Jun Hee Lee

118 papers receiving 7.6k citations

Jun Hee Lee's Hit Papers

Microscopic examination of spatial transcriptome using Seq-Scope 2021 · 321 citations
3210+2+4Years since publication250500750

Peers

Jun Hee Lee
Comparison fields: 5 of 158
  • Aging 182
  • Geriatrics and Gerontology 272
  • Molecular Biology 4.2k
  • Biological Psychiatry 118
  • Physiology 231
Replace Kira M. Holmström with:
Kira M. Holmström United States
Saverio Marchi Italy
Alessandro Rimessi Italy
Paul S. Brookes United States
Werner J.H. Koopman Netherlands
Fabio Di Lisa Italy
Massimo Bonora Italy
Osamu Hori Japan
Erhe Gao United States
Qun Chen United States
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Citations per year

Countries citing papers authored by Jun Hee Lee

Since Specialization
Citations

This map shows the geographic impact of Jun Hee 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 Hee 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 Hee Lee more than expected).

Fields of papers citing papers by Jun Hee Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 123 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Transneuronal Propagation of Pathologic α-Synuclein from the Gut to the Brain Models Parkinson’s Disease
Hit paper breakdown →
2019996
2
m6A enhances the phase separation potential of mRNA
Hit paper breakdown →
2019530
3 2010479
4
Microscopic examination of spatial transcriptome using Seq-Scope
Hit paper breakdown →
2021321
5 2013280
6 2012253
7 2017223
8 2007190
9 2018186
10 2010185
11 2014156
12 2014156
13 2020152
14 2014150
15 2014149
16 2015148
17 2015131
18 2016118
19 2020113
20 2014108

About Jun Hee Lee

Jun Hee Lee is a scholar working on Molecular Biology, Epidemiology, Cell Biology, Physiology and Cancer Research, having authored 123 papers that have together received 7.7k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (20 papers), PI3K/AKT/mTOR signaling in cancer (20 papers), Single-cell and spatial transcriptomics (10 papers), Endoplasmic Reticulum Stress and Disease (10 papers), Adipose Tissue and Metabolism (8 papers), Genomics, phytochemicals, and oxidative stress (7 papers), Freezing and Crystallization Processes (7 papers) and Sirtuins and Resveratrol in Medicine (7 papers). The work is most often cited by research in Aging (182 citations), Geriatrics and Gerontology (272 citations), Molecular Biology (4.2k citations), Biological Psychiatry (118 citations) and Physiology (231 citations). Jun Hee Lee has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Michael Karin, Andrei V. Budanov, Sang Hun Lee, Sim Namkoong, Hwan‐Woo Park, Myungjin Kim, Chun‐Seok Cho, Ian Semple, Yeo Min Yoon and Hojoong Kwak. Their work appears in journals such as International Journal of Molecular Sciences, Anticancer Research, Nature Communications, Autophagy and Biomolecules & Therapeutics.

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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