Hangnoh Lee
Impact in
- Aging top 10%
-
- RNA Research and Splicing
- Genomics and Chromatin Dynamics
- Nuclear Structure and Function
- RNA modifications and cancer
- Genomics and Phylogenetic Studies
Papers in
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- Epigenetics and DNA Methylation 5
- Genomics and Chromatin Dynamics 5
- CRISPR and Genetic Engineering 3
- Single-cell and spatial transcriptomics 2
- Cancer-related gene regulation 2
- Genetics 4
- Co-authors
- Brian Oliver (11 shared papers)Joyce van de Leemput (8 shared papers)Zhe Han (8 shared papers)Jin‐Gu Lee (4 shared papers)Weiliang Huang (2 shared papers)Maureen A. Kane (2 shared papers)Susan T Harbison (2 shared papers)Yanzhu Lin (1 shared paper)
- Journals
- Cells (3 papers)Nature Communications (2 papers)Cell & Bioscience (2 papers)Molecular and Cellular Biology (2 papers)Communications Biology (2 papers)
- Partner nations
- United StatesHungaryUnited Kingdom
In The Last Decade
Hangnoh Lee
26 papers receiving 612 citations
Peers
Comparison fields: 5 of 85
- Aging 25
- Molecular Biology 376
- Insect Science 56
- Infectious Diseases 75
- Genetics 91
Countries citing papers authored by Hangnoh Lee
This map shows the geographic impact of Hangnoh 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 Hangnoh Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hangnoh Lee more than expected).
Fields of papers citing papers by Hangnoh Lee
This network shows the impact of papers produced by Hangnoh 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 Hangnoh Lee. The network helps show where Hangnoh Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Hangnoh Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 111 | |
| 2 | 2021 | 85 | |
| 3 | 2020 | 80 | |
| 4 | 2014 | 76 | |
| 5 | 2018 | 31 | |
| 6 | 2016 | 31 | |
| 7 | 2022 | 24 | |
| 8 | 2021 | 22 | |
| 9 | 2018 | 22 | |
| 10 | 2021 | 21 | |
| 11 | 2016 | 19 | |
| 12 | 2012 | 15 | |
| 13 | 2010 | 14 | |
| 14 | 2020 | 9 | |
| 15 | 2017 | 8 | |
| 16 | 2021 | 8 | |
| 17 | 2023 | 7 | |
| 18 | 2018 | 7 | |
| 19 | 2024 | 5 | |
| 20 | 2023 | 5 |
About Hangnoh Lee
Hangnoh Lee is a scholar working on Molecular Biology, Genetics, Insect Science, Plant Science and Oncology, having authored 27 papers that have together received 614 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (5 papers), Genomics and Chromatin Dynamics (5 papers), Chromosomal and Genetic Variations (3 papers), Insect symbiosis and bacterial influences (3 papers), CRISPR and Genetic Engineering (3 papers), Single-cell and spatial transcriptomics (2 papers), Cancer-related Molecular Pathways (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Aging (25 citations), Molecular Biology (376 citations), Insect Science (56 citations), Infectious Diseases (75 citations) and Genetics (91 citations). Hangnoh Lee has collaborated with scholars based in United States, Hungary and United Kingdom. Frequent co-authors include Brian Oliver, Joyce van de Leemput, Zhe Han, Jin‐Gu Lee, Weiliang Huang, Maureen A. Kane, Susan T Harbison, Yanzhu Lin, Kseniya Golovnina and Yazmin L. Serrano Negron. Their work appears in journals such as Cells, Nature Communications, Cell & Bioscience, Molecular and Cellular Biology and Communications Biology.
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.