Samuel Copt

2.1k citations
41 papers · 1.2k · h-index 16

Impact in

Papers in

Samuel Copt

40 papers receiving 1.2k citations

Peers

Samuel Copt
Comparison fields: 5 of 103
  • Rheumatology 354
  • Statistics and Probability 174
  • Immunology 260
  • Radiology, Nuclear Medicine and Imaging 270
  • Reproductive Medicine 89
Replace Jamie Marko with:
Jamie Marko United States
Yuan‐Lan Huang China
Soma Mohammed Australia
Dimitri Vordos France
Michihiro Yoshida Japan
Juan Luis Alcázar Spain
Kyoungah See United States
John J. Bauer United States
Mesut Tez Türkiye
Tamera J. Lillemoe United States
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Citations per field
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Citations per year

Countries citing papers authored by Samuel Copt

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Copt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014248
2 2012230
3 2009165
4 201495
5 202055
6 201637
7 200634
8 202026
9 202125
10 201822
11 202020
12 201819
13 201719
14 201819
15 202019
16 200717
17 202015
18 201715
19 201412
20 202311

About Samuel Copt

Samuel Copt is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Statistics and Probability and Rheumatology, having authored 41 papers that have together received 1.2k indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (19 papers), Vascular Procedures and Complications (4 papers), Advanced Statistical Methods and Models (4 papers), Acute Myocardial Infarction Research (3 papers), Statistical Methods and Bayesian Inference (3 papers), Antiplatelet Therapy and Cardiovascular Diseases (3 papers), Statistical Methods and Inference (3 papers) and Systemic Lupus Erythematosus Research (3 papers). The work is most often cited by research in Rheumatology (354 citations), Statistics and Probability (174 citations), Immunology (260 citations), Radiology, Nuclear Medicine and Imaging (270 citations) and Reproductive Medicine (89 citations). Samuel Copt has collaborated with scholars based in United Kingdom, Switzerland and Spain. Frequent co-authors include Maria‐Pia Victoria‐Feser, Stéphane Héritier, Eva Cantoni, Eleanor L. Ramos, Jan Hillson, Anand Rajeswaran, Nora G. Singer, Stephen Wax, Ellen M. Ginzler and Mamas A. Mamas. Their work appears in journals such as JACC: Cardiovascular Interventions, Annals of the Rheumatic Diseases, Circulation Cardiovascular Interventions, EuroIntervention and American Heart Journal.

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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