Natasha E. Weiser
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Genetics top 10%
- Genomic variations and chromosomal abnormalities
- Glioma Diagnosis and Treatment
Papers in
- Genetics 7
- Genomic variations and chromosomal abnormalities 7
-
- Cancer Genomics and Diagnostics 3
- Co-authors
- John K. Kim (2 shared papers)Howard Y. Chang (4 shared papers)King L. Hung (2 shared papers)Suhua Feng (1 shared paper)Thomas B.K. Watkins (1 shared paper)Steven E. Jacobsen (1 shared paper)Mallory Freeberg (1 shared paper)Raymond C. Chan (1 shared paper)
- Journals
- Nature (3 papers)Cancer Discovery (2 papers)Nature Cell Biology (1 paper)Annual Review of Genetics (1 paper)Developmental Cell (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Natasha E. Weiser
10 papers receiving 557 citations
Natasha E. Weiser's Hit Papers
Peers
Comparison fields: 5 of 43
- Cancer Research 214
- Genetics 270
- Aging 10
- Molecular Biology 290
- Plant Science 160
Countries citing papers authored by Natasha E. Weiser
This map shows the geographic impact of Natasha E. Weiser'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 Natasha E. Weiser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natasha E. Weiser more than expected).
Fields of papers citing papers by Natasha E. Weiser
This network shows the impact of papers produced by Natasha E. Weiser. 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 Natasha E. Weiser. The network helps show where Natasha E. Weiser may publish in the future.
Co-authors
The 25 scholars most cited alongside Natasha E. Weiser, 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 | ecDNA hubs drive cooperative intermolecular oncogene expression Hit paper breakdown → | 2021 | 226 |
| 2 | 2022 | 93 | |
| 3 | Origins and impact of extrachromosomal DNA Hit paper breakdown → | 2024 | 82 |
| 4 | 2024 | 55 | |
| 5 | 2017 | 43 | |
| 6 | 2019 | 34 | |
| 7 | 2022 | 11 | |
| 8 | 2025 | 10 | |
| 9 | 2025 | 6 | |
| 10 | 2025 | 6 |
About Natasha E. Weiser
Natasha E. Weiser is a scholar working on Genetics, Cancer Research, Molecular Biology, Plant Science and Nuclear Energy and Engineering, having authored 10 papers that have together received 566 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (7 papers), Genomics and Chromatin Dynamics (4 papers), Chromosomal and Genetic Variations (4 papers), Cancer Genomics and Diagnostics (3 papers), Epigenetics and DNA Methylation (2 papers), Chromatin Remodeling and Cancer (2 papers), RNA Interference and Gene Delivery (1 paper) and Circular RNAs in diseases (1 paper). The work is most often cited by research in Cancer Research (214 citations), Genetics (270 citations), Aging (10 citations), Molecular Biology (290 citations) and Plant Science (160 citations). Natasha E. Weiser has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include John K. Kim, Howard Y. Chang, King L. Hung, Suhua Feng, Thomas B.K. Watkins, Steven E. Jacobsen, Mallory Freeberg, Raymond C. Chan, Györgyi Csankovszki and Paul S. Mischel. Their work appears in journals such as Nature, Cancer Discovery, Nature Cell Biology, Annual Review of Genetics and Developmental Cell.
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.