Veronica McInerney

1.3k citations
27 papers · 214 · h-index 6

Impact in

    • Mesenchymal stem cell research
    • Genetics and Neurodevelopmental Disorders
    • Genomic variations and chromosomal abnormalities
    • Pluripotent Stem Cells Research
    • CRISPR and Genetic Engineering
    • Congenital heart defects research

Papers in

Veronica McInerney

23 papers receiving 213 citations

Peers

Veronica McInerney
Comparison fields: 5 of 71
  • Genetics 31
  • Molecular Biology 116
  • Cellular and Molecular Neuroscience 28
  • Epidemiology 53
  • Genetics 42
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Weiyi Mu United States
Isabella Borg Malta
Yuan Jia-qin China
H.R. Arvinda India
Eric Toyota Canada
A. Utani Japan
Elke Hobbiebrunken Germany
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Alison Male United Kingdom
Jan-Maarten Cobben Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Veronica McInerney

Since Specialization
Citations

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

Fields of papers citing papers by Veronica McInerney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201675
2 201852
3 202026
4 201713
5 20189
6 20196
7 20194
8 20194
9 20243
10 20203
11 20203
12 20222
13 20202
14 20152
15 20192
16 20191
17 20211
18 20201
19 20201
20 20231

About Veronica McInerney

Veronica McInerney is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Surgery and Genetics, having authored 27 papers that have together received 214 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (8 papers), Neuroscience and Neural Engineering (6 papers), CRISPR and Genetic Engineering (6 papers), Cardiac electrophysiology and arrhythmias (6 papers), Autism Spectrum Disorder Research (3 papers), Diabetic Foot Ulcer Assessment and Management (3 papers), Ion channel regulation and function (3 papers) and Palliative Care and End-of-Life Issues (3 papers). The work is most often cited by research in Genetics (31 citations), Molecular Biology (116 citations), Cellular and Molecular Neuroscience (28 citations), Epidemiology (53 citations) and Genetics (42 citations). Veronica McInerney has collaborated with scholars based in Ireland, China and Australia. Frequent co-authors include Janusz Krawczyk, Sanbing Shen, Timothy O’Brien, Frank Barry, Tilo Kunath, Kerry Thompson, Amaya García-Muñoz, Areechun Sotthibundhu, Peter Dockery and Alex von Kriegsheim. Their work appears in journals such as Stem Cell Research, Cytotherapy, Journal of Clinical Oncology, Breast Cancer Research and Treatment and Journal of the American Heart Association.

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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