Han Lee

2.8k citations
41 papers · 1.9k indexed · 1 hit paper · h-index 20

Impact in

  • Aging top 5%
    • Neural dynamics and brain function
    • Visual perception and processing mechanisms
    • Memory and Neural Mechanisms

Papers in

Han Lee

40 papers receiving 1.8k citations

Hit Papers

The Translation Initiation Factor eIF-4E Binds to a Common Motif Shared by the Translation Factor eIF-4γ and the Translational Repressors 4E-Binding Proteins 1995 · 569 citations
5691995202620052015100200300400500

Peers

Han Lee
Comparison fields: 5 of 145
  • Aging 43
  • Cognitive Neuroscience 382
  • Molecular Biology 1.0k
  • Cellular and Molecular Neuroscience 270
  • Cell Biology 148
Replace Jen Q. Pan with:
Jen Q. Pan United States
Peng Yu China
Jesse Gillis United States
Olga Khorkova United States
Martin Ebeling Switzerland
Thomas Lingner Germany
Eva Andrés‐Mateos United States
John F. Fullard United States
Han Lee relative to Jen Q. Pan United States Jen Q. Pan's profile →
Citations per field
00.5×1.5×1.8×
Jen Q. Pan · 1×
Citations per year

Countries citing papers authored by Han Lee

Since Specialization
Citations

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

Fields of papers citing papers by Han Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20254
2 20242
3 20239
4 20222
5 20211
6 201920
7 201818
8 201828
9 201848
10 20171
11 201627
12 20141
13 20145
14 201340
15 201387
16 20095
17 200441
18 200116
19 200024
20 20000

About Han Lee

Han Lee is a scholar working on Aging, Developmental Neuroscience, Cell Biology, Molecular Biology and Behavioral Neuroscience, having authored 41 papers that have together received 1.9k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (9 papers), Zebrafish Biomedical Research Applications (6 papers), RNA Interference and Gene Delivery (4 papers), RNA and protein synthesis mechanisms (3 papers), DNA Repair Mechanisms (2 papers), Cardiac pacing and defibrillation studies (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers) and Cell death mechanisms and regulation (2 papers). The work is most often cited by research in Aging (43 citations), Cognitive Neuroscience (382 citations), Molecular Biology (1.0k citations), Cellular and Molecular Neuroscience (270 citations) and Cell Biology (148 citations). Han Lee has collaborated with scholars based in United States, South Korea and Taiwan. Frequent co-authors include Arnim Pause, Sylvie Mader, Nahum Sonenberg, Gregor Rainer, Nikos K. Logothetis, Gregory V. Simpson, Karl J. Clark, Stephen C. Ekker, C. H. Alvin and David P. Argue. Their work appears in journals such as PLoS ONE, Human Gene Therapy, Biochemical and Biophysical Research Communications, Scientific Reports and The CRISPR 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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