Gabrielle Norrish

81 total papers · 1.5k total citations
29 papers, 395 citations indexed

About

Gabrielle Norrish is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Molecular Biology. According to data from OpenAlex, Gabrielle Norrish has authored 29 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cardiology and Cardiovascular Medicine, 16 papers in Epidemiology and 8 papers in Molecular Biology. Recurrent topics in Gabrielle Norrish's work include Cardiomyopathy and Myosin Studies (23 papers), Congenital Heart Disease Studies (14 papers) and Cardiovascular Function and Risk Factors (5 papers). Gabrielle Norrish is often cited by papers focused on Cardiomyopathy and Myosin Studies (23 papers), Congenital Heart Disease Studies (14 papers) and Cardiovascular Function and Risk Factors (5 papers). Gabrielle Norrish collaborates with scholars based in United Kingdom, Spain and United States. Gabrielle Norrish's co-authors include Juan Pablo Kaski, Ella Field, Perry Elliott, Marcos Cicerchia, Juan Pablo Ochoa, Giuseppe Limongelli, Nicoletta Cantarutti, Luís R. Lopes, Deborah Ridout and Petros Syrris and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Gabrielle Norrish

27 papers receiving 384 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Gabrielle Norrish	352	111	110	30	29	29	395
Ella Field	322 0.9×	85 0.8×	106 1.0×	29 1.0×	28 1.0×	34	357
H. Shono	326 0.9×	48 0.4×	126 1.1×	16 0.5×	28 1.0×	20	420
Chris Semsarian	267 0.8×	37 0.3×	122 1.1×	5 0.2×	37 1.3×	24	393
Federica Verrillo	224 0.6×	69 0.6×	133 1.2×	7 0.2×	32 1.1×	39	370
L Rossi	220 0.6×	55 0.5×	35 0.3×	18 0.6×	113 3.9×	18	418
Keijiro Ibuki	263 0.7×	104 0.9×	206 1.9×	10 0.3×	89 3.1×	31	410
Immanuel I. Turner	230 0.7×	45 0.4×	222 2.0×	9 0.3×	75 2.6×	20	433
Samantha Barratt Ross	325 0.9×	35 0.3×	210 1.9×	30 1.0×	33 1.1×	24	403
Augusto Esposito	257 0.7×	86 0.8×	106 1.0×	4 0.1×	48 1.7×	30	365
Annapaola Cirillo	250 0.7×	90 0.8×	117 1.1×	3 0.1×	45 1.6×	40	359

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-authorship network of co-authors of Gabrielle Norrish

This figure shows the co-authorship network connecting the top 25 collaborators of Gabrielle Norrish. A scholar is included among the top collaborators of Gabrielle Norrish based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gabrielle Norrish. Gabrielle Norrish is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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