Janice Ure
Impact in
- Genetics top 2%
- Neurogenetic and Muscular Disorders Research
- Animal Genetics and Reproduction
- Molecular Biology top 10%
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- RNA modifications and cancer
- RNA Research and Splicing
- Renal and related cancers
Papers in
-
- Hematopoietic Stem Cell Transplantation 3
- Acute Myeloid Leukemia Research 1
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- Zebrafish Biomedical Research Applications 4
- Co-authors
- Austin Smith (3 shared papers)Rudolf Götz (1 shared paper)Klaus V. Toyka (1 shared paper)Michael Sendtner (1 shared paper)Bertold Schrank (1 shared paper)John Hall (1 shared paper)Qi-Long Ying (1 shared paper)Jian Yang (1 shared paper)
- Journals
- Frontiers in Immunology (1 paper)Cell (1 paper)Stem Cells (1 paper)Trends in Genetics (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United KingdomGermanyChina
In The Last Decade
Janice Ure
9 papers receiving 1.3k citations
Janice Ure's Hit Papers
Peers
Comparison fields: 5 of 60
- Genetics 506
- Molecular Biology 1.1k
- Cell Biology 132
- Genetics 216
- Hematology 76
Countries citing papers authored by Janice Ure
This map shows the geographic impact of Janice Ure'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 Janice Ure with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janice Ure more than expected).
Fields of papers citing papers by Janice Ure
This network shows the impact of papers produced by Janice Ure. 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 Janice Ure. The network helps show where Janice Ure may publish in the future.
Co-authors
The 25 scholars most cited alongside Janice Ure, 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 | Capture of Authentic Embryonic Stem Cells from Rat Blastocysts Hit paper breakdown → | 2008 | 578 |
| 2 | Inactivation of the survival motor neuron gene, a candidate gene for human spinal muscular atrophy, leads to massive cell death in early mouse embryos Hit paper breakdown → | 1997 | 519 |
| 3 | 2005 | 106 | |
| 4 | 2009 | 36 | |
| 5 | 1992 | 21 | |
| 6 | 2006 | 20 | |
| 7 | 2006 | 18 | |
| 8 | 2023 | 14 | |
| 9 | 1976 | 13 |
About Janice Ure
Janice Ure is a scholar working on Hematology, Cell Biology, Molecular Biology, Immunology and Pulmonary and Respiratory Medicine, having authored 9 papers that have together received 1.3k indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (4 papers), Hematopoietic Stem Cell Transplantation (3 papers), Pluripotent Stem Cells Research (2 papers), Neonatal Respiratory Health Research (2 papers), CRISPR and Genetic Engineering (2 papers), Acute Myeloid Leukemia Research (1 paper), Childhood Cancer Survivors' Quality of Life (1 paper) and Neurogenetic and Muscular Disorders Research (1 paper). The work is most often cited by research in Genetics (506 citations), Molecular Biology (1.1k citations), Cell Biology (132 citations), Genetics (216 citations) and Hematology (76 citations). Janice Ure has collaborated with scholars based in United Kingdom, Germany and China. Frequent co-authors include Austin Smith, Rudolf Götz, Klaus V. Toyka, Michael Sendtner, Bertold Schrank, John Hall, Qi-Long Ying, Jian Yang, Mia Buehr and José Silva. Their work appears in journals such as Frontiers in Immunology, Cell, Stem Cells, Trends in Genetics and Proceedings of the National Academy of Sciences.
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.