Nathan Lee

65 papers receiving 2.7k citations

Nathan Lee's Hit Papers

PF-06463922, an ALK/ROS1 Inhibitor, Overcomes Resistance to First and Second Generation ALK Inhibitors in Preclinical Models 2015 · 399 citations
3990+3+7Years since publication100200300

Peers

Nathan Lee
Comparison fields: 5 of 123
  • Reproductive Medicine 233
  • Pulmonary and Respiratory Medicine 505
  • Genetics 434
  • Cancer Research 200
  • Cell Biology 147
Replace Takeshi Kurita with:
Takeshi Kurita United States
Mónica Schiappacassi Italy
Pieter In 'T Veld Belgium
Zongbing You United States
Stacy Wister Blain United States
Xin Yuan United States
Sabine Hombach‐Klonisch Canada
Brenda Lynn Coomber Canada
Rakesh Kumar India
Sébastien Gingras United States
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Citations per year

Countries citing papers authored by Nathan Lee

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Nathan Lee Line = papers co-authored together Nathan Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1
PF-06463922, an ALK/ROS1 Inhibitor, Overcomes Resistance to First and Second Generation ALK Inhibitors in Preclinical Models
Hit paper breakdown →
2015399
2 2013299
3 2013267
4 2021145
5 2016111
6 2015108
7 2004100
8 201397
9 201991
10 201085
11 200562
12 201659
13 201957
14 201950
15 200747
16 201345
17 201644
18 201637
19 202036
20 201334

About Nathan Lee

Nathan Lee is a scholar working on Genetics, Reproductive Medicine, Molecular Biology, Cell Biology and Surgery, having authored 71 papers that have together received 2.7k indexed citations. Recurring topics across this work include Virus-based gene therapy research (7 papers), CRISPR and Genetic Engineering (6 papers), Ovarian cancer diagnosis and treatment (5 papers), Microtubule and mitosis dynamics (4 papers), Adipose Tissue and Metabolism (4 papers), Scoliosis diagnosis and treatment (4 papers), Genomics and Chromatin Dynamics (3 papers) and Animal Genetics and Reproduction (3 papers). The work is most often cited by research in Reproductive Medicine (233 citations), Pulmonary and Respiratory Medicine (505 citations), Genetics (434 citations), Cancer Research (200 citations) and Cell Biology (147 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, Paulette Y. Mhawech-Fauceglia, Yvonne Gail Lin, Alfonso Luque, William R. Brown and Catherine Fang-Yeu Poh. Their work appears in journals such as Nucleic Acids Research, Oncotarget, World Neurosurgery, Investigative Ophthalmology & Visual Science and Spine Deformity.

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.

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