cho and Dae-Gyu Park. Their work appears in journals such as Journal of The Electrochemical Society, JOURNAL OF CHEMICAL ENGINEERING OF JAPAN, Journal of Nuclear Medicine, Journal of Industrial and Engineering Chemistry and Japanese Journal of Applied Physics.

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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