Natasha E. Weiser
Impact in
- Aging top 10%
- Genetics, Aging, and Longevity in Model Organisms
-
- CRISPR and Genetic Engineering
- Epigenetics and DNA Methylation
- RNA Research and Splicing
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
Papers in
-
- CRISPR and Genetic Engineering 3
- Epigenetics and DNA Methylation 1
- Heme Oxygenase-1 and Carbon Monoxide 1
-
- Cancer Genomics and Diagnostics 3
- Co-authors
- John K. Kim (2 shared papers)Sam Guoping Gu (1 shared paper)Steven E. Jacobsen (1 shared paper)Mallory Freeberg (1 shared paper)Kristen C. Brown (1 shared paper)Natallia Kalinava (1 shared paper)Györgyi Csankovszki (1 shared paper)Raymond C. Chan (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Developmental Cell (1 paper)Nature Cell Biology (1 paper)Annual Review of Genetics (1 paper)Pediatric Research (1 paper)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Natasha E. Weiser
7 papers receiving 121 citations
Peers
Comparison fields: 5 of 37
- Aging 34
- Molecular Biology 84
- Genetics 21
- Parasitology 4
- Endocrine and Autonomic Systems 3
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 | 32 | |
| 3 | 2019 | 28 | |
| 4 | 2024 | 6 | |
| 5 | 2025 | 5 | |
| 6 | 2025 | 4 | |
| 7 | 2025 | 2 |
About Natasha E. Weiser
Natasha E. Weiser is a scholar working on Molecular Biology, Cancer Research, Aging, Plant Science and Applied Psychology, having authored 7 papers that have together received 122 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (3 papers), CRISPR and Genetic Engineering (3 papers), Chromosomal and Genetic Variations (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Genomics and Rare Diseases (1 paper), Epigenetics and DNA Methylation (1 paper), Heme Oxygenase-1 and Carbon Monoxide (1 paper) and Erythropoietin and Anemia Treatment (1 paper). The work is most often cited by research in Aging (34 citations), Molecular Biology (84 citations), Genetics (21 citations), Parasitology (4 citations) and Endocrine and Autonomic Systems (3 citations). Natasha E. Weiser has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include John K. Kim, Sam Guoping Gu, Steven E. Jacobsen, Mallory Freeberg, Kristen C. Brown, Natallia Kalinava, Györgyi Csankovszki, Raymond C. Chan, Suhua Feng and Taiowa A. Montgomery. Their work appears in journals such as Proceedings of the National Academy of Sciences, Developmental Cell, Nature Cell Biology, Annual Review of Genetics and Pediatric Research.
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.