Uhn Lee

669 citations
34 papers · 471 · h-index 11

Impact in

    • Artificial Intelligence in Healthcare and Education
  • Aging top 10%
    • Genetics, Aging, and Longevity in Model Organisms

Papers in

Uhn Lee

33 papers receiving 458 citations

Peers

Uhn Lee
Comparison fields: 5 of 96
  • Health Informatics 25
  • Aging 31
  • Developmental Neuroscience 32
  • Geriatrics and Gerontology 16
  • Neurology 50
Replace Collin J. Engstrom with:
Collin J. Engstrom United States
Eleonora M. Lad United States
Brian J. Burkett United States
George Harston United Kingdom
Yi Han China
Lisa E. Olson United States
Geoffroy Noël Canada
Po‐Lin Chen Taiwan
Marco Moscatelli Italy
Jarmon G. Lees Australia
Uhn Lee relative to Collin J. Engstrom United States Collin J. Engstrom's profile →
Citations per field
00.5×10×15.5×
Collin J. Engstrom · 1×
Citations per year

Countries citing papers authored by Uhn Lee

Since Specialization
Citations

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

Fields of papers citing papers by Uhn Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Uhn 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 Uhn Lee Line = papers co-authored together Uhn Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018130
2 201441
3 201838
4 201538
5 201934
6 200632
7 201617
8 201817
9 200517
10 200514
11 200311
12 20189
13 20178
14 20108
15 20198
16 20148
17 20087
18 20106
19
Accuracy of the Free Hand Placement of an External Ventricular Drain (EVD).
20105
20 20055

About Uhn Lee

Uhn Lee is a scholar working on Cellular and Molecular Neuroscience, Biomedical Engineering, Molecular Biology, Developmental Neuroscience and Neurology, having authored 34 papers that have together received 471 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (5 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Nerve injury and regeneration (4 papers), Traumatic Brain Injury and Neurovascular Disturbances (3 papers), Nanoparticles: synthesis and applications (3 papers), Molecular Communication and Nanonetworks (3 papers), Neurosurgical Procedures and Complications (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Health Informatics (25 citations), Aging (31 citations), Developmental Neuroscience (32 citations), Geriatrics and Gerontology (16 citations) and Neurology (50 citations). Uhn Lee has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Yong-Jung Kim, Chan Jong Yoo, Sung‐Min Ahn, Chang‐Joong Lee, Polina Mamoshina, Franco Cortese, Morten Scheibye‐Knudsen, Olga Kovalchuk, Alexander Aliper and Won‐Suk Lee. Their work appears in journals such as Journal of Nanoscience and Nanotechnology, Journal of Clinical Oncology, Neurosurgical FOCUS, Medicine and The FASEB Journal.

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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