Sun Mi Gu
Impact in
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- Tryptophan and brain disorders
- Toxicology top 5%
- Forensic Toxicology and Drug Analysis
Papers in
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- Neurotransmitter Receptor Influence on Behavior 10
- Neuroscience and Neuropharmacology Research 5
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- Nicotinic Acetylcholine Receptors Study 2
- Co-authors
- Jin Tae Hong (16 shared papers)Jaesuk Yun (17 shared papers)Dong Ju Son (6 shared papers)Sang‐Bae Han (7 shared papers)Ki Wan Oh (4 shared papers)Hye Jin (11 shared papers)Young Wan Ham (2 shared papers)Jaesuk Yun (5 shared papers)
- Journals
- Biomolecules & Therapeutics (4 papers)NeuroMolecular Medicine (2 papers)Oncotarget (2 papers)Biomedicine & Pharmacotherapy (2 papers)International Journal of Molecular Sciences (2 papers)
- Partner nations
- South KoreaUnited States
In The Last Decade
Sun Mi Gu
24 papers receiving 388 citations
Peers
Comparison fields: 5 of 81
- Biological Psychiatry 26
- Toxicology 34
- Neurology 46
- Pharmacology 83
- Pharmacology 42
Countries citing papers authored by Sun Mi Gu
This map shows the geographic impact of Sun Mi Gu'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 Gu 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 Gu more than expected).
Fields of papers citing papers by Sun Mi Gu
This network shows the impact of papers produced by Sun Mi Gu. 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 Gu. The network helps show where Sun Mi Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Sun Mi Gu, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 62 | |
| 2 | 2020 | 45 | |
| 3 | 2016 | 41 | |
| 4 | 2016 | 40 | |
| 5 | 2018 | 36 | |
| 6 | 2016 | 24 | |
| 7 | 2015 | 23 | |
| 8 | 2019 | 18 | |
| 9 | 2020 | 18 | |
| 10 | 2015 | 11 | |
| 11 | 2017 | 10 | |
| 12 | 2019 | 9 | |
| 13 | 2021 | 8 | |
| 14 | 2020 | 7 | |
| 15 | 2022 | 7 | |
| 16 | 2018 | 7 | |
| 17 | 2022 | 5 | |
| 18 | 2023 | 5 | |
| 19 | 2023 | 5 | |
| 20 | 2023 | 4 |
About Sun Mi Gu
Sun Mi Gu is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Pharmacology, Toxicology and Oncology, having authored 27 papers that have together received 393 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (10 papers), Forensic Toxicology and Drug Analysis (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Cannabis and Cannabinoid Research (4 papers), Piperaceae Chemical and Biological Studies (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Nicotinic Acetylcholine Receptors Study (2 papers) and Retinal Diseases and Treatments (2 papers). The work is most often cited by research in Biological Psychiatry (26 citations), Toxicology (34 citations), Neurology (46 citations), Pharmacology (83 citations) and Pharmacology (42 citations). Sun Mi Gu has collaborated with scholars based in South Korea and United States. Frequent co-authors include Jin Tae Hong, Jaesuk Yun, Dong Ju Son, Sang‐Bae Han, Ki Wan Oh, Hye Jin, Young Wan Ham, Jaesuk Yun, Jung Kee Min and Mi Hee Park. Their work appears in journals such as Biomolecules & Therapeutics, NeuroMolecular Medicine, Oncotarget, Biomedicine & Pharmacotherapy and International Journal of Molecular Sciences.
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.