Jane Ellison
Impact in
- Physiology top 5%
- Lysosomal Storage Disorders Research
- Calcium signaling and nucleotide metabolism
- Cell Biology top 10%
- Cellular transport and secretion
Papers in
-
- RNA regulation and disease 2
- Genetics, Bioinformatics, and Biomedical Research 1
-
- Cancer Genomics and Diagnostics 1
- Co-authors
- William J. Pavan (4 shared papers)Stacie K. Loftus (1 shared paper)Anthony Brown (1 shared paper)Kousaku Ohno (1 shared paper)Peter G. Pentchev (1 shared paper)Jessie Gu (1 shared paper)Eugene D. Carstea (1 shared paper)Melissa A. Rosenfeld (1 shared paper)
- Journals
- Mammalian Genome (2 papers)Journal of Bacteriology (2 papers)Journal of Nutrition (1 paper)Science (1 paper)Journal of General Virology (1 paper)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Jane Ellison
11 papers receiving 919 citations
Jane Ellison's Hit Papers
Peers
Comparison fields: 5 of 81
- Physiology 84
- Physiology 438
- Cell Biology 153
- Virology 28
- Molecular Biology 416
Countries citing papers authored by Jane Ellison
This map shows the geographic impact of Jane Ellison'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 Ellison with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane Ellison more than expected).
Fields of papers citing papers by Jane Ellison
This network shows the impact of papers produced by Jane Ellison. 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 Ellison. The network helps show where Jane Ellison may publish in the future.
Co-authors
The 25 scholars most cited alongside Jane Ellison, 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 | Murine Model of Niemann-Pick C Disease: Mutation in a Cholesterol Homeostasis Gene Hit paper breakdown → | 1997 | 670 |
| 2 | 1999 | 127 | |
| 3 | Efficacy of fluorescence-based PCR-SSCP for detection of point mutations. | 1993 | 35 |
| 4 | 1970 | 30 | |
| 5 | 1970 | 26 | |
| 6 | 1998 | 16 | |
| 7 | 1968 | 15 | |
| 8 | 1971 | 9 | |
| 9 | 1999 | 9 | |
| 10 | Detection of mutations and polymorphisms using fluorescence-based dideoxy fingerprinting (F-ddF). | 1994 | 6 |
| 11 | 1996 | 3 |
About Jane Ellison
Jane Ellison is a scholar working on Molecular Biology, Cancer Research, Ecology, Cell Biology and Physiology, having authored 11 papers that have together received 946 indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (2 papers), RNA regulation and disease (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper), Genetics, Bioinformatics, and Biomedical Research (1 paper), Muscle metabolism and nutrition (1 paper), Streptococcal Infections and Treatments (1 paper), Digestive system and related health (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Physiology (84 citations), Physiology (438 citations), Cell Biology (153 citations), Virology (28 citations) and Molecular Biology (416 citations). Jane Ellison has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include William J. Pavan, Stacie K. Loftus, Anthony Brown, Kousaku Ohno, Peter G. Pentchev, Jessie Gu, Eugene D. Carstea, Melissa A. Rosenfeld, Danilo A. Tagle and Jill A. Morris. Their work appears in journals such as Mammalian Genome, Journal of Bacteriology, Journal of Nutrition, Science and Journal of General Virology.
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.