David Mowat

10.1k citations
72 papers · 2.5k · h-index 27

Impact in

  • Genetics top 5%
    • Genomic variations and chromosomal abnormalities
    • Genetics and Neurodevelopmental Disorders
    • Muscle Physiology and Disorders
    • Mitochondrial Function and Pathology

Papers in

    • Muscle Physiology and Disorders 10
    • Renal and related cancers 5
    • RNA modifications and cancer 5
    • Congenital gastrointestinal and neural anomalies 15

David Mowat

71 papers receiving 2.5k citations

Peers

David Mowat
Comparison fields: 5 of 107
  • Genetics 551
  • Molecular Biology 1.2k
  • Surgery 591
  • Pediatrics, Perinatology and Child Health 239
  • Genetics 131
Replace Lisa Edelmann with:
Lisa Edelmann United States
Weizhen Ji United States
Sami A. Sanjad Lebanon
Edward Blair United Kingdom
Anita Farhi United States
May Christine V. Malicdan United States
Elisabetta Gazzerro Italy
Peter A. Cattini Canada
Toshiaki Monkawa Japan
Laurie H. Seaver United States
David Mowat relative to Lisa Edelmann United States Lisa Edelmann's profile →
Citations per field
00.5×2.7×
Lisa Edelmann · 1×
Citations per year

Countries citing papers authored by David Mowat

Since Specialization
Citations

This map shows the geographic impact of David Mowat'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 David Mowat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Mowat more than expected).

Fields of papers citing papers by David Mowat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Mowat. 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 David Mowat. The network helps show where David Mowat may publish in the future.

Co-authors

The 25 scholars most cited alongside David Mowat, 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 David Mowat Line = papers co-authored together David Mowat links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005251
2 1998175
3 2010157
4 2003154
5 2013105
6 2015104
7 2014102
8 2007101
9 200295
10 201470
11 200369
12 200861
13 201455
14 200854
15 201854
16 200246
17 197242
18 200741
19 201341
20 200035

About David Mowat

David Mowat is a scholar working on Molecular Biology, Surgery, Genetics, Pediatrics, Perinatology and Child Health and Physiology, having authored 72 papers that have together received 2.5k indexed citations. Recurring topics across this work include Congenital gastrointestinal and neural anomalies (15 papers), Muscle Physiology and Disorders (10 papers), Tuberous Sclerosis Complex Research (8 papers), Neurogenetic and Muscular Disorders Research (7 papers), Genomic variations and chromosomal abnormalities (6 papers), Renal and related cancers (5 papers), Prenatal Screening and Diagnostics (5 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Genetics (551 citations), Molecular Biology (1.2k citations), Surgery (591 citations), Pediatrics, Perinatology and Child Health (239 citations) and Genetics (131 citations). David Mowat has collaborated with scholars based in Australia, United States and France. Frequent co-authors include Meredith Wilson, Elizabeth E. Palmer, Michel Goossens, John A. Lawson, Bronwyn Kerr, Seán Kennedy, Michael F. Buckley, Florence Dastot‐Le Moal, Stewart Einfeld and Nicole Chia. Their work appears in journals such as Journal of Medical Genetics, Clinical Genetics, The American Journal of Human Genetics, Neuromuscular Disorders and European Journal of Medical Genetics.

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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