Bryan MacDonald

607 citations
30 papers · 238 · h-index 11

Impact in

Papers in

Bryan MacDonald

26 papers receiving 235 citations

Peers

Bryan MacDonald
Comparison fields: 5 of 32
  • Cardiology and Cardiovascular Medicine 201
  • Internal Medicine 4
  • Emergency Medicine 9
  • Virology 3
  • Nephrology 4
Replace Angel Mayedo with:
Angel Mayedo United States
Ekrem Üçer Germany
Hauke Hund Germany
Nicolas Schaerli Switzerland
Syed Ahsan United Kingdom
Giovanna Geraci Italy
Guillaume Taldir France
Stefania Sacchi Italy
P Lopes Portugal
Davor Puljević Croatia
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Citations per field
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Angel Mayedo · 1×
Citations per year

Countries citing papers authored by Bryan MacDonald

Since Specialization
Citations

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

Fields of papers citing papers by Bryan MacDonald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201928
2 202318
3 202117
4 202317
5 202215
6 202113
7 202412
8 202312
9 201910
10 202110
11 202010
12 20219
13 20219
14 20199
15 20208
16 20237
17 20206
18 20216
19 20205
20 20224

About Bryan MacDonald

Bryan MacDonald is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Surgery, Molecular Biology and Gastroenterology, having authored 30 papers that have together received 238 indexed citations. Recurring topics across this work include Atrial Fibrillation Management and Outcomes (19 papers), Cardiac Arrhythmias and Treatments (12 papers), Cardiac electrophysiology and arrhythmias (5 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (1 paper), Cerebrovascular and Carotid Artery Diseases (1 paper), Tracheal and airway disorders (1 paper), Microbial Inactivation Methods (1 paper) and Gastroesophageal reflux and treatments (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (201 citations), Internal Medicine (4 citations), Emergency Medicine (9 citations), Virology (3 citations) and Nephrology (4 citations). Bryan MacDonald has collaborated with scholars based in United States, Italy and Türkiye. Frequent co-authors include Sanghamitra Mohanty, Andrea Natale, Carola Gianni, Domenico G. Della Rocca, Amin Al‐Ahmad, Luigi Di Biase, Rodney Horton, Angel Mayedo, Chintan Trivedi and Mohamed Bassiouny. Their work appears in journals such as Journal of Cardiovascular Electrophysiology, JACC. Clinical electrophysiology, Heart Rhythm, Pacing and Clinical Electrophysiology and Journal of the American Heart Association.

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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