Katherine E. Savell
Impact in
Papers in ⓘ
-
- CRISPR and Genetic Engineering 3
- RNA and protein synthesis mechanisms 2
- Genomics and Chromatin Dynamics 2
- Epigenetics and DNA Methylation 2
- RNA Research and Splicing 2
- Single-cell and spatial transcriptomics 1
- 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)Corey G. Duke (3 shared papers)Jennifer J. Tuscher (3 shared papers)Morgan E. Zipperly (2 shared papers)Robert A. Phillips (3 shared papers)Jasmin S. Revanna (3 shared papers)
- Journals
- eNeuro (2 papers)Journal of Biological Chemistry (1 paper)Cell Reports (1 paper)Nature Communications (1 paper)Science Advances (1 paper)
- Partner nations
- United States
In The Last Decade
Katherine E. Savell
9 papers receiving 474 citations
Peers
Comparison fields: 5 of 69
- Aging 17
- Developmental Neuroscience 32
- Cellular and Molecular Neuroscience 113
- Molecular Biology 364
- 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 | 105 | |
| 2 | 2019 | 97 | |
| 3 | 2016 | 92 | |
| 4 | 2020 | 76 | |
| 5 | 2016 | 39 | |
| 6 | Applications of CRISPR/Cas9 in the Mammalian Central Nervous System. | 2017 | 28 |
| 7 | 2021 | 16 | |
| 8 | 2019 | 14 | |
| 9 | 2019 | 10 | |
| 10 | 2019 | 0 |
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 477 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (3 papers), RNA and protein synthesis mechanisms (2 papers), Genomics and Chromatin Dynamics (2 papers), Epigenetics and DNA Methylation (2 papers), RNA Research and Splicing (2 papers), Cancer-related molecular mechanisms research (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Aging (17 citations), Developmental Neuroscience (32 citations), Cellular and Molecular Neuroscience (113 citations), Molecular Biology (364 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, Corey G. Duke, Jennifer J. Tuscher, Morgan E. Zipperly, Robert A. Phillips, Jasmin S. Revanna, J. David Sweatt and Svitlana V. Bach. Their work appears in journals such as eNeuro, Journal of Biological Chemistry, Cell Reports, Nature Communications and Science Advances.
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.