Donal Ryan

1.5k citations
6 papers · 128 · h-index 5

Impact in

Papers in

Donal Ryan

5 papers receiving 125 citations

Peers

Donal Ryan
Comparison fields: 5 of 46
  • Pulmonary and Respiratory Medicine 86
  • Critical Care and Intensive Care Medicine 13
  • Emergency Medicine 16
  • Endocrine and Autonomic Systems 11
  • Internal Medicine 4
Replace Stefano Gianni with:
Stefano Gianni Italy
Raffaele Di Fenza United States
Nicolas Mayeur France
Amira Benattia France
A.J. Gangemi United States
Renee M. Potera United States
Ching Kit Chen Singapore
Duncan Hite United States
Nikhil Huprikar United States
Hilde M. Norum Norway
Donal Ryan relative to Stefano Gianni Italy Stefano Gianni's profile →
Citations per field
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Citations per year

Countries citing papers authored by Donal Ryan

Since Specialization
Citations

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

Fields of papers citing papers by Donal Ryan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Donal Ryan, 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 Donal Ryan Line = papers co-authored together Donal Ryan links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 201463
2 201240
3 201110
4 20139
5
Discrepancies between clinical and autopsy diagnosis in liver transplant recipients - a case series.
20136
6 20220

About Donal Ryan

Donal Ryan is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Endocrine and Autonomic Systems, Epidemiology and Public Health, Environmental and Occupational Health, having authored 6 papers that have together received 128 indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (3 papers), Pulmonary Hypertension Research and Treatments (3 papers), Liver Disease and Transplantation (1 paper), Organ Donation and Transplantation (1 paper), Neuroscience of respiration and sleep (1 paper), Cystic Fibrosis Research Advances (1 paper), Cancer, Hypoxia, and Metabolism (1 paper) and Autopsy Techniques and Outcomes (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (86 citations), Critical Care and Intensive Care Medicine (13 citations), Emergency Medicine (16 citations), Endocrine and Autonomic Systems (11 citations) and Internal Medicine (4 citations). Donal Ryan has collaborated with scholars based in Ireland and United States. Frequent co-authors include Paul McLoughlin, Stephen Fröhlich, Simon C. Rowan, Michelle Sands, Katherine Howell, Edwina Cahill, M Fitzgerald, T. P. Crotty, Roisín Neary and Lili Li. Their work appears in journals such as PLoS ONE, Annals of Intensive Care, Experimental Physiology, International Journal of Surgery Open and Continuing Education in Anaesthesia Critical Care & Pain.

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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