Stafford Grady

17 total papers · 590 total citations
15 papers, 480 citations indexed

About

Stafford Grady is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Stafford Grady has authored 15 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 6 papers in Cardiology and Cardiovascular Medicine and 3 papers in Surgery. Recurrent topics in Stafford Grady's work include Congenital Heart Disease Studies (5 papers), Cardiovascular Function and Risk Factors (3 papers) and Kawasaki Disease and Coronary Complications (3 papers). Stafford Grady is often cited by papers focused on Congenital Heart Disease Studies (5 papers), Cardiovascular Function and Risk Factors (3 papers) and Kawasaki Disease and Coronary Complications (3 papers). Stafford Grady collaborates with scholars based in United States and Canada. Stafford Grady's co-authors include Alan M. Krensky, Kenneth M. Borow, Richard H. Meade, Donald Y.M. Leung, Raif S. Geha, Richard L. Siegel, Ellis L. Reinherz, Donald Y.M. Leung, R S Geha and Robert D. Meade and has published in prestigious journals such as Circulation, Annals of Internal Medicine and The Journal of Immunology.

In The Last Decade

Stafford Grady

13 papers receiving 442 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Stafford Grady 254 226 171 93 58 15 480
Jaspal Dua 223 0.9× 243 1.1× 281 1.6× 260 2.8× 43 0.7× 16 527
Robert J. Szarnicki 228 0.9× 193 0.9× 227 1.3× 174 1.9× 40 0.7× 20 495
Alexa N. Hogarty 196 0.8× 312 1.4× 204 1.2× 96 1.0× 68 1.2× 9 551
Christine A. Capone 330 1.3× 108 0.5× 134 0.8× 48 0.5× 95 1.6× 22 514
Jun Furui 286 1.1× 259 1.1× 349 2.0× 138 1.5× 39 0.7× 15 499
Himmet Dajee 243 1.0× 112 0.5× 149 0.9× 106 1.1× 56 1.0× 20 464
Masahiko Kishiro 269 1.1× 207 0.9× 241 1.4× 156 1.7× 42 0.7× 26 462
Stephanie L. Siehr 233 0.9× 163 0.7× 186 1.1× 191 2.1× 51 0.9× 16 473
A. Achkar 308 1.2× 57 0.3× 157 0.9× 49 0.5× 27 0.5× 25 522
J W Newburger 335 1.3× 71 0.3× 212 1.2× 40 0.4× 41 0.7× 14 480

Countries citing papers authored by Stafford Grady

Since Specialization
Citations

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

Fields of papers citing papers by Stafford Grady

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stafford Grady

This figure shows the co-authorship network connecting the top 25 collaborators of Stafford Grady. A scholar is included among the top collaborators of Stafford Grady 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 Stafford Grady. Stafford Grady is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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