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 11
- Protein Hydrolysis and Bioactive Peptides 5
- Ginseng Biological Effects and Applications 5
- Food Science 23
- Probiotics and Fermented Foods 16
- 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)Eduardo Ximenes (9 shared papers)Michael R. Ladisch (9 shared papers)
- Journals
- Biotechnology Progress (6 papers)International Journal of Molecular Sciences (6 papers)Microbial Cell Factories (5 papers)Molecules (4 papers)RSC Advances (2 papers)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Seockmo Ku
63 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 122
- Biotechnology 246
- Food Science 460
- Pharmacology 132
- Nutrition and Dietetics 227
- Molecular Biology 699
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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 192 | |
| 2 | 2018 | 112 | |
| 3 | 2018 | 89 | |
| 4 | 2016 | 77 | |
| 5 | 2017 | 61 | |
| 6 | 2017 | 60 | |
| 7 | 2019 | 51 | |
| 8 | 2017 | 43 | |
| 9 | 2019 | 39 | |
| 10 | 2016 | 36 | |
| 11 | 2016 | 35 | |
| 12 | 2018 | 34 | |
| 13 | 2021 | 32 | |
| 14 | 2020 | 31 | |
| 15 | 2018 | 30 | |
| 16 | 2018 | 30 | |
| 17 | 2020 | 27 | |
| 18 | 2011 | 26 | |
| 19 | 2015 | 25 | |
| 20 | 2018 | 24 |
About Seockmo Ku
Seockmo Ku is a scholar working on Molecular Biology, Food Science, Nutrition and Dietetics, Biotechnology and Biomedical Engineering, having authored 69 papers that have together received 1.5k indexed citations. Recurring topics across this work include Probiotics and Fermented Foods (16 papers), Gut microbiota and health (11 papers), Biosensors and Analytical Detection (9 papers), Microbial Metabolites in Food Biotechnology (7 papers), Pharmacological Effects of Natural Compounds (6 papers), Protein Hydrolysis and Bioactive Peptides (5 papers), Ginseng Biological Effects and Applications (5 papers) and GABA and Rice Research (4 papers). The work is most often cited by research in Biotechnology (246 citations), Food Science (460 citations), Pharmacology (132 citations), Nutrition and Dietetics (227 citations) and Molecular Biology (699 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, Eduardo Ximenes, Michael R. Ladisch, Jiyeon Kim and Jongsung Lee. Their work appears in journals such as Biotechnology Progress, International Journal of Molecular Sciences, Microbial Cell Factories, Molecules and RSC Advances.
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.