Jin Hwan Park

6.6k citations
87 papers · 4.8k indexed · 2 hit papers · h-index 31

Jin Hwan Park

84 papers receiving 4.7k citations

Hit Papers

Metabolic engineering of Escherichia coli using synthetic...5052008202620142020250500750

Peers

Jin Hwan Park
Comparison fields: 5 of 135
  • Endocrinology 269
  • Molecular Biology 3.6k
  • Biomedical Engineering 2.0k
  • Biotechnology 259
  • Biochemistry 194
Replace Sheng Yang with:
Sheng Yang China
Sang Woo Seo South Korea
Min‐Kyu Oh South Korea
Jufang Wang China
Gyoo Yeol Jung South Korea
Jibin Sun China
Yu Jiang China
Pilar Dı́az Spain
Bong Hyun Sung South Korea
Xiaofeng Li China
Jin Hwan Park relative to Sheng Yang China Sheng Yang's profile →
Citations per field
00.5×1.5×
Sheng Yang · 1×
Citations per year

Countries citing papers authored by Jin Hwan Park

Since Specialization
Citations

This map shows the geographic impact of Jin Hwan 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 Hwan 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 Hwan Park more than expected).

Fields of papers citing papers by Jin Hwan Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20256
2 20250
3 20251
4 202213
5 202216
6 20209
7 201965
8 20183
9 20185
10 201757
11 20162
12 201220
13 201290
14 201077
15 200898
16
Fermentative butanol production by clostridiabreakdown →
2008779
17 2007443
18
Effect of Surface Contaminants Remained on the Blasted Surface on Epoxy Coating Performance and Corrosion Resistance
20061
19
An Efficient Hardware Algorithm for Parallel Prefix Computation with Resource Constraints.
20001
20
Characterization of the Replication Region of the Enterococcus faecalis Plasmid p703/5
19993

About Jin Hwan Park

Jin Hwan Park is a scholar working on Endocrinology, Hardware and Architecture and Polymers and Plastics, having authored 87 papers that have together received 4.8k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (25 papers), Biofuel production and bioconversion (21 papers), Vibrio bacteria research studies (13 papers), Bacterial biofilms and quorum sensing (10 papers), Enzyme Catalysis and Immobilization (9 papers), Aquaculture disease management and microbiota (8 papers), Bacterial Genetics and Biotechnology (8 papers) and Parallel Computing and Optimization Techniques (6 papers). The work is most often cited by research in Endocrinology (269 citations), Molecular Biology (3.6k citations) and Biomedical Engineering (2.0k citations). Jin Hwan Park has collaborated with scholars based in South Korea, United States and Australia. Frequent co-authors include Sang Yup Lee, Tae Yong Kim, Kwang Ho Lee, Lars K. Nielsen, Hyun Uk Kim, Jae Hyun Kim, Kwang S. Jung, Seh Hee Jang, Dokyun Na and Hannah Chung. Their work appears in journals such as Biotechnology and Bioengineering, mBio, Optics Express, Scientific Reports and Journal of Industrial and Engineering Chemistry.

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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