Gi Beom Keum
Impact in
- Animal Science and Zoology top 10%
- Animal Nutrition and Physiology
Papers in
-
- Gut microbiota and health 12
- Genomics and Phylogenetic Studies 3
- Food Science 13
- Probiotics and Fermented Foods 12
- Co-authors
- Sheena Kim (26 shared papers)Hyeun Bum Kim (27 shared papers)Minho Song (14 shared papers)Jin Ho Cho (15 shared papers)Jae Hyoung Cho (10 shared papers)Ju-Hoon Lee (14 shared papers)Hyeri Kim (7 shared papers)Jun Hyung Lee (3 shared papers)
- Journals
- Journal of Animal Science and Technology (13 papers)Frontiers in Veterinary Science (5 papers)Animals (1 paper)BMC Microbiology (1 paper)The Journal of Microbiology (1 paper)
- Partner nations
- South KoreaUnited StatesThailand
In The Last Decade
Gi Beom Keum
25 papers receiving 221 citations
Peers
Comparison fields: 5 of 56
- Animal Science and Zoology 57
- Applied Microbiology and Biotechnology 7
- Molecular Medicine 16
- Food Science 55
- Microbiology 13
Countries citing papers authored by Gi Beom Keum
This map shows the geographic impact of Gi Beom Keum'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 Gi Beom Keum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gi Beom Keum more than expected).
Fields of papers citing papers by Gi Beom Keum
This network shows the impact of papers produced by Gi Beom Keum. 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 Gi Beom Keum. The network helps show where Gi Beom Keum may publish in the future.
Co-authors
The 25 scholars most cited alongside Gi Beom Keum, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 39 | |
| 2 | 2024 | 25 | |
| 3 | 2022 | 22 | |
| 4 | 2023 | 17 | |
| 5 | 2021 | 17 | |
| 6 | 2024 | 16 | |
| 7 | 2021 | 14 | |
| 8 | 2023 | 14 | |
| 9 | 2021 | 12 | |
| 10 | 2022 | 9 | |
| 11 | 2023 | 7 | |
| 12 | 2023 | 5 | |
| 13 | 2023 | 5 | |
| 14 | 2025 | 5 | |
| 15 | 2023 | 4 | |
| 16 | 2025 | 4 | |
| 17 | 2025 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2022 | 2 | |
| 20 | 2024 | 1 |
About Gi Beom Keum
Gi Beom Keum is a scholar working on Molecular Biology, Food Science, Infectious Diseases, Animal Science and Zoology and Biotechnology, having authored 29 papers that have together received 228 indexed citations. Recurring topics across this work include Gut microbiota and health (12 papers), Probiotics and Fermented Foods (12 papers), Clostridium difficile and Clostridium perfringens research (5 papers), Animal Nutrition and Physiology (3 papers), Genomics and Phylogenetic Studies (3 papers), Enzyme Production and Characterization (3 papers), Meat and Animal Product Quality (2 papers) and Pharmaceutical and Antibiotic Environmental Impacts (2 papers). The work is most often cited by research in Animal Science and Zoology (57 citations), Applied Microbiology and Biotechnology (7 citations), Molecular Medicine (16 citations), Food Science (55 citations) and Microbiology (13 citations). Gi Beom Keum has collaborated with scholars based in South Korea, United States and Thailand. Frequent co-authors include Sheena Kim, Hyeun Bum Kim, Minho Song, Jin Ho Cho, Jae Hyoung Cho, Ju-Hoon Lee, Hyeri Kim, Jun Hyung Lee, Robin B. Guevarra and Min‐Ji Kim. Their work appears in journals such as Journal of Animal Science and Technology, Frontiers in Veterinary Science, Animals, BMC Microbiology and The Journal of Microbiology.
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.