Curtis E. Green

1.5k citations
36 papers · 1.1k · h-index 15

Impact in

Papers in

Curtis E. Green

35 papers receiving 1.0k citations

Peers

Curtis E. Green
Comparison fields: 5 of 86
  • Cardiology and Cardiovascular Medicine 709
  • Radiology, Nuclear Medicine and Imaging 296
  • Endocrinology, Diabetes and Metabolism 191
  • Surgery 458
  • Internal Medicine 23
Replace Allen B. Nichols with:
Allen B. Nichols United States
Takahisa Sawada Japan
Colin D. Chue United Kingdom
Satyendra Giri United States
B. W. Lytle United States
Shigeo Kawano Japan
Peter Stubbs United Kingdom
John Kanakakis Greece
Jordi Sanchez Dahl Denmark
Tracey Steedman United Kingdom
Curtis E. Green relative to Allen B. Nichols United States Allen B. Nichols's profile →
Citations per field
00.5×2.7×
Allen B. Nichols · 1×
Citations per year

Countries citing papers authored by Curtis E. Green

Since Specialization
Citations

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

Fields of papers citing papers by Curtis E. Green

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Curtis E. Green. 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 Curtis E. Green. The network helps show where Curtis E. Green may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002178
2 1986174
3 1992134
4 198080
5 199158
6 198852
7 198651
8 199149
9 198047
10 198638
11 198735
12 198633
13 198422
14 198616
15 198114
16 198714
17 198112
18 198110
19 19888
20 20018

About Curtis E. Green

Curtis E. Green is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, Pulmonary and Respiratory Medicine and Epidemiology, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (14 papers), Coronary Interventions and Diagnostics (9 papers), Cardiac Structural Anomalies and Repair (5 papers), Acute Myocardial Infarction Research (5 papers), Coronary Artery Anomalies (4 papers), Cardiac, Anesthesia and Surgical Outcomes (4 papers), Congenital Heart Disease Studies (4 papers) and Cardiac Valve Diseases and Treatments (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (709 citations), Radiology, Nuclear Medicine and Imaging (296 citations), Endocrinology, Diabetes and Metabolism (191 citations), Surgery (458 citations) and Internal Medicine (23 citations). Curtis E. Green has collaborated with scholars based in United States. Frequent co-authors include Charles E. Rackley, Kathleen Reagan, Kenneth M. Kent, David L. Pearle, Lowell F. Satler, Mun K. Hong, Mary L. Grebenc, Jeffrey R. Galvin, Allen Burke and Melissa L. Rosado-de-Christenson. Their work appears in journals such as The American Journal of Cardiology, American Heart Journal, Investigative Radiology, Journal of the American College of Cardiology and Radiologic Clinics of North America.

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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