Jane Hewitt
Impact in
- Genetics top 1%
- Neurogenetic and Muscular Disorders Research
- Genetics and Neurodevelopmental Disorders
- Molecular Biology top 2%
- Muscle Physiology and Disorders
- RNA Research and Splicing
- RNA modifications and cancer
- Ubiquitin and proteasome pathways
Papers in
- Cell Biology 16
- Co-authors
- Prabhjit K. GrewalRune R. FrantsGeorge W. PadbergLorraine N. ClarkGert‐Jan B. van OmmenTracy J. WrightCisca WijmengaRobert Williamson
- Journals
- Human Molecular Genetics (8 papers)Genomics (8 papers)Gene (7 papers)Mammalian Genome (4 papers)Neuromuscular Disorders (3 papers)
- Partner nations
- United KingdomNetherlandsUnited States
In The Last Decade
Jane Hewitt
74 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Genetics 722
- Molecular Biology 3.7k
- Cellular and Molecular Neuroscience 676
- Cardiology and Cardiovascular Medicine 709
- Cell Biology 383
Countries citing papers authored by Jane Hewitt
This map shows the geographic impact of Jane Hewitt'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 Hewitt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane Hewitt more than expected).
Fields of papers citing papers by Jane Hewitt
This network shows the impact of papers produced by Jane Hewitt. 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 Hewitt. The network helps show where Jane Hewitt may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jane Hewitt, 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 | 2014 | 5 | |
| 2 | 2012 | 76 | |
| 3 | 2012 | 50 | |
| 4 | 2012 | 3 | |
| 5 | 2010 | 2 | |
| 6 | 2009 | 62 | |
| 7 | 2008 | 34 | |
| 8 | 2007 | 101 | |
| 9 | 2005 | 12 | |
| 10 | 2003 | 24 | |
| 11 | 2000 | 116 | |
| 12 | 2000 | 27 | |
| 13 | 1999 | 281 | |
| 14 | 1999 | 32 | |
| 15 | 1998 | 10 | |
| 16 | 1998 | 34 | |
| 17 | 1993 | 4 | |
| 18 | 1993 | 58 | |
| 19 | 1991 | 60 | |
| 20 | 1991 | 15 |
About Jane Hewitt
Jane Hewitt is a scholar working on Structural Biology, Cell Biology, Molecular Biology, Cellular and Molecular Neuroscience and Genetics, having authored 74 papers that have together received 4.2k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (44 papers), RNA Research and Splicing (19 papers), Genetic Neurodegenerative Diseases (13 papers), Ubiquitin and proteasome pathways (10 papers), RNA modifications and cancer (9 papers), Neurogenetic and Muscular Disorders Research (7 papers), Cardiomyopathy and Myosin Studies (5 papers) and Pancreatic function and diabetes (5 papers). The work is most often cited by research in Genetics (722 citations), Molecular Biology (3.7k citations), Cellular and Molecular Neuroscience (676 citations), Cardiology and Cardiovascular Medicine (709 citations) and Cell Biology (383 citations). Jane Hewitt has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include Prabhjit K. Grewal, Rune R. Frants, George W. Padberg, Lorraine N. Clark, Gert‐Jan B. van Ommen, Tracy J. Wright, Cisca Wijmenga, Robert Williamson, Marten H. Hofker and Robert Lyle. Their work appears in journals such as Human Molecular Genetics, Genomics, Gene, Mammalian Genome and Neuromuscular Disorders.
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.