Daye Mun
Impact in
-
- Genetics, Aging, and Longevity in Model Organisms
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- Tryptophan and brain disorders
Papers in
- Food Science 12
- Probiotics and Fermented Foods 11
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- Animal Nutrition and Physiology 7
- Co-authors
- Younghoon Kim (27 shared papers)Sangnam Oh (25 shared papers)Minho Song (15 shared papers)Sangdon Ryu (13 shared papers)Minhye Shin (5 shared papers)Hye‐Jin Choi (12 shared papers)Min Jin Kwak (13 shared papers)Tatsuya Unno (2 shared papers)
- Journals
- Journal of Animal Science and Technology (7 papers)Journal of Animal Science (5 papers)Food Science of Animal Resources (4 papers)Current Research in Food Science (2 papers)The Science of The Total Environment (2 papers)
- Partner nations
- South KoreaUnited StatesPuerto Rico
In The Last Decade
Daye Mun
34 papers receiving 350 citations
Peers
Comparison fields: 5 of 66
- Aging 21
- Biological Psychiatry 19
- Food Science 98
- Animal Science and Zoology 43
- Molecular Biology 179
Countries citing papers authored by Daye Mun
This map shows the geographic impact of Daye Mun'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 Daye Mun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daye Mun more than expected).
Fields of papers citing papers by Daye Mun
This network shows the impact of papers produced by Daye Mun. 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 Daye Mun. The network helps show where Daye Mun may publish in the future.
Co-authors
The 25 scholars most cited alongside Daye Mun, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 67 | |
| 2 | 2021 | 43 | |
| 3 | 2021 | 35 | |
| 4 | 2025 | 20 | |
| 5 | 2020 | 19 | |
| 6 | 2023 | 17 | |
| 7 | 2021 | 17 | |
| 8 | 2022 | 16 | |
| 9 | 2022 | 16 | |
| 10 | 2022 | 14 | |
| 11 | 2024 | 13 | |
| 12 | 2021 | 11 | |
| 13 | 2024 | 7 | |
| 14 | 2023 | 7 | |
| 15 | 2024 | 5 | |
| 16 | 2023 | 4 | |
| 17 | 2018 | 4 | |
| 18 | 2024 | 4 | |
| 19 | 2025 | 4 | |
| 20 | 2024 | 4 |
About Daye Mun
Daye Mun is a scholar working on Food Science, Animal Science and Zoology, Aging, Molecular Biology and Biological Psychiatry, having authored 38 papers that have together received 352 indexed citations. Recurring topics across this work include Gut microbiota and health (12 papers), Probiotics and Fermented Foods (11 papers), Animal Nutrition and Physiology (7 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Tryptophan and brain disorders (3 papers), Tissue Engineering and Regenerative Medicine (3 papers), Extracellular vesicles in disease (3 papers) and Protein Hydrolysis and Bioactive Peptides (2 papers). The work is most often cited by research in Aging (21 citations), Biological Psychiatry (19 citations), Food Science (98 citations), Animal Science and Zoology (43 citations) and Molecular Biology (179 citations). Daye Mun has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Younghoon Kim, Sangnam Oh, Minho Song, Sangdon Ryu, Minhye Shin, Hye‐Jin Choi, Min Jin Kwak, Tatsuya Unno, Miri Park and Do‐Youn Jeong. Their work appears in journals such as Journal of Animal Science and Technology, Journal of Animal Science, Food Science of Animal Resources, Current Research in Food Science and The Science of The Total Environment.
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.