Nathan A. Pack

461 total citations
8 papers, 338 citations indexed

About

Nathan A. Pack is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Molecular Biology. According to data from OpenAlex, Nathan A. Pack has authored 8 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Cardiology and Cardiovascular Medicine and 1 paper in Molecular Biology. Recurrent topics in Nathan A. Pack's work include Cardiac Imaging and Diagnostics (6 papers), Advanced MRI Techniques and Applications (6 papers) and Medical Imaging Techniques and Applications (5 papers). Nathan A. Pack is often cited by papers focused on Cardiac Imaging and Diagnostics (6 papers), Advanced MRI Techniques and Applications (6 papers) and Medical Imaging Techniques and Applications (5 papers). Nathan A. Pack collaborates with scholars based in United States and Australia. Nathan A. Pack's co-authors include Edward DiBella, Richard V. Williams, Jason T. Su, C. Todd Sower, Michael D. Puchalski, William Gottliebson, Christopher McGann, Jeffrey A. Weiss, Alexander I. Veress and E.V.R. Di Bella and has published in prestigious journals such as Magnetic Resonance in Medicine, Medical Image Analysis and Magnetic Resonance Imaging.

In The Last Decade

Nathan A. Pack

8 papers receiving 334 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nathan A. Pack United States 7 214 167 88 68 21 8 338
Joni L. Taylor United States 8 334 1.6× 158 0.9× 43 0.5× 92 1.4× 48 2.3× 8 452
Samuel W. Fielden United States 9 160 0.7× 74 0.4× 11 0.1× 62 0.9× 11 0.5× 24 232
Robert Fair United States 4 208 1.0× 183 1.1× 14 0.2× 36 0.5× 26 1.2× 6 307
Raymond Kwong United States 4 240 1.1× 145 0.9× 30 0.3× 67 1.0× 35 1.7× 9 313
Robert A. de Kemp Canada 6 98 0.5× 175 1.0× 30 0.3× 56 0.8× 50 2.4× 10 340
Shiow Jiuan Lin United States 6 196 0.9× 324 1.9× 63 0.7× 21 0.3× 35 1.7× 11 377
Edyta Błaszczyk Germany 11 212 1.0× 284 1.7× 45 0.5× 20 0.3× 32 1.5× 32 387
S. Schenke Germany 7 83 0.4× 74 0.4× 87 1.0× 55 0.8× 85 4.0× 10 334
Paul C. Zei United States 21 198 0.9× 1.3k 7.5× 47 0.5× 55 0.8× 107 5.1× 104 1.4k
Orazio Zoccarato Italy 10 242 1.1× 67 0.4× 8 0.1× 80 1.2× 36 1.7× 24 263

Countries citing papers authored by Nathan A. Pack

Since Specialization
Citations

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

Fields of papers citing papers by Nathan A. Pack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathan A. Pack. 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 Nathan A. Pack. The network helps show where Nathan A. Pack may publish in the future.

Co-authorship network of co-authors of Nathan A. Pack

This figure shows the co-authorship network connecting the top 25 collaborators of Nathan A. Pack. A scholar is included among the top collaborators of Nathan A. Pack 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 Nathan A. Pack. Nathan A. Pack 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.
DiBella, Edward, Jacob U. Fluckiger, Liyong Chen, et al.. (2011). The effect of obesity on regadenoson-induced myocardial hyperemia: a quantitative magnetic resonance imaging study. International journal of cardiac imaging. 28(6). 1435–1444. 27 indexed citations
2.
Pack, Nathan A. & Edward DiBella. (2010). Comparison of myocardial perfusion estimates from dynamic contrast‐enhanced magnetic resonance imaging with four quantitative analysis methods. Magnetic Resonance in Medicine. 64(1). 125–137. 58 indexed citations
3.
Kim, Tae Ho, Nathan A. Pack, Liyong Chen, & Edward DiBella. (2010). Quantification of myocardial perfusion using CMR with a radial data acquisition: comparison with a dual-bolus method. Journal of Cardiovascular Magnetic Resonance. 12(1). 45–45. 23 indexed citations
4.
Kim, Tae Ho, Nathan A. Pack, Liyong Chen, & Edward DiBella. (2010). Quantification of myocardial perfusion MRI using radial data acquisition: comparison of Ktrans from dual-bolus and T1 estimation methods. Journal of Cardiovascular Magnetic Resonance. 12(S1). 2 indexed citations
5.
Maas, Steve A., et al.. (2008). Strain measurement in the left ventricle during systole with deformable image registration. Medical Image Analysis. 13(2). 354–361. 56 indexed citations
6.
Pack, Nathan A., Edward DiBella, Brent D. Wilson, & Christopher McGann. (2008). Quantitative myocardial distribution volume from dynamic contrast-enhanced MRI. Magnetic Resonance Imaging. 26(4). 532–542. 22 indexed citations
7.
Pack, Nathan A., Edward DiBella, Thomas Rust, et al.. (2008). Estimating myocardial perfusion from dynamic contrast-enhanced CMR with a model-independent deconvolution method. Journal of Cardiovascular Magnetic Resonance. 10(1). 52–52. 36 indexed citations
8.
Puchalski, Michael D., Richard V. Williams, C. Todd Sower, et al.. (2008). Late gadolinium enhancement: precursor to cardiomyopathy in Duchenne muscular dystrophy?. International journal of cardiac imaging. 25(1). 57–63. 114 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.

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