Jane Hewitt

5.3k citations
74 papers · 4.2k indexed · 1 hit paper · h-index 33

Impact in

  • Genetics top 1%
    • Neurogenetic and Muscular Disorders Research
    • Genetics and Neurodevelopmental Disorders
    • Muscle Physiology and Disorders
    • RNA Research and Splicing
    • RNA modifications and cancer
    • Ubiquitin and proteasome pathways

Papers in

Jane Hewitt

74 papers receiving 4.1k citations

Hit Papers

Chromosome 4q DNA rearrangements associated with facioscapulohumeral muscular dystrophy 1992 · 514 citations
5141992202620032014100200300400500

Peers

Jane Hewitt
Comparison fields: 5 of 122
  • Genetics 722
  • Molecular Biology 3.7k
  • Cellular and Molecular Neuroscience 676
  • Cardiology and Cardiovascular Medicine 709
  • Cell Biology 383
Replace Françoise Fougerousse with:
Françoise Fougerousse France
Hajime Sawada Japan
Harald Jockusch Germany
Tomo Šarić Germany
Jean‐Philippe Hugnot France
Peter F. M. van der Ven Germany
Richard Bischoff United States
G.J.B. van Ommen Netherlands
Stephen J. Kaufman United States
Edgar R. Gomes Portugal
Jane Hewitt relative to Françoise Fougerousse France Françoise Fougerousse's profile →
Citations per field
00.5×1.5×2.5×
Françoise Fougerousse · 1×
Citations per year

Countries citing papers authored by Jane Hewitt

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jane Hewitt Line = papers co-authored together Jane Hewitt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20145
2 201276
3 201250
4 20123
5 20102
6 200962
7 200834
8 2007101
9 200512
10 200324
11 2000116
12 200027
13 1999281
14 199932
15 199810
16 199834
17 19934
18 199358
19 199160
20 199115

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.

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