Da Mi Kim
Impact in
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- Regulation of Appetite and Obesity
Papers in
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- FOXO transcription factor regulation 3
- Heme Oxygenase-1 and Carbon Monoxide 2
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- Adipose Tissue and Metabolism 3
- Co-authors
- Yuxiang Sun (11 shared papers)In Ho Lee (8 shared papers)Robert C. Alaniz (3 shared papers)Chang June Song (4 shared papers)Shaodong Guo (7 shared papers)Stephen Safe (3 shared papers)Chia‐Shan Wu (3 shared papers)Sridevi Devaraj (1 shared paper)
- Journals
- Acta Oto-Laryngologica (2 papers)Journal of Clinical Medicine (2 papers)Journal of Functional Foods (1 paper)Advanced Science (1 paper)Medicine (1 paper)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Da Mi Kim
24 papers receiving 412 citations
Peers
Comparison fields: 5 of 76
- Endocrine and Autonomic Systems 29
- Sensory Systems 21
- Endocrinology, Diabetes and Metabolism 60
- Neurology 27
- Neurology 46
Countries citing papers authored by Da Mi Kim
This map shows the geographic impact of Da Mi Kim'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 Da Mi Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Da Mi Kim more than expected).
Fields of papers citing papers by Da Mi Kim
This network shows the impact of papers produced by Da Mi Kim. 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 Da Mi Kim. The network helps show where Da Mi Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Da Mi Kim, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 81 | |
| 2 | 2018 | 70 | |
| 3 | 2016 | 43 | |
| 4 | 2021 | 29 | |
| 5 | 2019 | 27 | |
| 6 | 2023 | 24 | |
| 7 | 2016 | 24 | |
| 8 | 2022 | 21 | |
| 9 | 2023 | 18 | |
| 10 | 2017 | 17 | |
| 11 | 2023 | 14 | |
| 12 | 2021 | 9 | |
| 13 | 2022 | 8 | |
| 14 | 2020 | 6 | |
| 15 | 2024 | 5 | |
| 16 | 2021 | 5 | |
| 17 | 2016 | 4 | |
| 18 | 2025 | 3 | |
| 19 | 2019 | 2 | |
| 20 | 2022 | 2 |
About Da Mi Kim
Da Mi Kim is a scholar working on Molecular Biology, Physiology, Immunology, Neurology and Epidemiology, having authored 26 papers that have together received 416 indexed citations. Recurring topics across this work include FOXO transcription factor regulation (3 papers), Immune cells in cancer (3 papers), Adipose Tissue and Metabolism (3 papers), Heme Oxygenase-1 and Carbon Monoxide (2 papers), Cardiac Arrest and Resuscitation (2 papers), Immune Cell Function and Interaction (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Head and Neck Surgical Oncology (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (29 citations), Sensory Systems (21 citations), Endocrinology, Diabetes and Metabolism (60 citations), Neurology (27 citations) and Neurology (46 citations). Da Mi Kim has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Yuxiang Sun, In Ho Lee, Robert C. Alaniz, Chang June Song, Shaodong Guo, Stephen Safe, Chia‐Shan Wu, Sridevi Devaraj, Miriam Balderas and Qiong Wei. Their work appears in journals such as Acta Oto-Laryngologica, Journal of Clinical Medicine, Journal of Functional Foods, Advanced Science and Medicine.
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.