Katherine E. Savell
Impact in
Papers in
-
- CRISPR and Genetic Engineering 3
- Epigenetics and DNA Methylation 2
- Genomics and Chromatin Dynamics 2
- RNA Research and Splicing 2
- RNA and protein synthesis mechanisms 2
- Aging 2
- Genetics, Aging, and Longevity in Model Organisms 2
- Co-authors
- Jeremy J. Day (10 shared papers)Faraz Sultan (5 shared papers)Lara Ianov (3 shared papers)Jennifer J. Tuscher (3 shared papers)Corey G. Duke (3 shared papers)Robert A. Phillips (3 shared papers)Jasmin S. Revanna (3 shared papers)Morgan E. Zipperly (2 shared papers)
- Journals
- eNeuro (2 papers)Cell Reports (1 paper)European Neuropsychopharmacology (1 paper)Nucleic Acids Research (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United States
In The Last Decade
Katherine E. Savell
10 papers receiving 502 citations
Peers
Comparison fields: 5 of 67
- Aging 17
- Developmental Neuroscience 29
- Cellular and Molecular Neuroscience 111
- Molecular Biology 369
- Biological Psychiatry 11
Countries citing papers authored by Katherine E. Savell
This map shows the geographic impact of Katherine E. Savell'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 Katherine E. Savell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katherine E. Savell more than expected).
Fields of papers citing papers by Katherine E. Savell
This network shows the impact of papers produced by Katherine E. Savell. 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 Katherine E. Savell. The network helps show where Katherine E. Savell may publish in the future.
Co-authors
The 25 scholars most cited alongside Katherine E. Savell, 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 | 2020 | 110 | |
| 2 | 2019 | 100 | |
| 3 | 2016 | 97 | |
| 4 | 2020 | 83 | |
| 5 | 2016 | 43 | |
| 6 | Applications of CRISPR/Cas9 in the Mammalian Central Nervous System. | 2017 | 30 |
| 7 | 2021 | 18 | |
| 8 | 2019 | 14 | |
| 9 | 2019 | 10 | |
| 10 | 2019 | 1 |
About Katherine E. Savell
Katherine E. Savell is a scholar working on Molecular Biology, Aging, Cancer Research, Cellular and Molecular Neuroscience and Neurology, having authored 10 papers that have together received 506 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (3 papers), Epigenetics and DNA Methylation (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Genomics and Chromatin Dynamics (2 papers), Cancer-related molecular mechanisms research (2 papers), RNA Research and Splicing (2 papers), RNA and protein synthesis mechanisms (2 papers) and Circadian rhythm and melatonin (1 paper). The work is most often cited by research in Aging (17 citations), Developmental Neuroscience (29 citations), Cellular and Molecular Neuroscience (111 citations), Molecular Biology (369 citations) and Biological Psychiatry (11 citations). Katherine E. Savell has collaborated with scholars based in United States. Frequent co-authors include Jeremy J. Day, Faraz Sultan, Lara Ianov, Jennifer J. Tuscher, Corey G. Duke, Robert A. Phillips, Jasmin S. Revanna, Morgan E. Zipperly, J. David Sweatt and Svitlana V. Bach. Their work appears in journals such as eNeuro, Cell Reports, European Neuropsychopharmacology, Nucleic Acids Research and Journal of Biological Chemistry.
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.