Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Prognostic Value of Multidetector Coronary Computed Tomographic Angiography for Prediction of All-Cause Mortality
2007712 citationsJames K. Min, Leslee J. Shaw et al.Journal of the American College of Cardiologyprofile →
Identification of Patients at Increased Risk of First Unheralded Acute Myocardial Infarction by Electron-Beam Computed Tomography
2000631 citationsPaolo Raggi, Tracy Q. Callister et al.Circulationprofile →
Coronary artery disease: improved reproducibility of calcium scoring with an electron-beam CT volumetric method.
1998588 citationsTracy Q. Callister, Bruce Cooil et al.Radiologyprofile →
Effect of HMG-CoA Reductase Inhibitors on Coronary Artery Disease as Assessed by Electron-Beam Computed Tomography
1998538 citationsTracy Q. Callister, Paolo Raggi et al.New England Journal of Medicineprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Donald J. Russo
Since
Specialization
Citations
This map shows the geographic impact of Donald J. Russo'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 Donald J. Russo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donald J. Russo more than expected).
This network shows the impact of papers produced by Donald J. Russo. 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 Donald J. Russo. The network helps show where Donald J. Russo may publish in the future.
Co-authorship network of co-authors of Donald J. Russo
This figure shows the co-authorship network connecting the top 25 collaborators of Donald J. Russo.
A scholar is included among the top collaborators of Donald J. Russo 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 Donald J. Russo. Donald J. Russo is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
8 of 8 papers shown
1.
Min, James K., Leslee J. Shaw, Richard B. Devereux, et al.. (2007). Prognostic Value of Multidetector Coronary Computed Tomographic Angiography for Prediction of All-Cause Mortality. Journal of the American College of Cardiology. 50(12). 1161–1170.712 indexed citations breakdown →
Raggi, Paolo, Tracy Q. Callister, Bruce Cooil, et al.. (2000). Identification of Patients at Increased Risk of First Unheralded Acute Myocardial Infarction by Electron-Beam Computed Tomography. Circulation. 101(8). 850–855.631 indexed citations breakdown →
5.
Callister, Tracy Q., Paolo Raggi, Bruce Cooil, Nicholas J. Lippolis, & Donald J. Russo. (1998). Effect of HMG-CoA Reductase Inhibitors on Coronary Artery Disease as Assessed by Electron-Beam Computed Tomography. New England Journal of Medicine. 339(27). 1972–1978.538 indexed citations breakdown →
6.
Callister, Tracy Q., et al.. (1998). Coronary artery disease: improved reproducibility of calcium scoring with an electron-beam CT volumetric method.. Radiology. 208(3). 807–814.588 indexed citations breakdown →
7.
Zaja, Francesco, Donald J. Russo, F Silvestri, et al.. (1996). Computed tomography, magnetic resonance and gallium 67 scintigraphy for the imaging of residual lymphoma.. PubMed. 80(6). 569–71.3 indexed citations
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.