Sun‐Mi Lee

6.8k citations
199 papers · 5.3k · h-index 41

Impact in

Papers in

    • Microbial Metabolic Engineering and Bioproduction 54
    • Enzyme Catalysis and Immobilization 25
    • Fungal and yeast genetics research 7
    • Biofuel production and bioconversion 52

Sun‐Mi Lee

194 papers receiving 5.2k citations

Peers

Sun‐Mi Lee
Comparison fields: 5 of 160
  • Biomaterials 539
  • Biomedical Engineering 1.8k
  • Molecular Biology 2.6k
  • Biotechnology 268
  • Pollution 353
Replace Hanjie Ying with:
Hanjie Ying China
Jian Chen China
Ashok Kumar India
He Huang China
Yun‐Gon Kim South Korea
Mo Xian China
Haibo Zhang China
Vikas Pruthi India
Fei Wang China
I‐Son Ng Taiwan
Sun‐Mi Lee relative to Hanjie Ying China Hanjie Ying's profile →
Citations per field
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Hanjie Ying · 1×
Citations per year

Countries citing papers authored by Sun‐Mi Lee

Since Specialization
Citations

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

Fields of papers citing papers by Sun‐Mi Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sun‐Mi Lee. 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 Sun‐Mi Lee. The network helps show where Sun‐Mi Lee may publish in the future.

Co-authors

The 25 scholars most cited alongside Sun‐Mi Lee, 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 Sun‐Mi Lee Line = papers co-authored together Sun‐Mi Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 199 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004313
2 2007145
3 2008132
4 2020129
5 2010124
6 2012120
7 2009114
8 2017106
9 2020106
10 2014103
11 201494
12 200292
13 201685
14 202075
15 202168
16 200666
17 202164
18 201063
19 202059
20 201759

About Sun‐Mi Lee

Sun‐Mi Lee is a scholar working on Molecular Biology, Biomedical Engineering, Plant Science, Surgery and Biomaterials, having authored 199 papers that have together received 5.3k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (54 papers), Biofuel production and bioconversion (52 papers), Enzyme Catalysis and Immobilization (25 papers), biodegradable polymer synthesis and properties (18 papers), Enzyme Production and Characterization (10 papers), Helicobacter pylori-related gastroenterology studies (10 papers), Food Quality and Safety Studies (8 papers) and Fungal and yeast genetics research (7 papers). The work is most often cited by research in Biomaterials (539 citations), Biomedical Engineering (1.8k citations), Molecular Biology (2.6k citations), Biotechnology (268 citations) and Pollution (353 citations). Sun‐Mi Lee has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Youngsoon Um, Ja Kyong Ko, Hal S. Alper, Han Min Woo, Gyeongtaek Gong, Yung‐Hun Yang, Shashi Kant Bhatia, Ranjit Gurav, Sue Goo Rhee and Sunjoo Park. Their work appears in journals such as Bioresource Technology, International Journal of Biological Macromolecules, Biotechnology for Biofuels, Applied Microbiology and Biotechnology and Journal of Biotechnology.

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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