Victoria McEneaney

18 total papers · 656 total citations
14 papers, 358 citations indexed

About

Victoria McEneaney is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Victoria McEneaney has authored 14 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Pulmonary and Respiratory Medicine and 7 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Victoria McEneaney's work include Ion Transport and Channel Regulation (8 papers), Hormonal Regulation and Hypertension (7 papers) and Electrolyte and hormonal disorders (5 papers). Victoria McEneaney is often cited by papers focused on Ion Transport and Channel Regulation (8 papers), Hormonal Regulation and Hypertension (7 papers) and Electrolyte and hormonal disorders (5 papers). Victoria McEneaney collaborates with scholars based in Ireland, United States and United Kingdom. Victoria McEneaney's co-authors include Warren Thomas, Brian J. Harvey, John O’Leary, Ruth Dooley, Martin Clynes, Sandra Roche, Britta Stordal, Jean‐Pierre Gillet, Michael M. Gottesman and Eleanor J. Molloy and has published in prestigious journals such as PLoS ONE, Molecular Endocrinology and Developmental Medicine & Child Neurology.

In The Last Decade

Victoria McEneaney

14 papers receiving 355 citations

Author Peers

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

Author Last Decade Papers Cites
Victoria McEneaney 216 154 94 67 46 14 358
Holger Leitolf 161 0.7× 77 0.5× 58 0.6× 64 1.0× 24 0.5× 21 391
John F. Hennessy 95 0.4× 203 1.3× 47 0.5× 49 0.7× 66 1.4× 11 361
Letizia Casula 228 1.1× 51 0.3× 74 0.8× 35 0.5× 21 0.5× 15 401
Flor Á. Ordóñez 164 0.8× 47 0.3× 47 0.5× 47 0.7× 47 1.0× 16 378
André Sarmento‐Cabral 196 0.9× 103 0.7× 39 0.4× 40 0.6× 39 0.8× 23 380
Courtney Dugas 167 0.8× 114 0.7× 41 0.4× 65 1.0× 26 0.6× 13 363
Margaret L. Shumate 103 0.5× 134 0.9× 32 0.3× 43 0.6× 48 1.0× 18 397
Véronique Cazals 174 0.8× 98 0.6× 154 1.6× 62 0.9× 79 1.7× 9 386
Cuixia Gao 152 0.7× 153 1.0× 50 0.5× 35 0.5× 27 0.6× 19 362
Annelies De Maré 162 0.8× 50 0.3× 39 0.4× 45 0.7× 50 1.1× 9 399

Countries citing papers authored by Victoria McEneaney

Since Specialization
Citations

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

Fields of papers citing papers by Victoria McEneaney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Victoria McEneaney

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