Sofia Shames

774 citations
14 papers · 511 · 1 hit paper · h-index 10

Impact in

Papers in

Sofia Shames

14 papers receiving 498 citations

Sofia Shames's Hit Papers

Detecting structural heart disease from electrocardiograms using AI 2025 · 40 citations
400Years since publication10203040

Peers

Sofia Shames
Comparison fields: 5 of 53
  • Cardiology and Cardiovascular Medicine 174
  • Emergency Medicine 52
  • Biomedical Engineering 172
  • Surgery 127
  • Nephrology 19
Replace Nodir Madrahimov with:
Nodir Madrahimov Germany
Andrew M. Vekstein United States
Michel Raineri Haddad Canada
Kyle William Riggs United States
Romualdo J. Segurola United States
C. Paré Spain
Yoshifuma Naka United States
Luigi Cappannoli Italy
Kelsi A. Lindblad United States
Daniela Riggio Italy
Sofia Shames relative to Nodir Madrahimov Germany Nodir Madrahimov's profile →
Citations per field
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Nodir Madrahimov · 1×
Citations per year

Countries citing papers authored by Sofia Shames

Since Specialization
Citations

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

Fields of papers citing papers by Sofia Shames

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2014168
2 202174
3 200549
4 201242
5
Detecting structural heart disease from electrocardiograms using AI
Hit paper breakdown →
202540
6 202335
7 201931
8 202018
9 201615
10 201412
11 201310
12 20199
13 20215
14 20233

About Sofia Shames

Sofia Shames is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Molecular Medicine, Genetics and Pulmonary and Respiratory Medicine, having authored 14 papers that have together received 511 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (4 papers), Cardiac Imaging and Diagnostics (4 papers), Cardiac Valve Diseases and Treatments (4 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (2 papers), Mechanical Circulatory Support Devices (2 papers), Peptidase Inhibition and Analysis (1 paper), Protein Kinase Regulation and GTPase Signaling (1 paper) and Cardiovascular Effects of Exercise (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (174 citations), Emergency Medicine (52 citations), Biomedical Engineering (172 citations), Surgery (127 citations) and Nephrology (19 citations). Sofia Shames has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Rebecca Tung Hahn, Linda D. Gillam, Zhezhen Jin, James W. Coulton, Peter D. Pawelek, Sophie Jones, Jason J. Han, Nir Y. Uriel, Paolo Colombo and Yoshifumi Naka. Their work appears in journals such as JAMA Cardiology, Blood, Journal of the American Heart Association, Journal of the American Society of Echocardiography and Journal of Biological Chemistry.

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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