Natalie E. Simpson
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- Cancer, Hypoxia, and Metabolism 2
- Breast Cancer Treatment Studies 2
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- CAR-T cell therapy research 2
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- Epigenetics and DNA Methylation 6
- Genomics and Chromatin Dynamics 4
- RNA modifications and cancer 3
- DNA Repair Mechanisms 2
- Histone Deacetylase Inhibitors Research 2
- Co-authors
- Igor P. PogribnyFrederick A. BelandVolodymyr TryndyakRonald A. DePinhoGregory DavidKathryn B. GrandinettiGerald C. ChuJohn K. Leighton
- Journals
- Clinical Cancer Research (2 papers)Cancer Research (2 papers)British Journal of Haematology (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Natalie E. Simpson
18 papers receiving 636 citations
Peers
Comparison fields: 5 of 84
- Cancer Research 123
- Oncology 169
- Molecular Biology 376
- Hematology 58
- Immunology 106
Countries citing papers authored by Natalie E. Simpson
This map shows the geographic impact of Natalie E. Simpson'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 Natalie E. Simpson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalie E. Simpson more than expected).
Fields of papers citing papers by Natalie E. Simpson
This network shows the impact of papers produced by Natalie E. Simpson. 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 Natalie E. Simpson. The network helps show where Natalie E. Simpson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Natalie E. Simpson, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2022 | 34 | |
| 4 | 2019 | 65 | |
| 5 | 2019 | 61 | |
| 6 | 2017 | 23 | |
| 7 | 2015 | 47 | |
| 8 | 2012 | 60 | |
| 9 | 2011 | 24 | |
| 10 | 2011 | 61 | |
| 11 | 2011 | 16 | |
| 12 | 2011 | 2 | |
| 13 | 2011 | 1 | |
| 14 | 2011 | 16 | |
| 15 | 2010 | 48 | |
| 16 | 2010 | 53 | |
| 17 | 2008 | 93 | |
| 18 | 2006 | 13 | |
| 19 | 1997 | 31 |
About Natalie E. Simpson
Natalie E. Simpson is a scholar working on Cancer Research, Oncology, Molecular Biology, Pharmacology and Dermatology, having authored 19 papers that have together received 649 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (6 papers), Genomics and Chromatin Dynamics (4 papers), RNA modifications and cancer (3 papers), DNA Repair Mechanisms (2 papers), CAR-T cell therapy research (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Breast Cancer Treatment Studies (2 papers) and Histone Deacetylase Inhibitors Research (2 papers). The work is most often cited by research in Cancer Research (123 citations), Oncology (169 citations), Molecular Biology (376 citations), Hematology (58 citations) and Immunology (106 citations). Natalie E. Simpson has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Igor P. Pogribny, Frederick A. Beland, Volodymyr Tryndyak, Ronald A. DePinho, Gregory David, Kathryn B. Grandinetti, Gerald C. Chu, John K. Leighton, Haleh Saber and Tiffany K. Ricks. Their work appears in journals such as Clinical Cancer Research, Cancer Research, British Journal of Haematology, Nature Reviews Drug Discovery and Annals of Oncology.
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.