Mi Kyung Eom
Impact in
- Microbiology top 10%
- Ecology top 10%
- Microbial Community Ecology and Physiology
- Bacteriophages and microbial interactions
Papers in
- Ecology 14
- Microbial Community Ecology and Physiology 12
- Bacteriophages and microbial interactions 3
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- Genomics and Phylogenetic Studies 27
- Gut microbiota and health 5
- Co-authors
- Jung‐Sook Lee (24 shared papers)Keun Chul Lee (20 shared papers)Kwang Kyu Kim (8 shared papers)Song‐Gun Kim (3 shared papers)Han Sol Kim (14 shared papers)Ju Huck Lee (13 shared papers)Myong Jo Kim (1 shared paper)Hee‐Mock Oh (1 shared paper)
- Journals
- INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY (19 papers)Antonie van Leeuwenhoek (4 papers)The Journal of Microbiology (3 papers)Archives of Microbiology (2 papers)Scientific Reports (1 paper)
- Partner nations
- South KoreaGermanyChina
In The Last Decade
Mi Kyung Eom
32 papers receiving 346 citations
Peers
Comparison fields: 5 of 72
- Microbiology 9
- Ecology 147
- Molecular Biology 231
- Biotechnology 24
- Endocrinology 13
Countries citing papers authored by Mi Kyung Eom
This map shows the geographic impact of Mi Kyung Eom'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 Mi Kyung Eom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mi Kyung Eom more than expected).
Fields of papers citing papers by Mi Kyung Eom
This network shows the impact of papers produced by Mi Kyung Eom. 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 Mi Kyung Eom. The network helps show where Mi Kyung Eom may publish in the future.
Co-authors
The 25 scholars most cited alongside Mi Kyung Eom, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 41 | |
| 2 | 2014 | 33 | |
| 3 | 2017 | 30 | |
| 4 | 2018 | 25 | |
| 5 | 2010 | 22 | |
| 6 | 2014 | 22 | |
| 7 | 2020 | 18 | |
| 8 | 2019 | 15 | |
| 9 | 2019 | 13 | |
| 10 | 2015 | 13 | |
| 11 | 2019 | 11 | |
| 12 | 2016 | 10 | |
| 13 | 2020 | 10 | |
| 14 | 2021 | 9 | |
| 15 | 2024 | 9 | |
| 16 | 2020 | 8 | |
| 17 | 2017 | 7 | |
| 18 | 2014 | 7 | |
| 19 | 2024 | 7 | |
| 20 | 2021 | 7 |
About Mi Kyung Eom
Mi Kyung Eom is a scholar working on Ecology, Molecular Biology, Periodontics, Plant Science and Food Science, having authored 32 papers that have together received 352 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (27 papers), Microbial Community Ecology and Physiology (12 papers), Plant Disease Resistance and Genetics (6 papers), Probiotics and Fermented Foods (5 papers), Gut microbiota and health (5 papers), Oral microbiology and periodontitis research (4 papers), Plant-Microbe Interactions and Immunity (3 papers) and Bacteriophages and microbial interactions (3 papers). The work is most often cited by research in Microbiology (9 citations), Ecology (147 citations), Molecular Biology (231 citations), Biotechnology (24 citations) and Endocrinology (13 citations). Mi Kyung Eom has collaborated with scholars based in South Korea, Germany and China. Frequent co-authors include Jung‐Sook Lee, Keun Chul Lee, Kwang Kyu Kim, Song‐Gun Kim, Han Sol Kim, Ju Huck Lee, Myong Jo Kim, Hee‐Mock Oh, Jisun Kim and Jae‐Seong Lee. Their work appears in journals such as INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Antonie van Leeuwenhoek, The Journal of Microbiology, Archives of Microbiology and Scientific Reports.
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.