Deirdre O’Connor

32 papers receiving 643 citations

Peers

Deirdre O’Connor
Comparison fields: 5 of 101
  • Geriatrics and Gerontology 27
  • Developmental Neuroscience 26
  • Cellular and Molecular Neuroscience 108
  • Physiology 140
  • Genetics 54
Replace Guohua Zhang with:
Guohua Zhang China
Brigitte Sallerin France
Joshua P. Nederveen Canada
Kevin G. Burfeind United States
Yijun Li China
Gina Hadley United Kingdom
Giorgia Moschetti Italy
Zhiyong Dong China
Masayoshi Morozumi Japan
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Deirdre O’Connor relative to Guohua Zhang China Guohua Zhang's profile →
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Citations per year

Countries citing papers authored by Deirdre O’Connor

Since Specialization
Citations

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

Fields of papers citing papers by Deirdre O’Connor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deirdre O’Connor. 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 Deirdre O’Connor. The network helps show where Deirdre O’Connor may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201596
2 201777
3 201764
4 200751
5 201340
6 200837
7 200936
8 201833
9 202326
10 201826
11 202022
12 201917
13 202215
14 201215
15 202014
16 201614
17 201614
18 202113
19 201413
20 20198

About Deirdre O’Connor

Deirdre O’Connor is a scholar working on Molecular Biology, Physiology, Public Health, Environmental and Occupational Health, Genetics and Genetics, having authored 33 papers that have together received 666 indexed citations. Recurring topics across this work include Neurogenetic and Muscular Disorders Research (5 papers), Virus-based gene therapy research (5 papers), Folate and B Vitamins Research (5 papers), Nutrition and Health in Aging (4 papers), Nutritional Studies and Diet (4 papers), CRISPR and Genetic Engineering (3 papers), Amyotrophic Lateral Sclerosis Research (2 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). The work is most often cited by research in Geriatrics and Gerontology (27 citations), Developmental Neuroscience (26 citations), Cellular and Molecular Neuroscience (108 citations), Physiology (140 citations) and Genetics (54 citations). Deirdre O’Connor has collaborated with scholars based in Ireland, United States and United Kingdom. Frequent co-authors include Nicholas M. Boulis, Rose Anne Kenny, Éamon Laird, Aisling O’Halloran, Anne M. Molloy, Timothy O’Brien, Daniel Carey, Orion P. Keifer, Anthony Donsante and Jiajia Xue. Their work appears in journals such as Proceedings of The Nutrition Society, British Journal Of Nutrition, The Journals of Gerontology Series A, Neurosurgery and Advanced Healthcare Materials.

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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