Sun Mi Gu
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
- Toxicology top 5%
- Forensic Toxicology and Drug Analysis
Papers in
-
- Neurotransmitter Receptor Influence on Behavior 10
- Neuroscience and Neuropharmacology Research 6
-
- Receptor Mechanisms and Signaling 2
- Co-authors
- Jin Tae Hong (15 shared papers)Jaesuk Yun (16 shared papers)Dong Ju Son (6 shared papers)Sang‐Bae Han (6 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)Naunyn-Schmiedeberg s Archives of Pharmacology (2 papers)International Journal of Molecular Sciences (2 papers)NeuroMolecular Medicine (2 papers)Biomedicine & Pharmacotherapy (2 papers)
- Partner nations
- South KoreaUnited States
In The Last Decade
Sun Mi Gu
24 papers receiving 362 citations
Peers
Comparison fields: 5 of 86
- Biological Psychiatry 31
- Toxicology 35
- Neurology 55
- Pharmacology 45
- Cellular and Molecular Neuroscience 92
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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 59 | |
| 2 | 2016 | 40 | |
| 3 | 2020 | 37 | |
| 4 | 2016 | 37 | |
| 5 | 2018 | 35 | |
| 6 | 2015 | 23 | |
| 7 | 2016 | 22 | |
| 8 | 2020 | 17 | |
| 9 | 2019 | 15 | |
| 10 | 2015 | 11 | |
| 11 | 2017 | 10 | |
| 12 | 2019 | 9 | |
| 13 | 2018 | 7 | |
| 14 | 2022 | 7 | |
| 15 | 2021 | 7 | |
| 16 | 2020 | 5 | |
| 17 | 2023 | 4 | |
| 18 | 2023 | 4 | |
| 19 | 2023 | 4 | |
| 20 | 2022 | 4 |
About Sun Mi Gu
Sun Mi Gu is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Pharmacology, Toxicology and Biological Psychiatry, having authored 26 papers that have together received 365 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (10 papers), Neuroscience and Neuropharmacology Research (6 papers), Forensic Toxicology and Drug Analysis (5 papers), Cannabis and Cannabinoid Research (4 papers), Tryptophan and brain disorders (3 papers), Piperaceae Chemical and Biological Studies (2 papers), Receptor Mechanisms and Signaling (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Biological Psychiatry (31 citations), Toxicology (35 citations), Neurology (55 citations), Pharmacology (45 citations) and Cellular and Molecular Neuroscience (92 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, Mi Hee Park and Jung Kee Min. Their work appears in journals such as Biomolecules & Therapeutics, Naunyn-Schmiedeberg s Archives of Pharmacology, International Journal of Molecular Sciences, NeuroMolecular Medicine and Biomedicine & Pharmacotherapy.
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.