Natalie E. Simpson
Impact in
-
- Cancer, Hypoxia, and Metabolism
-
- CAR-T cell therapy research
- HER2/EGFR in Cancer Research
Papers in
-
- Epigenetics and DNA Methylation 6
- Genomics and Chromatin Dynamics 4
- DNA Repair Mechanisms 2
- Histone Deacetylase Inhibitors Research 2
- RNA modifications and cancer 2
-
- Breast Cancer Treatment Studies 2
- Co-authors
- Igor P. Pogribny (4 shared papers)Frederick A. Beland (4 shared papers)Volodymyr Tryndyak (3 shared papers)Gregory David (2 shared papers)Haleh Saber (1 shared paper)John K. Leighton (1 shared paper)Ronald A. DePinho (2 shared papers)Tiffany K. Ricks (1 shared paper)
- Journals
- Clinical Cancer Research (2 papers)Cancer Research (2 papers)Regulatory Toxicology and Pharmacology (1 paper)British Journal of Haematology (1 paper)Oncogene (1 paper)
- Partner nations
- United StatesUnited KingdomThailand
In The Last Decade
Natalie E. Simpson
18 papers receiving 675 citations
Peers
Comparison fields: 5 of 84
- Cancer Research 110
- Oncology 153
- Molecular Biology 362
- Hematology 54
- Immunology 102
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-authors
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 | 2008 | 96 | |
| 2 | 2019 | 68 | |
| 3 | 2019 | 68 | |
| 4 | 2012 | 66 | |
| 5 | 2011 | 62 | |
| 6 | 2010 | 54 | |
| 7 | 2015 | 54 | |
| 8 | 2010 | 50 | |
| 9 | 2022 | 37 | |
| 10 | 1997 | 32 | |
| 11 | 2017 | 29 | |
| 12 | 2011 | 24 | |
| 13 | 2011 | 17 | |
| 14 | 2011 | 16 | |
| 15 | 2006 | 13 | |
| 16 | 2025 | 2 | |
| 17 | 2011 | 2 | |
| 18 | 2011 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Natalie E. Simpson
Natalie E. Simpson is a scholar working on Molecular Biology, Cancer Research, Oncology, Cardiology and Cardiovascular Medicine and Pharmacology, having authored 20 papers that have together received 691 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (6 papers), Genomics and Chromatin Dynamics (4 papers), DNA Repair Mechanisms (2 papers), Breast Cancer Treatment Studies (2 papers), CAR-T cell therapy research (2 papers), HER2/EGFR in Cancer Research (2 papers), Histone Deacetylase Inhibitors Research (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Cancer Research (110 citations), Oncology (153 citations), Molecular Biology (362 citations), Hematology (54 citations) and Immunology (102 citations). Natalie E. Simpson has collaborated with scholars based in United States, United Kingdom and Thailand. Frequent co-authors include Igor P. Pogribny, Frederick A. Beland, Volodymyr Tryndyak, Gregory David, Haleh Saber, John K. Leighton, Ronald A. DePinho, Tiffany K. Ricks, Kathryn B. Grandinetti and Gerald C. Chu. Their work appears in journals such as Clinical Cancer Research, Cancer Research, Regulatory Toxicology and Pharmacology, British Journal of Haematology and Oncogene.
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.