Christopher Dailing

711 citations
33 papers · 479 · h-index 10

Impact in

Papers in

Christopher Dailing

27 papers receiving 472 citations

Peers

Christopher Dailing
Comparison fields: 5 of 69
  • Radiology, Nuclear Medicine and Imaging 278
  • Cardiology and Cardiovascular Medicine 190
  • Surgery 227
  • Orthopedics and Sports Medicine 42
  • Health Information Management 10
Replace Georgios Benetos with:
Georgios Benetos Greece
Vivek Nuguri United States
Vahid Nabavi United States
Ole Geir Solberg Norway
Victoria Hughes United Kingdom
Woo-In Yang South Korea
Yan Yi China
Sri W. Aitken United Kingdom
Kwang Je Lee South Korea
Ryoko Mitsutake Japan
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Citations per field
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Georgios Benetos · 1×
Citations per year

Countries citing papers authored by Christopher Dailing

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Dailing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013118
2 201361
3 201560
4 201652
5 201644
6 201819
7 201819
8 202017
9 201811
10 20229
11 20209
12 20208
13 20197
14 20177
15 20196
16 20225
17 20215
18 20184
19 20174
20 20174

About Christopher Dailing

Christopher Dailing is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery, Cardiology and Cardiovascular Medicine, Biomedical Engineering and Pulmonary and Respiratory Medicine, having authored 33 papers that have together received 479 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (20 papers), Coronary Interventions and Diagnostics (9 papers), Advanced X-ray and CT Imaging (6 papers), Cardiovascular Disease and Adiposity (5 papers), Radiation Dose and Imaging (5 papers), Acute Myocardial Infarction Research (3 papers), Lipoproteins and Cardiovascular Health (3 papers) and Cerebrovascular and Carotid Artery Diseases (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (278 citations), Cardiology and Cardiovascular Medicine (190 citations), Surgery (227 citations), Orthopedics and Sports Medicine (42 citations) and Health Information Management (10 citations). Christopher Dailing has collaborated with scholars based in United States, Japan and Italy. Frequent co-authors include Matthew J. Budoff, Ferdinand Flores, Jennifer Malpeso, Irfan Zeb, Rine Nakanishi, Khurram Nasir, Dong Li, Aisha Batool, Ronald P. Karlsberg and Pieter Kitslaar. Their work appears in journals such as Atherosclerosis, Coronary Artery Disease, Journal of cardiovascular computed tomography, Journal of clinical lipidology and Journal of the American College of Cardiology.

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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