Nathan Lee
Impact in
- Cancer Research top 10%
- Molecular Biology top 10%
- CRISPR and Genetic Engineering
- Angiogenesis and VEGF in Cancer
- Pluripotent Stem Cells Research
- Advanced biosensing and bioanalysis techniques
Papers in
-
- CRISPR and Genetic Engineering 13
- Genomics and Chromatin Dynamics 5
- RNA Interference and Gene Delivery 4
- Oncology 11
- Colorectal Cancer Treatments and Studies 4
- Co-authors
- Vladimir Larionov (16 shared papers)Natalay Kouprina (16 shared papers)Simon A. Gayther (4 shared papers)Kate Lawrenson (4 shared papers)M. Luisa Iruela‐Arispe (3 shared papers)Yvonne G. Lin (2 shared papers)Paulette Mhawech‐Fauceglia (2 shared papers)Alfonso Luque (1 shared paper)
- Journals
- Cancer Research (6 papers)Nucleic Acids Research (5 papers)Oncotarget (3 papers)World Neurosurgery (3 papers)The Journal of Comparative Neurology (2 papers)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Nathan Lee
68 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 123
- Cancer Research 250
- Molecular Biology 870
- Rehabilitation 67
- Oncology 251
- Cell Biology 145
Countries citing papers authored by Nathan Lee
This map shows the geographic impact of Nathan 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 Nathan Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Lee more than expected).
Fields of papers citing papers by Nathan Lee
This network shows the impact of papers produced by Nathan 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 Nathan Lee. The network helps show where Nathan Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Nathan 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 260 | |
| 2 | 2015 | 110 | |
| 3 | 2016 | 107 | |
| 4 | 2004 | 101 | |
| 5 | 2019 | 89 | |
| 6 | 2010 | 80 | |
| 7 | 2005 | 65 | |
| 8 | 2019 | 59 | |
| 9 | 2016 | 59 | |
| 10 | 2019 | 48 | |
| 11 | 2007 | 47 | |
| 12 | 2013 | 45 | |
| 13 | 2016 | 43 | |
| 14 | 2013 | 36 | |
| 15 | 2016 | 36 | |
| 16 | 2020 | 35 | |
| 17 | 2014 | 33 | |
| 18 | 2007 | 32 | |
| 19 | 2015 | 28 | |
| 20 | 2016 | 27 |
About Nathan Lee
Nathan Lee is a scholar working on Molecular Biology, Oncology, Cancer Research, Genetics and Surgery, having authored 76 papers that have together received 1.8k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (13 papers), Chromosomal and Genetic Variations (6 papers), Cancer Genomics and Diagnostics (5 papers), Genomics and Chromatin Dynamics (5 papers), RNA Interference and Gene Delivery (4 papers), Colorectal Cancer Treatments and Studies (4 papers), Adipose Tissue and Metabolism (4 papers) and Scoliosis diagnosis and treatment (4 papers). The work is most often cited by research in Cancer Research (250 citations), Molecular Biology (870 citations), Rehabilitation (67 citations), Oncology (251 citations) and Cell Biology (145 citations). Nathan Lee has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Vladimir Larionov, Natalay Kouprina, Simon A. Gayther, Kate Lawrenson, M. Luisa Iruela‐Arispe, Yvonne G. Lin, Paulette Mhawech‐Fauceglia, Alfonso Luque, Rajan Saini and Kelly H. Liu. Their work appears in journals such as Cancer Research, Nucleic Acids Research, Oncotarget, World Neurosurgery and The Journal of Comparative Neurology.
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.