Ji‐Eun Lee

9.5k citations
98 papers · 5.8k indexed · 1 hit paper · h-index 38
    • Epigenetics and DNA Methylation 20
    • Cancer-related gene regulation 11
    • Genomics and Chromatin Dynamics 10
    • RNA modifications and cancer 10
    • Protein Degradation and Inhibitors 8
    • Ubiquitin and proteasome pathways 6
    • Signaling Pathways in Disease 6
  • Physiology top 5%
    • Adipose Tissue and Metabolism 10
  • Oncology top 5%
  • Aging top 5%

Ji‐Eun Lee

92 papers receiving 5.8k citations

Hit Papers

Distinct roles of GCN5/PCAF‐mediated H3K9ac and CBP/p300‐...6192010202620152020200400600

Peers

Ji‐Eun Lee
Comparison fields: 5 of 144
  • Molecular Biology 4.3k
  • Cancer Research 639
  • Physiology 698
  • Oncology 703
  • Aging 43
Replace Guangchao Sui with:
Guangchao Sui United States
Kunihiko Sakumi Japan
Neil Q. McDonald United Kingdom
Osamu Minowa Japan
Zhenguo Wu Hong Kong
Sérgio Valente Italy
Johannes Graumann Germany
Jean S. Campbell United States
Lei Wei United States
Jenny Bain United Kingdom
Ji‐Eun Lee relative to Guangchao Sui United States Guangchao Sui's profile →
Citations per field
00.5×1.7×
Guangchao Sui · 1×
Citations per year

Countries citing papers authored by Ji‐Eun Lee

Since Specialization
Citations

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

Fields of papers citing papers by Ji‐Eun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20249
4 20247
5 202018
6 202030
7 202015
8 2020116
9 202022
10 202086
11 2019212
12 20197
13 2016166
14 2014178
15 201426
16 201373
17 200913
18 200621
19 200537
20 20048

About Ji‐Eun Lee

Ji‐Eun Lee is a scholar working on Molecular Biology, Cell Biology and Cancer Research, having authored 98 papers that have together received 5.8k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (20 papers), Cancer-related gene regulation (11 papers), Genomics and Chromatin Dynamics (10 papers), Adipose Tissue and Metabolism (10 papers), RNA modifications and cancer (10 papers), Protein Degradation and Inhibitors (8 papers), Ubiquitin and proteasome pathways (6 papers) and Signaling Pathways in Disease (6 papers). The work is most often cited by research in Molecular Biology (4.3k citations), Cancer Research (639 citations) and Physiology (698 citations). Ji‐Eun Lee has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Kai Ge, Lifeng Wang, Chaochen Wang, Qihuang Jin, Weiqun Peng, Binbin Lai, Lenan Zhuang, Eun‐Jung Cho, Younghoon Jang and Young‐Wook Cho. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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