Seulgi Kang
Impact in
- Catalysis top 5%
- Ionic liquids properties and applications
- Filtration and Separation top 5%
Papers in
-
- Microbial Metabolic Engineering and Bioproduction 12
- Genomics and Phylogenetic Studies 4
-
- Biofuel production and bioconversion 9
- Co-authors
- Byung‐Kwan Cho (16 shared papers)Sangrak Jin (15 shared papers)Jiyun Bae (12 shared papers)Jongoh Shin (11 shared papers)Yoseb Song (10 shared papers)Jeongmi Lee (16 shared papers)Minho Shong (11 shared papers)Suhyung Cho (8 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Food Chemistry (3 papers)Metabolic Engineering (2 papers)Chemical Engineering Journal (2 papers)International Journal of Molecular Sciences (2 papers)
- Partner nations
- South KoreaChinaUnited States
In The Last Decade
Seulgi Kang
46 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 120
- Catalysis 156
- Filtration and Separation 32
- Rheumatology 229
- Physiology 288
- Environmental Engineering 155
Countries citing papers authored by Seulgi Kang
This map shows the geographic impact of Seulgi Kang'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 Seulgi Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seulgi Kang more than expected).
Fields of papers citing papers by Seulgi Kang
This network shows the impact of papers produced by Seulgi Kang. 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 Seulgi Kang. The network helps show where Seulgi Kang may publish in the future.
Co-authors
The 25 scholars most cited alongside Seulgi Kang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 125 | |
| 2 | 2020 | 111 | |
| 3 | 2020 | 89 | |
| 4 | 2021 | 81 | |
| 5 | 2019 | 71 | |
| 6 | 2021 | 70 | |
| 7 | 2017 | 61 | |
| 8 | 2021 | 57 | |
| 9 | 2020 | 55 | |
| 10 | 2020 | 52 | |
| 11 | 2019 | 51 | |
| 12 | 2020 | 47 | |
| 13 | 2020 | 42 | |
| 14 | 2021 | 32 | |
| 15 | 2022 | 32 | |
| 16 | 2021 | 32 | |
| 17 | 2022 | 31 | |
| 18 | 2017 | 29 | |
| 19 | 2022 | 29 | |
| 20 | 2019 | 27 |
About Seulgi Kang
Seulgi Kang is a scholar working on Molecular Biology, Biomedical Engineering, Physiology, Catalysis and Rheumatology, having authored 49 papers that have together received 1.4k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (12 papers), Biofuel production and bioconversion (9 papers), Ionic liquids properties and applications (8 papers), Microbial Fuel Cells and Bioremediation (5 papers), GDF15 and Related Biomarkers (5 papers), Genomics and Phylogenetic Studies (4 papers), Adipose Tissue and Metabolism (4 papers) and Nutrition and Health in Aging (4 papers). The work is most often cited by research in Catalysis (156 citations), Filtration and Separation (32 citations), Rheumatology (229 citations), Physiology (288 citations) and Environmental Engineering (155 citations). Seulgi Kang has collaborated with scholars based in South Korea, China and United States. Frequent co-authors include Byung‐Kwan Cho, Sangrak Jin, Jiyun Bae, Jongoh Shin, Yoseb Song, Jeongmi Lee, Minho Shong, Suhyung Cho, Dong Rip Kim and Hyon‐Seung Yi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Food Chemistry, Metabolic Engineering, Chemical Engineering Journal and International Journal of Molecular Sciences.
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.