Danielle Byrne

619 citations
25 papers · 418 · h-index 12

Impact in

Papers in

Danielle Byrne

25 papers receiving 404 citations

Peers

Danielle Byrne
Comparison fields: 5 of 69
  • Health 38
  • General Health Professions 89
  • Health Informatics 4
  • Surgery 80
  • General Dentistry 3
Replace Jun Suh Lee with:
Jun Suh Lee South Korea
Rajiv N. Srinivasa United States
Abhishek Chaturvedi United States
Stephanie G. Worrell United States
Patrick Betschart Switzerland
Sabeen Dhand United States
Ziad Mansour France
Ryan J. Groll Canada
Marcella Calfon Press United States
Yune Kwong United Kingdom
Danielle Byrne relative to Jun Suh Lee South Korea Jun Suh Lee's profile →
Citations per field
00.5×1.5×
Jun Suh Lee · 1×
Citations per year

Countries citing papers authored by Danielle Byrne

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Byrne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017133
2 202033
3 200729
4 202028
5 201126
6 201725
7 202023
8 201119
9 201518
10 202113
11 202011
12 202111
13 20199
14 20206
15 20175
16 20175
17 20194
18 20164
19 20174
20 20213

About Danielle Byrne

Danielle Byrne is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology, Surgery, Biomedical Engineering and Neurology, having authored 25 papers that have together received 418 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (5 papers), Cerebrovascular and Carotid Artery Diseases (4 papers), Advanced X-ray and CT Imaging (3 papers), Sarcoma Diagnosis and Treatment (2 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers), Soft tissue tumors and treatment (1 paper), Renal and Vascular Pathologies (1 paper) and Management of metastatic bone disease (1 paper). The work is most often cited by research in Health (38 citations), General Health Professions (89 citations), Health Informatics (4 citations), Surgery (80 citations) and General Dentistry (3 citations). Danielle Byrne has collaborated with scholars based in Ireland, Canada and United States. Frequent co-authors include Joseph F. Baker, Elizabeth Cassidy, May Cleary, J. Tristan Cassidy, Brian M. Devitt, John Walsh, Kevin Mulhall, J. Colville, Hannan Mullett and Eoin C. Kavanagh. Their work appears in journals such as American Journal of Neuroradiology, Knee Surgery Sports Traumatology Arthroscopy, Neuroradiology, Emergency Radiology and Osteoarthritis and Cartilage.

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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