Ya-Li Lee
Impact in
- Aging top 5%
Papers in
-
- CRISPR and Genetic Engineering 6
- RNA Interference and Gene Delivery 3
- Pluripotent Stem Cells Research 2
- Advanced biosensing and bioanalysis techniques 2
- Cancer-related gene regulation 1
- Oncology 2
- Cancer-related Molecular Pathways 1
- Co-authors
- Philip D. Gregory (5 shared papers)Michael C. Holmes (6 shared papers)Jeffrey C. Miller (4 shared papers)Christian Beauséjour (2 shared papers)Jeremy M. Rock (2 shared papers)Fyodor D. Urnov (3 shared papers)Andrew C. Jamieson (2 shared papers)Matthew H. Porteus (1 shared paper)
- Journals
- Cancers (2 papers)Molecular Therapy (2 papers)Blood (1 paper)Proceedings of the National Academy of Sciences (1 paper)Nature (1 paper)
- Partner nations
- United StatesAustralia
In The Last Decade
Ya-Li Lee
9 papers receiving 2.4k citations
Ya-Li Lee's Hit Papers
Peers
Comparison fields: 5 of 87
- Business and International Management 115
- Aging 70
- Molecular Biology 2.3k
- Genetics 777
- Virology 67
Countries citing papers authored by Ya-Li Lee
This map shows the geographic impact of Ya-Li 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 Ya-Li Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ya-Li Lee more than expected).
Fields of papers citing papers by Ya-Li Lee
This network shows the impact of papers produced by Ya-Li 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 Ya-Li Lee. The network helps show where Ya-Li Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Ya-Li 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 | Highly efficient endogenous human gene correction using designed zinc-finger nucleases Hit paper breakdown → | 2005 | 1234 |
| 2 | An improved zinc-finger nuclease architecture for highly specific genome editing Hit paper breakdown → | 2007 | 805 |
| 3 | 2007 | 275 | |
| 4 | 2001 | 190 | |
| 5 | 2013 | 3 | |
| 6 | 2006 | 3 | |
| 7 | 2023 | 2 | |
| 8 | 2006 | 1 | |
| 9 | 2022 | 1 |
About Ya-Li Lee
Ya-Li Lee is a scholar working on Molecular Biology, Oncology, Genetics, Pulmonary and Respiratory Medicine and Genetics, having authored 9 papers that have together received 2.5k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (6 papers), RNA Interference and Gene Delivery (3 papers), Pluripotent Stem Cells Research (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Advanced Breast Cancer Therapies (1 paper), Chronic Lymphocytic Leukemia Research (1 paper), Cancer-related Molecular Pathways (1 paper) and Cancer-related gene regulation (1 paper). The work is most often cited by research in Business and International Management (115 citations), Aging (70 citations), Molecular Biology (2.3k citations), Genetics (777 citations) and Virology (67 citations). Ya-Li Lee has collaborated with scholars based in United States and Australia. Frequent co-authors include Philip D. Gregory, Michael C. Holmes, Jeffrey C. Miller, Christian Beauséjour, Jeremy M. Rock, Fyodor D. Urnov, Andrew C. Jamieson, Matthew H. Porteus, Edward J. Rebar and Nathaniel Wang. Their work appears in journals such as Cancers, Molecular Therapy, Blood, Proceedings of the National Academy of Sciences and Nature.
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.