Min Chul Lee
- Physiology top 10%
- Molecular Biology
- Developmental Neuroscience top 5%
- Cellular and Molecular Neuroscience top 10%
- Cell Biology
- Co-authors
- Hideaki SoyaMasahiro OkamotoKoshiro InoueTakashi MatsuiRandeep RakwalJunko ShibatoJang Soo YookHyo Youl Moon
- Topics
- Adipose Tissue and Metabolism (11 papers)Neurogenesis and neuroplasticity mechanisms (10 papers)Muscle metabolism and nutrition (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaMolecular CellPLoS ONE
- Partner nations
- South KoreaJapanUnited States
In The Last Decade
Min Chul Lee
37 papers receiving 884 citations
Peers
Comparison fields: 5 of 105
- Physiology 287
- Molecular Biology 269
- Developmental Neuroscience 155
- Cellular and Molecular Neuroscience 131
- Cell Biology 102
Countries citing papers authored by Min Chul Lee
This map shows the geographic impact of Min Chul Lee'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 Chul Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Chul Lee more than expected).
Fields of papers citing papers by Min Chul Lee
This network shows the impact of papers produced by Min Chul Lee. 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 Chul Lee. The network helps show where Min Chul Lee may publish in the future.
Co-authorship network of co-authors of Min Chul Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Min Chul Lee. A scholar is included among the top collaborators of Min Chul Lee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Min Chul Lee. Min Chul Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 8 | |
| 8 | 38 | |
| 9 | 8 | |
| 10 | 6 | |
| 11 | 115 | |
| 12 | 18 | |
| 13 | 1 | |
| 14 | 44 | |
| 15 | Invite Review : Brain Activation via Exercise: Exercise conditions Leading to neuronal activation & hippocampal neurogenesis | 2 |
| 16 | 99 | |
| 17 | 35 | |
| 18 | 135 | |
| 19 | The Temporospatial Distribution of Glutamate Receptors and the Effect of MK-801 on Glutamate Receptors Activation in Kainate-induced Seizure Model; Quantitative Receptor Autoradiography of Ionotropic Glutamate Receptors | 0 |
| 20 | A case of recurrent ovarian carcinoma metastasizing to umbilical skin mass. | 1 |
About Min Chul Lee
Min Chul Lee is a scholar working on Developmental Neuroscience, Physiology and Rehabilitation, having authored 42 papers that have together received 903 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (11 papers), Neurogenesis and neuroplasticity mechanisms (10 papers) and Muscle metabolism and nutrition (5 papers). The work is most often cited by research in Developmental Neuroscience (155 citations), Behavioral Neuroscience (65 citations) and Neurology (93 citations). Min Chul Lee has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Hideaki Soya, Masahiro Okamoto, Koshiro Inoue, Takashi Matsui, Randeep Rakwal, Junko Shibato, Jang Soo Yook, Hyo Youl Moon, Hitoshi Fujii and Takahiko Fujikawa. Their work appears in journals such as SHILAP Revista de lepidopterología, Molecular Cell and PLoS ONE.
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.