Leslee J. Shaw

5 papers receiving 535 citations

Hit Papers

Implications of Coronary Artery Calcium Testing Among Sta...20152026201820222015100200300

Peers

Leslee J. Shaw
Comparison fields: 5 of 45
  • Cardiology and Cardiovascular Medicine 383
  • Radiology, Nuclear Medicine and Imaging 327
  • Surgery 316
  • Pulmonary and Respiratory Medicine 98
  • Biomedical Engineering 73
Replace Vanessa Moore with:
Vanessa Moore Australia
Pryor Db United States
Pedro Sílvio Farsky Brazil
Jason Cole United States
Salim Adawi Israel
Marleen van Wely Netherlands
Kaleb Lee United States
Genell L. Knatterud United States
Yeung Yam Canada
Lillian Ding Canada
Leslee J. Shaw relative to Vanessa Moore Australia Vanessa Moore's profile →
Citations per field
00.5×2.9×
Vanessa Moore · 1×
Citations per year

Countries citing papers authored by Leslee J. Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Leslee J. Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leslee J. Shaw. 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 Leslee J. Shaw. The network helps show where Leslee J. Shaw may publish in the future.

Co-authorship network of co-authors of Leslee J. Shaw

This figure shows the co-authorship network connecting the top 25 collaborators of Leslee J. Shaw. A scholar is included among the top collaborators of Leslee J. Shaw based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Leslee J. Shaw. Leslee J. Shaw is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
#WorkIndexed citations
1 0
2
Implications of Coronary Artery Calcium Testing Among Statin Candidates According to American College of Cardiology/American Heart Association Cholesterol Management Guidelinesbreakdown →
308
3
Updated risk adjustment mortality model using the complete 1.1 dataset from the American College of Cardiology National Cardiovascular Data Registry (ACC-NCDR).
31
4 34
5 150
6 37

About Leslee J. Shaw

Leslee J. Shaw is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 6 papers that have together received 560 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (5 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers) and Cardiovascular Function and Risk Factors (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (383 citations), Radiology, Nuclear Medicine and Imaging (327 citations) and Surgery (316 citations). Leslee J. Shaw has collaborated with scholars based in United States and Brazil. Frequent co-authors include D.Douglas Miller, B.J. Gersh, Ron Blankstein, Matthew J. Budoff, Juan J. Rivera, Khurram Nasir, Harlan M. Krumholz, Márcio Sommer Bittencourt, Michael D. Miedema and Michael J. Blaha. Their work appears in journals such as Journal of the American College of Cardiology, American Heart Journal and Journal of Cardiac Failure.

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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