Junehawk Lee
Impact in
-
- Cancer Genomics and Diagnostics
- Genetics top 10%
- Genomics and Rare Diseases
- Genetics and Neurodevelopmental Disorders
- Genomic variations and chromosomal abnormalities
Papers in
- Genetics 10
- Genomics and Rare Diseases 6
- Genomic variations and chromosomal abnormalities 5
-
- CRISPR and Genetic Engineering 3
- Gene expression and cancer classification 2
- Bioinformatics and Genomic Networks 2
- Co-authors
- Jeong Ho Lee (11 shared papers)Sangwoo Kim (5 shared papers)Sang Min Park (3 shared papers)Jae Seok Lim (3 shared papers)Hoon‐Chul Kang (3 shared papers)Se Hoon Kim (2 shared papers)Dong Seok Kim (2 shared papers)Seokjoong Kim (2 shared papers)
- Journals
- Nature Communications (1 paper)Nature Biomedical Engineering (1 paper)Cell (1 paper)Translational Psychiatry (1 paper)PLoS Genetics (1 paper)
- Partner nations
- South KoreaUnited StatesEthiopia
In The Last Decade
Junehawk Lee
19 papers receiving 587 citations
Peers
Comparison fields: 5 of 72
- Cancer Research 105
- Genetics 190
- Molecular Biology 325
- Psychiatry and Mental health 42
- Physiology 74
Countries citing papers authored by Junehawk Lee
This map shows the geographic impact of Junehawk 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 Junehawk Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junehawk Lee more than expected).
Fields of papers citing papers by Junehawk Lee
This network shows the impact of papers produced by Junehawk 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 Junehawk Lee. The network helps show where Junehawk Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Junehawk 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 | 139 | |
| 2 | 2019 | 133 | |
| 3 | 2019 | 112 | |
| 4 | 2018 | 86 | |
| 5 | 2023 | 29 | |
| 6 | 2021 | 21 | |
| 7 | 2023 | 14 | |
| 8 | 2022 | 13 | |
| 9 | 2011 | 11 | |
| 10 | 2022 | 8 | |
| 11 | 2022 | 5 | |
| 12 | 2022 | 4 | |
| 13 | 2016 | 3 | |
| 14 | 2019 | 3 | |
| 15 | 2022 | 2 | |
| 16 | 2016 | 2 | |
| 17 | 2024 | 1 | |
| 18 | Differential Co-Expression Networks using RNA-seq and microarrays in Alzheimer's disease | 2016 | 1 |
| 19 | 2014 | 1 | |
| 20 | 2017 | 0 |
About Junehawk Lee
Junehawk Lee is a scholar working on Genetics, Molecular Biology, Cancer Research, Computer Networks and Communications and Artificial Intelligence, having authored 20 papers that have together received 588 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (7 papers), Genomics and Rare Diseases (6 papers), Genomic variations and chromosomal abnormalities (5 papers), CRISPR and Genetic Engineering (3 papers), Gene expression and cancer classification (2 papers), Chromosomal and Genetic Variations (2 papers), Bioinformatics and Genomic Networks (2 papers) and Algorithms and Data Compression (2 papers). The work is most often cited by research in Cancer Research (105 citations), Genetics (190 citations), Molecular Biology (325 citations), Psychiatry and Mental health (42 citations) and Physiology (74 citations). Junehawk Lee has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Jeong Ho Lee, Sangwoo Kim, Sang Min Park, Jae Seok Lim, Hoon‐Chul Kang, Se Hoon Kim, Dong Seok Kim, Seokjoong Kim, Il Bin Kim and Jun Sung Park. Their work appears in journals such as Nature Communications, Nature Biomedical Engineering, Cell, Translational Psychiatry and PLoS Genetics.
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.