Gabrielle Norrish

1.5k citations
29 papers · 405 · h-index 10

Impact in

Papers in

Gabrielle Norrish

28 papers receiving 394 citations

Peers

Gabrielle Norrish
Comparison fields: 5 of 46
  • Cardiology and Cardiovascular Medicine 361
  • Developmental Neuroscience 30
  • Epidemiology 113
  • Molecular Biology 112
  • Immunology 22
Replace Ella Field with:
Ella Field United Kingdom
Dar‐San Hwang Taiwan
Massimo Baldi Italy
Charlotte Andreasen Denmark
Maria Ilina United Kingdom
Johanna C. Moolman South Africa
Manuel Penas-Lado Spain
María José Oliva‐Sandoval Spain
Nobuhiko Hitomi Japan
Verena Gravenhorst Germany
Gabrielle Norrish relative to Ella Field United Kingdom Ella Field's profile →
Citations per field
00.5×2.8×
Ella Field · 1×
Citations per year

Countries citing papers authored by Gabrielle Norrish

Since Specialization
Citations

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

Fields of papers citing papers by Gabrielle Norrish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202093
2 201875
3 201773
4 201948
5 202114
6 201812
7 202110
8 20239
9 20219
10 20219
11 20199
12 20167
13 20185
14 20225
15 20244
16 20224
17 20183
18 20242
19 20182
20 20182

About Gabrielle Norrish

Gabrielle Norrish is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology, Molecular Biology, Pulmonary and Respiratory Medicine and Cellular and Molecular Neuroscience, having authored 29 papers that have together received 405 indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (23 papers), Congenital Heart Disease Studies (14 papers), Cardiovascular Function and Risk Factors (5 papers), Cardiovascular Effects of Exercise (4 papers), Cardiac Arrhythmias and Treatments (4 papers), Coronary Artery Anomalies (4 papers), Congenital heart defects research (3 papers) and Williams Syndrome Research (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (361 citations), Developmental Neuroscience (30 citations), Epidemiology (113 citations), Molecular Biology (112 citations) and Immunology (22 citations). Gabrielle Norrish has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Juan Pablo Kaski, Perry Elliott, Ella Field, Marcos Cicerchia, Juan Pablo Ochoa, Giuseppe Limongelli, Luís R. Lopes, Petros Syrris, Nicoletta Cantarutti and Deborah Ridout. Their work appears in journals such as European Heart Journal, Circulation Genomic and Precision Medicine, Frontiers in Pediatrics, Journal of Medical Genetics and Archives of Disease in Childhood.

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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