Min Gi Jo
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
- Neurology 10
- Neuroinflammation and Neurodegeneration Mechanisms 10
- Parkinson's Disease Mechanisms and Treatments 4
- Neurological Disease Mechanisms and Treatments 3
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- Alzheimer's disease research and treatments 5
- Adipose Tissue and Metabolism 4
- Co-authors
- Myeong Ok Kim (9 shared papers)Muhammad Ikram (4 shared papers)Amjad Khan (4 shared papers)Mehtab Khan (2 shared papers)Tahir Ali (3 shared papers)Shahid Ali Shah (1 shared paper)Faiz Ul Amin (1 shared paper)Min Woo Kim (4 shared papers)
- Journals
- Scientific Reports (3 papers)Biomedicines (3 papers)Molecular Neurobiology (2 papers)Oncology Reports (1 paper)Journal of Autoimmunity (1 paper)
- Partner nations
- South KoreaUnited KingdomUnited States
In The Last Decade
Min Gi Jo
20 papers receiving 908 citations
Peers
Comparison fields: 5 of 93
- Biological Psychiatry 114
- Neurology 223
- Geriatrics and Gerontology 49
- Endocrine and Autonomic Systems 78
- Biochemistry 69
Countries citing papers authored by Min Gi Jo
This map shows the geographic impact of Min Gi Jo'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 Min Gi Jo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Gi Jo more than expected).
Fields of papers citing papers by Min Gi Jo
This network shows the impact of papers produced by Min Gi Jo. 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 Min Gi Jo. The network helps show where Min Gi Jo may publish in the future.
Co-authors
The 25 scholars most cited alongside Min Gi Jo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 203 | |
| 2 | 2019 | 150 | |
| 3 | 2016 | 102 | |
| 4 | 2020 | 76 | |
| 5 | 2018 | 61 | |
| 6 | 2017 | 57 | |
| 7 | 2020 | 56 | |
| 8 | 2021 | 43 | |
| 9 | 2017 | 29 | |
| 10 | 2019 | 28 | |
| 11 | 2021 | 27 | |
| 12 | 2021 | 22 | |
| 13 | 2018 | 19 | |
| 14 | 2019 | 18 | |
| 15 | 2022 | 5 | |
| 16 | 2022 | 5 | |
| 17 | 2024 | 4 | |
| 18 | 2025 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2024 | 1 |
About Min Gi Jo
Min Gi Jo is a scholar working on Neurology, Physiology, Cellular and Molecular Neuroscience, Molecular Biology and Neurology, having authored 20 papers that have together received 910 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Alzheimer's disease research and treatments (5 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Adipose Tissue and Metabolism (4 papers), Neurological Disease Mechanisms and Treatments (3 papers), Nuclear Receptors and Signaling (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and Tryptophan and brain disorders (2 papers). The work is most often cited by research in Biological Psychiatry (114 citations), Neurology (223 citations), Geriatrics and Gerontology (49 citations), Endocrine and Autonomic Systems (78 citations) and Biochemistry (69 citations). Min Gi Jo has collaborated with scholars based in South Korea, United Kingdom and United States. Frequent co-authors include Myeong Ok Kim, Muhammad Ikram, Amjad Khan, Mehtab Khan, Tahir Ali, Shahid Ali Shah, Faiz Ul Amin, Min Woo Kim, Shafiq Ur Rehman and Noman Bin Abid. Their work appears in journals such as Scientific Reports, Biomedicines, Molecular Neurobiology, Oncology Reports and Journal of Autoimmunity.
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.