Sun‐Mi Yun
Impact in
- Pharmacology top 5%
- Medicinal Plant Pharmacodynamics Research
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin
Papers in
-
- Genomics, phytochemicals, and oxidative stress 5
- PI3K/AKT/mTOR signaling in cancer 4
- Gut microbiota and health 3
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- Insect Utilization and Effects 7
- Silkworms and Sericulture Research 4
- Co-authors
- Eun‐Hee Kim (13 shared papers)Soo‐Jin Jeong (8 shared papers)Sung‐Hoon Kim (8 shared papers)Seok‐Ho Kim (4 shared papers)Bonglee Kim (2 shared papers)Da-Young Lee (9 shared papers)Ji Hoon Jung (5 shared papers)Ji‐Hyun Kim (5 shared papers)
- Journals
- Cancer Letters (4 papers)Journal of Functional Foods (2 papers)Oncotarget (2 papers)Thorax (1 paper)Phytotherapy Research (1 paper)
- Partner nations
- South KoreaUnited States
In The Last Decade
Sun‐Mi Yun
35 papers receiving 866 citations
Peers
Comparison fields: 5 of 93
- Pharmacology 92
- Endocrine and Autonomic Systems 62
- Complementary and alternative medicine 71
- Molecular Biology 441
- Cancer Research 84
Countries citing papers authored by Sun‐Mi Yun
This map shows the geographic impact of Sun‐Mi Yun'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 Sun‐Mi Yun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sun‐Mi Yun more than expected).
Fields of papers citing papers by Sun‐Mi Yun
This network shows the impact of papers produced by Sun‐Mi Yun. 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 Sun‐Mi Yun. The network helps show where Sun‐Mi Yun may publish in the future.
Co-authors
The 25 scholars most cited alongside Sun‐Mi Yun, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 88 | |
| 2 | 2011 | 84 | |
| 3 | 2013 | 76 | |
| 4 | 2021 | 67 | |
| 5 | 2010 | 60 | |
| 6 | 2017 | 55 | |
| 7 | 2020 | 46 | |
| 8 | 2011 | 43 | |
| 9 | 2013 | 33 | |
| 10 | 2013 | 28 | |
| 11 | 2017 | 28 | |
| 12 | 2010 | 27 | |
| 13 | 2013 | 27 | |
| 14 | 2018 | 25 | |
| 15 | 2022 | 24 | |
| 16 | 2019 | 20 | |
| 17 | 2007 | 20 | |
| 18 | 2014 | 15 | |
| 19 | 2020 | 12 | |
| 20 | 2009 | 11 |
About Sun‐Mi Yun
Sun‐Mi Yun is a scholar working on Molecular Biology, Insect Science, Oncology, Pathology and Forensic Medicine and Cancer Research, having authored 35 papers that have together received 875 indexed citations. Recurring topics across this work include Insect Utilization and Effects (7 papers), Genomics, phytochemicals, and oxidative stress (5 papers), Cancer Mechanisms and Therapy (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Silkworms and Sericulture Research (4 papers), Silk-based biomaterials and applications (4 papers), Gut microbiota and health (3 papers) and Chronic Myeloid Leukemia Treatments (3 papers). The work is most often cited by research in Pharmacology (92 citations), Endocrine and Autonomic Systems (62 citations), Complementary and alternative medicine (71 citations), Molecular Biology (441 citations) and Cancer Research (84 citations). Sun‐Mi Yun has collaborated with scholars based in South Korea and United States. Frequent co-authors include Eun‐Hee Kim, Soo‐Jin Jeong, Sung‐Hoon Kim, Seok‐Ho Kim, Bonglee Kim, Da-Young Lee, Ji Hoon Jung, Ji‐Hyun Kim, Moon-Young Song and Eun Jung Sohn. Their work appears in journals such as Cancer Letters, Journal of Functional Foods, Oncotarget, Thorax and Phytotherapy Research.
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.