Jane Savill
Impact in
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- Genetic Neurodegenerative Diseases
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- Mitochondrial Function and Pathology
- DNA Repair Mechanisms
- CRISPR and Genetic Engineering
- Muscle Physiology and Disorders
Papers in
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- DNA Repair Mechanisms 3
- CRISPR and Genetic Engineering 3
- Nuclear Structure and Function 2
- RNA Research and Splicing 2
- Peroxisome Proliferator-Activated Receptors 1
- Mitochondrial Function and Pathology 1
- Genetics 2
- BRCA gene mutations in cancer 2
- Co-authors
- Michael R. Hayden (3 shared papers)Ashok R. Venkitaraman (4 shared papers)Roshni R. Singaraja (2 shared papers)Cheryl L. Wellington (2 shared papers)Nancy A. Thornberry (1 shared paper)Elena Cattaneo (1 shared paper)Dale E. Bredesen (1 shared paper)Alan H. Sharp (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)Molecular Cell (1 paper)Nucleic Acids Research (1 paper)Proceedings of the National Academy of Sciences (1 paper)Nature Structural & Molecular Biology (1 paper)
- Partner nations
- United KingdomCanadaUnited States
In The Last Decade
Jane Savill
8 papers receiving 678 citations
Peers
Comparison fields: 5 of 57
- Cellular and Molecular Neuroscience 244
- Molecular Biology 559
- Neurology 91
- Oncology 124
- Cell Biology 59
Countries citing papers authored by Jane Savill
This map shows the geographic impact of Jane Savill'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 Jane Savill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane Savill more than expected).
Fields of papers citing papers by Jane Savill
This network shows the impact of papers produced by Jane Savill. 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 Jane Savill. The network helps show where Jane Savill may publish in the future.
Co-authors
The 25 scholars most cited alongside Jane Savill, 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 | 2000 | 289 | |
| 2 | 2002 | 110 | |
| 3 | 2013 | 75 | |
| 4 | 2006 | 66 | |
| 5 | 2013 | 65 | |
| 6 | 2009 | 56 | |
| 7 | 2011 | 25 | |
| 8 | Are you READY?: Diversity and Religious Education across Europe | 2018 | 1 |
About Jane Savill
Jane Savill is a scholar working on Molecular Biology, Genetics, Surgery, Cellular and Molecular Neuroscience and Neurology, having authored 8 papers that have together received 687 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (3 papers), CRISPR and Genetic Engineering (3 papers), BRCA gene mutations in cancer (2 papers), Nuclear Structure and Function (2 papers), RNA Research and Splicing (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Neurological disorders and treatments (1 paper) and Mitochondrial Function and Pathology (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (244 citations), Molecular Biology (559 citations), Neurology (91 citations), Oncology (124 citations) and Cell Biology (59 citations). Jane Savill has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Michael R. Hayden, Ashok R. Venkitaraman, Roshni R. Singaraja, Cheryl L. Wellington, Nancy A. Thornberry, Elena Cattaneo, Dale E. Bredesen, Alan H. Sharp, Donald W. Nicholson and Lisa Ellerby. Their work appears in journals such as Journal of Biological Chemistry, Molecular Cell, Nucleic Acids Research, Proceedings of the National Academy of Sciences and Nature Structural & Molecular Biology.
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.