Enda Noone

13 total papers · 1.1k total citations
10 papers, 873 citations indexed

About

Enda Noone is a scholar working on Nutrition and Dietetics, Biochemistry and Surgery. According to data from OpenAlex, Enda Noone has authored 10 papers receiving a total of 873 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Nutrition and Dietetics, 6 papers in Biochemistry and 4 papers in Surgery. Recurrent topics in Enda Noone's work include Fatty Acid Research and Health (7 papers), Eicosanoids and Hypertension Pharmacology (4 papers) and Peroxisome Proliferator-Activated Receptors (4 papers). Enda Noone is often cited by papers focused on Fatty Acid Research and Health (7 papers), Eicosanoids and Hypertension Pharmacology (4 papers) and Peroxisome Proliferator-Activated Receptors (4 papers). Enda Noone collaborates with scholars based in Ireland and Spain. Enda Noone's co-authors include Helen M. Roche, Michael J. Gibney, Anne P. Nugent, Christine E. Loscher, Bernard B. Allan, Fiona Moloney, Sinéad Toomey, Stephen O’Rahilly, Antonio Vidal‐Puig and Ciaran Sewter and has published in prestigious journals such as Diabetes, British Journal Of Nutrition and European Journal of Clinical Nutrition.

In The Last Decade

Enda Noone

10 papers receiving 849 citations

Author Peers

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

Author Last Decade Papers Cites
Enda Noone 598 248 235 209 175 10 873
Sabine Tricon 704 1.2× 244 1.0× 175 0.7× 216 1.0× 201 1.1× 12 958
Amanda E. Jones 606 1.0× 233 0.9× 197 0.8× 124 0.6× 277 1.6× 15 1.1k
Inge Mohede 589 1.0× 184 0.7× 188 0.8× 133 0.6× 147 0.8× 10 802
Priscilla Ivester 471 0.8× 260 1.0× 270 1.1× 98 0.5× 194 1.1× 21 936
Ann P. Tighe 473 0.8× 183 0.7× 232 1.0× 188 0.9× 168 1.0× 11 976
S N Meydani 478 0.8× 151 0.6× 181 0.8× 187 0.9× 215 1.2× 10 954
Catherine E. Roynette 434 0.7× 185 0.7× 160 0.7× 123 0.6× 283 1.6× 9 866
Perla C. Schmidt 550 0.9× 243 1.0× 144 0.6× 172 0.8× 143 0.8× 15 754
Eric Ah-Sing 347 0.6× 155 0.6× 247 1.1× 283 1.4× 143 0.8× 15 953
Jennifer A. Williams 663 1.1× 223 0.9× 127 0.5× 183 0.9× 114 0.7× 8 920

Countries citing papers authored by Enda Noone

Since Specialization
Citations

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

Fields of papers citing papers by Enda Noone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Enda Noone

This figure shows the co-authorship network connecting the top 25 collaborators of Enda Noone. A scholar is included among the top collaborators of Enda Noone 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 Enda Noone. Enda Noone 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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