Kang‐Min Lee
- Molecular Biology
- Immunology top 10%
- Cellular and Molecular Neuroscience top 10%
- Physiology
- Pharmacology top 10%
- Co-authors
- Jae‐Young UmHong‐Seob SoHyun‐Ock PaeHun‐Taeg ChungRaekil ParkSeung‐Heon HongHyung‐Min KimHyun‐Ja Jeong
- Topics
- NF-κB Signaling Pathways (8 papers)Neuroinflammation and Neurodegeneration Mechanisms (7 papers)Immune Response and Inflammation (6 papers)
- Cited by
- Sensory SystemsNeurologyBiochemistry
- Partner nations
- South KoreaUnited StatesGermany
In The Last Decade
Kang‐Min Lee
57 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 109
- Molecular Biology 479
- Immunology 239
- Cellular and Molecular Neuroscience 148
- Physiology 141
- Pharmacology 125
Countries citing papers authored by Kang‐Min Lee
This map shows the geographic impact of Kang‐Min 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 Kang‐Min Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kang‐Min Lee more than expected).
Fields of papers citing papers by Kang‐Min Lee
This network shows the impact of papers produced by Kang‐Min 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 Kang‐Min Lee. The network helps show where Kang‐Min Lee may publish in the future.
Co-authorship network of co-authors of Kang‐Min Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Kang‐Min Lee. A scholar is included among the top collaborators of Kang‐Min 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 Kang‐Min Lee. Kang‐Min 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 | 7 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 15 | |
| 6 | 18 | |
| 7 | Development of Robot Mechanism and Control for Cleaning Solar Panels at High Inclination Angle | 3 |
| 8 | 18 | |
| 9 | Formulation and Characterization of Lipase Loaded Poly(D,L - lactide-co-glycolide) Nanoparticles | 1 |
| 10 | 9 | |
| 11 | 97 | |
| 12 | 67 | |
| 13 | 77 | |
| 14 | 1 | |
| 15 | 14 | |
| 16 | 9 | |
| 17 | 3 | |
| 18 | Cooperative Activity of Subunits of Human Ferritin Heteropolymers in Escherichia coli | 8 |
| 19 | 85 | |
| 20 | Enzyme Resolution of 1-formyl-trimethylenemethane-iron-Tricarbonyl with Horse Liver Alcohol Dehydrogenase in Microemulsion | 2 |
About Kang‐Min Lee
Kang‐Min Lee is a scholar working on Neurology, Immunology and Pharmacology, having authored 60 papers that have together received 1.3k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (8 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers) and Immune Response and Inflammation (6 papers). The work is most often cited by research in Sensory Systems (117 citations), Neurology (122 citations) and Biochemistry (98 citations). Kang‐Min Lee has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Jae‐Young Um, Hong‐Seob So, Hyun‐Ock Pae, Hun‐Taeg Chung, Raekil Park, Seung‐Heon Hong, Hyung‐Min Kim, Hyun‐Ja Jeong, Sun‐Oh Jeong and Chang‐Duk Jun. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Current Biology.
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.