D. Murdoch

2.2k citations
80 papers · 938 · h-index 15

Impact in

Papers in

D. Murdoch

68 papers receiving 902 citations

Peers

D. Murdoch
Comparison fields: 5 of 135
  • Cardiology and Cardiovascular Medicine 487
  • Statistics and Probability 93
  • Epidemiology 214
  • Pulmonary and Respiratory Medicine 145
  • Mathematical Physics 45
Replace Irene Hueter with:
Irene Hueter United States
Gilles R. Ducharme Canada
R. B. King United States
Cynthia J. Musante United States
Ionut Bebu United States
Marı́a Teresa Giraudo Italy
Massimo Cavallaro United Kingdom
Woojoo Lee South Korea
Lu Lin China
Yuxiao Zhang China
D. Murdoch relative to Irene Hueter United States Irene Hueter's profile →
Citations per field
00.5×3.1×
Irene Hueter · 1×
Citations per year

Countries citing papers authored by D. Murdoch

Since Specialization
Citations

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

Fields of papers citing papers by D. Murdoch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996121
2 2019108
3 199893
4 201972
5 201847
6 198342
7 201940
8 201832
9 199330
10 201920
11 201818
12 201518
13 198816
14 201915
15 199115
16 202214
17 201413
18 201813
19 198912
20 201412

About D. Murdoch

D. Murdoch is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology, Pulmonary and Respiratory Medicine, Surgery and Radiology, Nuclear Medicine and Imaging, having authored 80 papers that have together received 938 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (34 papers), Infective Endocarditis Diagnosis and Management (12 papers), Aortic Disease and Treatment Approaches (6 papers), Acute Myocardial Infarction Research (5 papers), Radiation Dose and Imaging (5 papers), Atrial Fibrillation Management and Outcomes (4 papers), Cardiac Imaging and Diagnostics (4 papers) and Carcinogens and Genotoxicity Assessment (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (487 citations), Statistics and Probability (93 citations), Epidemiology (214 citations), Pulmonary and Respiratory Medicine (145 citations) and Mathematical Physics (45 citations). D. Murdoch has collaborated with scholars based in Australia, Canada and United States. Frequent co-authors include P. J. Green, John G. Webb, David Wood, Barry Boots, D. Walters, Anson Cheung, Janarthanan Sathananthan, Jonathon Leipsic, Philipp Blanke and Mark Hensey. Their work appears in journals such as JACC: Cardiovascular Interventions, Journal of the American College of Cardiology, Canadian Journal of Cardiology, Catheterization and Cardiovascular Interventions and EuroIntervention.

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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