M. O'Reilly

863 citations
19 papers · 681 · h-index 10

Impact in

Papers in

    • Peroxisome Proliferator-Activated Receptors 4
    • RNA modifications and cancer 3
    • RNA Research and Splicing 3
    • Cholesterol and Lipid Metabolism 6

M. O'Reilly

19 papers receiving 671 citations

Peers

M. O'Reilly
Comparison fields: 5 of 89
  • Endocrinology, Diabetes and Metabolism 164
  • Physiology 184
  • Nutrition and Dietetics 89
  • Biological Psychiatry 13
  • Epidemiology 173
Replace Min Kim with:
Min Kim South Korea
Teemu Suna Finland
Kalhara R. Menikdiwela United States
Laia Jofre‐Monseny Germany
Franco Giulianini United States
Kyuho Kim South Korea
Tanu Soni United States
Andrea Vecchiola Chile
Ramy R. Attia United States
Teruhiko Matsushima Japan
M. O'Reilly relative to Min Kim South Korea Min Kim's profile →
Citations per field
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Min Kim · 1×
Citations per year

Countries citing papers authored by M. O'Reilly

Since Specialization
Citations

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

Fields of papers citing papers by M. O'Reilly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. O'Reilly. 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 M. O'Reilly. The network helps show where M. O'Reilly may publish in the future.

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2015233
2 201970
3 201766
4 201650
5 201748
6 201943
7 196741
8 202239
9 202031
10 201811
11 20169
12 20199
13 20228
14 20218
15 20207
16 20243
17 20223
18 20171
19 20161

About M. O'Reilly

M. O'Reilly is a scholar working on Molecular Biology, Surgery, Epidemiology, Cancer Research and Endocrinology, Diabetes and Metabolism, having authored 19 papers that have together received 681 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (6 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Atherosclerosis and Cardiovascular Diseases (4 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Fatty Acid Research and Health (4 papers), Cancer-related molecular mechanisms research (4 papers), RNA modifications and cancer (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (164 citations), Physiology (184 citations), Nutrition and Dietetics (89 citations), Biological Psychiatry (13 citations) and Epidemiology (173 citations). M. O'Reilly has collaborated with scholars based in Ireland, United States and Australia. Frequent co-authors include Fiona C. McGillicuddy, Helen M. Roche, Muredach P. Reilly, Heidi Lumish, Robyn Bruen, Orla M. Finucane, Claire L. Lyons, Aoife M. Murphy, Kanishka N. Nilaweera and Liam McAllan. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, Molecular Nutrition & Food Research, Nuclear Physics B, Journal of Pharmacology and Experimental Therapeutics and Biochemical Society Transactions.

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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