Seockmo Ku
Impact in
- Biotechnology top 2%
- Microbial Metabolism and Applications
- Food Science top 2%
- Probiotics and Fermented Foods
Papers in
-
- Gut microbiota and health 13
- Ginseng Biological Effects and Applications 5
- Food Science 22
- Probiotics and Fermented Foods 15
- Co-authors
- Geun Eog Ji (21 shared papers)Tony V. Johnston (22 shared papers)Daehwan Kim (5 shared papers)Myeong Soo Park (19 shared papers)Hyun Ju You (10 shared papers)Il‐Hoon Cho (1 shared paper)Michael R. Ladisch (9 shared papers)Eduardo Ximenes (9 shared papers)
- Journals
- International Journal of Molecular Sciences (6 papers)Biotechnology Progress (6 papers)Microbial Cell Factories (5 papers)Molecules (4 papers)Journal of Functional Foods (2 papers)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Seockmo Ku
62 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 122
- Biotechnology 235
- Food Science 446
- Pharmacology 130
- Nutrition and Dietetics 226
- Molecular Biology 697
Countries citing papers authored by Seockmo Ku
This map shows the geographic impact of Seockmo Ku'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 Seockmo Ku with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seockmo Ku more than expected).
Fields of papers citing papers by Seockmo Ku
This network shows the impact of papers produced by Seockmo Ku. 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 Seockmo Ku. The network helps show where Seockmo Ku may publish in the future.
Co-authors
The 25 scholars most cited alongside Seockmo Ku, 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 164 | |
| 2 | 2018 | 106 | |
| 3 | 2018 | 80 | |
| 4 | 2016 | 76 | |
| 5 | 2017 | 55 | |
| 6 | 2017 | 54 | |
| 7 | 2019 | 45 | |
| 8 | 2017 | 42 | |
| 9 | 2016 | 36 | |
| 10 | 2018 | 34 | |
| 11 | 2019 | 34 | |
| 12 | 2016 | 33 | |
| 13 | 2021 | 30 | |
| 14 | 2018 | 29 | |
| 15 | 2020 | 28 | |
| 16 | 2018 | 27 | |
| 17 | 2011 | 26 | |
| 18 | 2015 | 25 | |
| 19 | 2020 | 24 | |
| 20 | 2018 | 22 |
About Seockmo Ku
Seockmo Ku is a scholar working on Molecular Biology, Food Science, Biotechnology, Nutrition and Dietetics and Biomedical Engineering, having authored 66 papers that have together received 1.4k indexed citations. Recurring topics across this work include Probiotics and Fermented Foods (15 papers), Gut microbiota and health (13 papers), Biosensors and Analytical Detection (9 papers), Microbial Metabolites in Food Biotechnology (7 papers), Pharmacological Effects of Natural Compounds (6 papers), Ginseng Biological Effects and Applications (5 papers), Cancer Research and Treatments (4 papers) and Microbial Metabolism and Applications (4 papers). The work is most often cited by research in Biotechnology (235 citations), Food Science (446 citations), Pharmacology (130 citations), Nutrition and Dietetics (226 citations) and Molecular Biology (697 citations). Seockmo Ku has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Geun Eog Ji, Tony V. Johnston, Daehwan Kim, Myeong Soo Park, Hyun Ju You, Il‐Hoon Cho, Michael R. Ladisch, Eduardo Ximenes, Hui Jin and Sini Kang. Their work appears in journals such as International Journal of Molecular Sciences, Biotechnology Progress, Microbial Cell Factories, Molecules and Journal of Functional Foods.
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.