Natasha E. Weiser
Impact in
- Aging top 10%
- Genetics, Aging, and Longevity in Model Organisms
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- CRISPR and Genetic Engineering
- Epigenetics and DNA Methylation
- RNA Research and Splicing
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
Papers in
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- CRISPR and Genetic Engineering 3
- Epigenetics and DNA Methylation 2
- Single-cell and spatial transcriptomics 1
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- Cancer Genomics and Diagnostics 4
- Co-authors
- John K. Kim (2 shared papers)Györgyi Csankovszki (1 shared paper)Natallia Kalinava (1 shared paper)Taiowa A. Montgomery (1 shared paper)Mallory Freeberg (1 shared paper)Sam Guoping Gu (1 shared paper)Suhua Feng (1 shared paper)Kristen C. Brown (1 shared paper)
- Journals
- Developmental Cell (1 paper)Nature Cell Biology (1 paper)Proceedings of the National Academy of Sciences (1 paper)Pediatric Research (1 paper)Annual Review of Genetics (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Natasha E. Weiser
7 papers receiving 110 citations
Peers
Comparison fields: 5 of 36
- Aging 33
- Molecular Biology 82
- Genetics 22
- Parasitology 4
- Cancer Research 7
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 | 2017 | 45 | |
| 2 | 2019 | 29 | |
| 3 | 2019 | 25 | |
| 4 | 2024 | 6 | |
| 5 | 2025 | 2 | |
| 6 | 2025 | 2 | |
| 7 | 2025 | 2 |
About Natasha E. Weiser
Natasha E. Weiser is a scholar working on Molecular Biology, Cancer Research, Aging, Plant Science and Pathology and Forensic Medicine, having authored 7 papers that have together received 111 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (4 papers), CRISPR and Genetic Engineering (3 papers), Epigenetics and DNA Methylation (2 papers), Chromosomal and Genetic Variations (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Single-cell and spatial transcriptomics (1 paper), Genomics and Rare Diseases (1 paper) and Genetic factors in colorectal cancer (1 paper). The work is most often cited by research in Aging (33 citations), Molecular Biology (82 citations), Genetics (22 citations), Parasitology (4 citations) and Cancer Research (7 citations). Natasha E. Weiser has collaborated with scholars based in United States and Germany. Frequent co-authors include John K. Kim, Györgyi Csankovszki, Natallia Kalinava, Taiowa A. Montgomery, Mallory Freeberg, Sam Guoping Gu, Suhua Feng, Kristen C. Brown, Raymond C. Chan and Steven E. Jacobsen. Their work appears in journals such as Developmental Cell, Nature Cell Biology, Proceedings of the National Academy of Sciences, Pediatric Research and Annual Review of Genetics.
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.