Hun-Goo Lee
Impact in
- Aging top 10%
-
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- CRISPR and Genetic Engineering
- RNA and protein synthesis mechanisms
Papers in ⓘ
-
- Genomics and Chromatin Dynamics 4
- RNA modifications and cancer 3
- RNA and protein synthesis mechanisms 2
- Epigenetics and DNA Methylation 2
- RNA Research and Splicing 2
- RNA regulation and disease 2
- Genetics 3
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 2
- Co-authors
- Jeannie T. Lee (8 shared papers)Hsueh‐Ping Chu (3 shared papers)Hyun Jung Oh (4 shared papers)Barry Kesner (2 shared papers)Eric Aeby (2 shared papers)Myriam Boukhali (2 shared papers)Wilhelm Haas (2 shared papers)Catherine Cifuentes‐Rojas (1 shared paper)
- Journals
- Cell (3 papers)Nature Communications (2 papers)Developmental Cell (1 paper)Genome Research (1 paper)Nature Cell Biology (1 paper)
- Partner nations
- United StatesSouth KoreaSweden
In The Last Decade
Hun-Goo Lee
10 papers receiving 438 citations
Peers
Comparison fields: 5 of 44
- Aging 22
- Molecular Biology 381
- Cancer Research 79
- Physiology 111
- Genetics 73
Countries citing papers authored by Hun-Goo Lee
This map shows the geographic impact of Hun-Goo 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 Hun-Goo Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hun-Goo Lee more than expected).
Fields of papers citing papers by Hun-Goo Lee
This network shows the impact of papers produced by Hun-Goo 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 Hun-Goo Lee. The network helps show where Hun-Goo Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Hun-Goo 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
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 201 | |
| 2 | 2015 | 96 | |
| 3 | 2021 | 52 | |
| 4 | 2023 | 30 | |
| 5 | 2020 | 21 | |
| 6 | 2022 | 21 | |
| 7 | 2022 | 9 | |
| 8 | 2008 | 7 | |
| 9 | 2025 | 3 | |
| 10 | 2025 | 1 |
About Hun-Goo Lee
Hun-Goo Lee is a scholar working on Molecular Biology, Genetics, Physiology, Immunology and Plant Science, having authored 10 papers that have together received 441 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (4 papers), RNA modifications and cancer (3 papers), RNA and protein synthesis mechanisms (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers), Epigenetics and DNA Methylation (2 papers), RNA Research and Splicing (2 papers), RNA regulation and disease (2 papers) and interferon and immune responses (1 paper). The work is most often cited by research in Aging (22 citations), Molecular Biology (381 citations), Cancer Research (79 citations), Physiology (111 citations) and Genetics (73 citations). Hun-Goo Lee has collaborated with scholars based in United States, South Korea and Sweden. Frequent co-authors include Jeannie T. Lee, Hsueh‐Ping Chu, Hyun Jung Oh, Barry Kesner, Eric Aeby, Myriam Boukhali, Wilhelm Haas, Catherine Cifuentes‐Rojas, Chunyao Wei and Amanda Simcox. Their work appears in journals such as Cell, Nature Communications, Developmental Cell, Genome Research and Nature Cell 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.