Gyutae Lim
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
- Amyotrophic Lateral Sclerosis Research
Papers in
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- CRISPR and Genetic Engineering 3
- FOXO transcription factor regulation 2
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- Cholinesterase and Neurodegenerative Diseases 7
- Co-authors
- Jinhyuk Lee (17 shared papers)Kumju Youn (5 shared papers)Mira Jun (5 shared papers)Seung‐Eun Lee (1 shared paper)Seungyoon Nam (4 shared papers)Jin Han (1 shared paper)Dong Hyun Kim (1 shared paper)Jung Ho Kim (2 shared papers)
- Journals
- Nutrients (4 papers)International Journal of Molecular Sciences (2 papers)Bioinformatics (2 papers)International Journal of Biological Macromolecules (2 papers)Scientific Reports (2 papers)
- Partner nations
- South KoreaChinaUnited States
In The Last Decade
Gyutae Lim
25 papers receiving 556 citations
Peers
Comparison fields: 5 of 90
- Biological Psychiatry 33
- Neurology 96
- Physiology 210
- Pharmacology 134
- Computational Theory and Mathematics 96
Countries citing papers authored by Gyutae Lim
This map shows the geographic impact of Gyutae Lim'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 Gyutae Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gyutae Lim more than expected).
Fields of papers citing papers by Gyutae Lim
This network shows the impact of papers produced by Gyutae Lim. 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 Gyutae Lim. The network helps show where Gyutae Lim may publish in the future.
Co-authors
The 25 scholars most cited alongside Gyutae Lim, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 193 | |
| 2 | 2020 | 58 | |
| 3 | 2018 | 49 | |
| 4 | 2019 | 45 | |
| 5 | 2019 | 35 | |
| 6 | 2018 | 23 | |
| 7 | 2022 | 21 | |
| 8 | 2003 | 20 | |
| 9 | 2021 | 17 | |
| 10 | 2020 | 16 | |
| 11 | 2020 | 16 | |
| 12 | 2019 | 13 | |
| 13 | 1998 | 9 | |
| 14 | 2021 | 8 | |
| 15 | 2022 | 6 | |
| 16 | 2015 | 6 | |
| 17 | 2018 | 6 | |
| 18 | 2021 | 5 | |
| 19 | 2018 | 5 | |
| 20 | 2022 | 4 |
About Gyutae Lim
Gyutae Lim is a scholar working on Molecular Biology, Pharmacology, Physiology, Computational Theory and Mathematics and Organic Chemistry, having authored 25 papers that have together received 564 indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (7 papers), Alzheimer's disease research and treatments (4 papers), Computational Drug Discovery Methods (4 papers), CRISPR and Genetic Engineering (3 papers), FOXO transcription factor regulation (2 papers), Medicinal Plants and Neuroprotection (2 papers), Adipose Tissue and Metabolism (2 papers) and Amyotrophic Lateral Sclerosis Research (1 paper). The work is most often cited by research in Biological Psychiatry (33 citations), Neurology (96 citations), Physiology (210 citations), Pharmacology (134 citations) and Computational Theory and Mathematics (96 citations). Gyutae Lim has collaborated with scholars based in South Korea, China and United States. Frequent co-authors include Jinhyuk Lee, Kumju Youn, Mira Jun, Seung‐Eun Lee, Seungyoon Nam, Jin Han, Dong Hyun Kim, Jung Ho Kim, Dae Ho Lee and Aron Park. Their work appears in journals such as Nutrients, International Journal of Molecular Sciences, Bioinformatics, International Journal of Biological Macromolecules and Scientific Reports.
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.