Muredach P. Reilly
- Molecular Biology top 1%
- Cardiology and Cardiovascular Medicine top 0.2%
- Surgery top 0.5%
- Epidemiology top 0.5%
- Physiology top 0.5%
- Co-authors
- Daniel J. RaderGarret A. FitzGeraldMegan L. WolfeNehal N. MehtaJohn A. LawsonMichael LehrkeAtif QasimMitchell A. Lazar
- Topics
- Adipokines, Inflammation, and Metabolic Diseases (42 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (30 papers)Lipoproteins and Cardiovascular Health (29 papers)
- Cited by
- Cardiology and Cardiovascular MedicineEndocrine and Autonomic SystemsEndocrinology, Diabetes and Metabolism
- Partner nations
- United StatesGermanyIreland
In The Last Decade
Muredach P. Reilly
294 papers receiving 18.1k citations
Hit Papers
Peers
Comparison fields: 5 of 178
- Molecular Biology 4.9k
- Cardiology and Cardiovascular Medicine 4.2k
- Surgery 4.0k
- Epidemiology 3.8k
- Physiology 2.9k
Countries citing papers authored by Muredach P. Reilly
This map shows the geographic impact of Muredach P. 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 Muredach P. Reilly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muredach P. Reilly more than expected).
Fields of papers citing papers by Muredach P. Reilly
This network shows the impact of papers produced by Muredach P. 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 Muredach P. Reilly. The network helps show where Muredach P. Reilly may publish in the future.
Co-authorship network of co-authors of Muredach P. Reilly
This figure shows the co-authorship network connecting the top 25 collaborators of Muredach P. Reilly. A scholar is included among the top collaborators of Muredach P. Reilly 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 Muredach P. Reilly. Muredach P. Reilly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 44 | |
| 4 | 2 | |
| 5 | 35 | |
| 6 | 0 | |
| 7 | 9 | |
| 8 | 10 | |
| 9 | 7 | |
| 10 | 54 | |
| 11 | 38 | |
| 12 | 11 | |
| 13 | 3 | |
| 14 | 22 | |
| 15 | 6 | |
| 16 | 109 | |
| 17 | Mean platelet volume as a predictor of cardiovascular risk: a systematic review and meta‐analysisbreakdown → | 780 |
| 18 | 46 | |
| 19 | 273 | |
| 20 | 268 |
About Muredach P. Reilly
Muredach P. Reilly is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Cancer Research, having authored 302 papers that have together received 18.5k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (42 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (30 papers) and Lipoproteins and Cardiovascular Health (29 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (4.2k citations), Endocrine and Autonomic Systems (1.1k citations) and Endocrinology, Diabetes and Metabolism (2.5k citations). Muredach P. Reilly has collaborated with scholars based in United States, Germany and Ireland. Frequent co-authors include Daniel J. Rader, Garret A. FitzGerald, Megan L. Wolfe, Nehal N. Mehta, John A. Lawson, Michael Lehrke, Atif Qasim, Mitchell A. Lazar, Emile R. Mohler and Christine Hinkle. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Lancet.
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.