Jun Yup Lee

710 citations
14 papers · 485 · h-index 9

Impact in

Papers in

    • Sphingolipid Metabolism and Signaling 4
    • Alzheimer's disease research and treatments 3
    • Lysosomal Storage Disorders Research 2

Jun Yup Lee

14 papers receiving 480 citations

Peers

Jun Yup Lee
Comparison fields: 5 of 82
  • Molecular Medicine 72
  • Surfaces, Coatings and Films 65
  • Pharmaceutical Science 54
  • Biomaterials 110
  • Rehabilitation 36
Replace Vincent Pertici with:
Vincent Pertici France
Sidi Li China
Cécile Boyer France
Qiaozhen Qin China
Yaping Zhuang China
Zeyuan Cao China
Samuel P. Baldwin United States
Baoming Yuan China
Ik Sung Cho South Korea
Haiqian Liu China
Jun Yup Lee relative to Vincent Pertici France Vincent Pertici's profile →
Citations per field
00.5×4.9×
Vincent Pertici · 1×
Citations per year

Countries citing papers authored by Jun Yup Lee

Since Specialization
Citations

This map shows the geographic impact of Jun Yup 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 Jun Yup Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Yup Lee more than expected).

Fields of papers citing papers by Jun Yup Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun Yup 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 Jun Yup Lee. The network helps show where Jun Yup Lee may publish in the future.

Co-authors

The 25 scholars most cited alongside Jun Yup Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jun Yup Lee Line = papers co-authored together Jun Yup Lee links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2020252
2 202096
3 202324
4 201923
5 202319
6 202218
7 202116
8 202110
9 202010
10 20218
11 20044
12 20242
13
A Case of Hypoglycemic Encephalopathy with Lesion in the Hippocampus on Diffusion-Weighted MRI
20062
14 20201

About Jun Yup Lee

Jun Yup Lee is a scholar working on Molecular Biology, Physiology, Molecular Medicine, Neurology and Neurology, having authored 14 papers that have together received 485 indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (4 papers), Alzheimer's disease research and treatments (3 papers), Hydrogels: synthesis, properties, applications (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Lysosomal Storage Disorders Research (2 papers), Advanced Neuroimaging Techniques and Applications (1 paper), Advanced Materials and Mechanics (1 paper) and Nanoplatforms for cancer theranostics (1 paper). The work is most often cited by research in Molecular Medicine (72 citations), Surfaces, Coatings and Films (65 citations), Pharmaceutical Science (54 citations), Biomaterials (110 citations) and Rehabilitation (36 citations). Jun Yup Lee has collaborated with scholars based in Australia, South Korea and United Kingdom. Frequent co-authors include Jaeyun Kim, Seung Woo Choi, Min Kyung Kim, Min Kyung Kim, Thanh Loc Nguyen, Anthony S. Don, Jonathan D. Teo, John B. Kwok, Holly P. McEwen and Thomas Duncan. Their work appears in journals such as Advanced Functional Materials, ACS Applied Materials & Interfaces, Glia, NeuroMolecular Medicine and Oncogenesis.

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.

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