Ji‐Won Song

713 total citations
19 papers, 615 citations indexed

About

Ji‐Won Song is a scholar working on Molecular Biology, Biomedical Engineering and Food Science. According to data from OpenAlex, Ji‐Won Song has authored 19 papers receiving a total of 615 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Biomedical Engineering and 4 papers in Food Science. Recurrent topics in Ji‐Won Song's work include Microbial Metabolic Engineering and Bioproduction (8 papers), Enzyme Catalysis and Immobilization (8 papers) and Biofuel production and bioconversion (5 papers). Ji‐Won Song is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (8 papers), Enzyme Catalysis and Immobilization (8 papers) and Biofuel production and bioconversion (5 papers). Ji‐Won Song collaborates with scholars based in South Korea, Germany and Switzerland. Ji‐Won Song's co-authors include Jin‐Byung Park, Uwe T. Bornscheuer, Deok‐Kun Oh, Hyun‐Young Jang, Da‐Hyun Song, Ji-Min Woo, A. Ravi Kumar, Hye‐Jin Jo, Jiwon Kim and Lars M. Blank and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Ji‐Won Song

19 papers receiving 611 citations

Peers

Ji‐Won Song
Comparison fields: 5 of 70
  • Molecular Biology 499
  • Biomedical Engineering 189
  • Biomaterials 64
  • Biochemistry 61
  • Renewable Energy, Sustainability and the Environment 46
Replace Florence Bordes with:
Florence Bordes France
Zhenlin Han United States
Stephen Picataggio United States
Young‐Chul Joo South Korea
D. K. Bhattacharyya India
Zhiyong Cui China
Ali Kademi France
Heng Li China
Cao Zhu-an China
Florence Bordes France View profile →
Citations per field, relative to Ji‐Won Song
Ji‐Won Song · 1×
Citations per year, relative to Ji‐Won Song
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Countries citing papers authored by Ji‐Won Song

Since Specialization
Citations

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

Fields of papers citing papers by Ji‐Won Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ji‐Won Song. 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 Ji‐Won Song. The network helps show where Ji‐Won Song may publish in the future.

Co-authorship network of co-authors of Ji‐Won Song

This figure shows the co-authorship network connecting the top 25 collaborators of Ji‐Won Song. A scholar is included among the top collaborators of Ji‐Won Song 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 Ji‐Won Song. Ji‐Won Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
# Work Indexed citations
1 1
2 3
3 3
4 5
5 4
6 22
7 14
8 25
9 14
10 37
11 11
12 29
13 16
14 56
15 21
16 19
17 107
18 185
19 43

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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2026