Michael A. O’Reilly

117 papers receiving 4.5k citations

Peers

Michael A. O’Reilly
Comparison fields: 5 of 119
  • Pulmonary and Respiratory Medicine 1.8k
  • Endocrine and Autonomic Systems 367
  • Cancer Research 528
  • Molecular Biology 2.1k
  • Oncology 611
Replace Rory E. Morty with:
Rory E. Morty Germany
Gurmukh Singh United States
Carlos Lopes Portugal
Ross Summer United States
Frank Rose Germany
Susan H. Guttentag United States
Michael F. Beers United States
Stephan W. Glasser United States
J. A. Whitsett United States
Stuart Horowitz United States
Michael A. O’Reilly relative to Rory E. Morty Germany Rory E. Morty's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michael A. O’Reilly

Since Specialization
Citations

This map shows the geographic impact of Michael A. 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 Michael A. 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 Michael A. O’Reilly more than expected).

Fields of papers citing papers by Michael A. O’Reilly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 119 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992225
2 1993178
3 2004157
4 1993150
5 2013126
6 2006118
7 2001112
8 2004109
9 2009104
10 2001101
11 1998100
12 201196
13 200895
14 198890
15 200489
16 201382
17 200879
18 199178
19 199376
20 200464

About Michael A. O’Reilly

Michael A. O’Reilly is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Surgery and Cancer Research, having authored 119 papers that have together received 4.5k indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (54 papers), Congenital Diaphragmatic Hernia Studies (22 papers), Cancer-related Molecular Pathways (19 papers), Epigenetics and DNA Methylation (16 papers), Cancer, Hypoxia, and Metabolism (14 papers), Respiratory Support and Mechanisms (13 papers), DNA Repair Mechanisms (11 papers) and TGF-β signaling in diseases (10 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (1.8k citations), Endocrine and Autonomic Systems (367 citations), Cancer Research (528 citations), Molecular Biology (2.1k citations) and Oncology (611 citations). Michael A. O’Reilly has collaborated with scholars based in United States, United Kingdom and Thailand. Frequent co-authors include Min Yee, Rhonda J. Staversky, Peter C. Keng, Jacob N. Finkelstein, Bradley W. Buczynski, Richard H. Watkins, William M. Maniscalco, Sharon A. McGrath‐Morrow, B. Paige Lawrence and Christopher E. Helt. Their work appears in journals such as American Journal of Physiology-Lung Cellular and Molecular Physiology, American Journal of Respiratory Cell and Molecular Biology, American Journal Of Pathology, Free Radical Biology and Medicine and Experimental Lung Research.

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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