Younghee Lee
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- RNA modifications and cancer 16
- RNA Research and Splicing 15
- Bioinformatics and Genomic Networks 12
- RNA and protein synthesis mechanisms 7
- Epigenetics and DNA Methylation 6
- Oncology 17
- Co-authors
- Hal E. Broxmeyer (8 shared papers)Giao Hangoc (4 shared papers)Yves A. Lussier (16 shared papers)Charlie Mantel (6 shared papers)Scott Cooper (3 shared papers)Lisa L. Kohli (3 shared papers)Hyung‐Joo Kwon (9 shared papers)Jianrong Li (10 shared papers)
- Journals
- BMC Medical Genomics (9 papers)BMB Reports (6 papers)Blood (4 papers)Scientific Reports (3 papers)IUBMB Life (3 papers)
- Partner nations
- United StatesSouth KoreaFrance
In The Last Decade
Younghee Lee
86 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 136
- Hematology 329
- Cancer Research 369
- Immunology 518
- Oncology 629
- Molecular Biology 1.0k
Countries citing papers authored by Younghee Lee
This map shows the geographic impact of Younghee 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 Younghee Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Younghee Lee more than expected).
Fields of papers citing papers by Younghee Lee
This network shows the impact of papers produced by Younghee 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 Younghee Lee. The network helps show where Younghee Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Younghee 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 93 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 207 | |
| 2 | 2000 | 168 | |
| 3 | 2018 | 165 | |
| 4 | 2004 | 156 | |
| 5 | 2003 | 141 | |
| 6 | 2003 | 129 | |
| 7 | 2010 | 129 | |
| 8 | 2002 | 120 | |
| 9 | 2007 | 91 | |
| 10 | 2004 | 56 | |
| 11 | 2017 | 52 | |
| 12 | 1995 | 46 | |
| 13 | 2017 | 45 | |
| 14 | 2010 | 44 | |
| 15 | 2012 | 41 | |
| 16 | 2002 | 40 | |
| 17 | 2011 | 37 | |
| 18 | 2003 | 36 | |
| 19 | 2012 | 36 | |
| 20 | 2013 | 33 |
About Younghee Lee
Younghee Lee is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Genetics, having authored 93 papers that have together received 2.4k indexed citations. Recurring topics across this work include RNA modifications and cancer (16 papers), RNA Research and Splicing (15 papers), Bioinformatics and Genomic Networks (12 papers), Cancer-related molecular mechanisms research (10 papers), RNA and protein synthesis mechanisms (7 papers), Genetic Associations and Epidemiology (6 papers), Epigenetics and DNA Methylation (6 papers) and Immune Response and Inflammation (6 papers). The work is most often cited by research in Hematology (329 citations), Cancer Research (369 citations), Immunology (518 citations), Oncology (629 citations) and Molecular Biology (1.0k citations). Younghee Lee has collaborated with scholars based in United States, South Korea and France. Frequent co-authors include Hal E. Broxmeyer, Giao Hangoc, Yves A. Lussier, Charlie Mantel, Scott Cooper, Lisa L. Kohli, Hyung‐Joo Kwon, Jianrong Li, Xinan Yang and Lawrence M. Sayre. Their work appears in journals such as BMC Medical Genomics, BMB Reports, Blood, Scientific Reports and IUBMB Life.
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.