Bonnie Mack

8 total papers · 808 total citations
6 papers, 641 citations indexed

About

Bonnie Mack is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Statistics and Probability. According to data from OpenAlex, Bonnie Mack has authored 6 papers receiving a total of 641 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pulmonary and Respiratory Medicine, 2 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Statistics and Probability. Recurrent topics in Bonnie Mack's work include Prostate Cancer Diagnosis and Treatment (2 papers), Statistical Methods in Clinical Trials (2 papers) and Cardiac Imaging and Diagnostics (2 papers). Bonnie Mack is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (2 papers), Statistical Methods in Clinical Trials (2 papers) and Cardiac Imaging and Diagnostics (2 papers). Bonnie Mack collaborates with scholars based in United States, Türkiye and Germany. Bonnie Mack's co-authors include Stephen L. Bacharach, Kenneth M. Kent, Michael V. Green, Gerald S. Johnston, Stephen E. Epstein, Jeffrey Borer, Dominick A. Scaramuzzino, Herbert A. Fritsche, Klaus‐Martin Schulte and Joseph P. Weir and has published in prestigious journals such as New England Journal of Medicine, Medicine & Science in Sports & Exercise and Annals of Surgical Oncology.

In The Last Decade

Bonnie Mack

6 papers receiving 552 citations

Hit Papers

Real-Time Radionuclide Ci... 1977 2026 1993 2009 1977 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Bonnie Mack 495 404 123 61 54 6 641
J F McNeer 526 1.1× 396 1.0× 227 1.8× 76 1.2× 47 0.9× 9 722
R D Burow 516 1.0× 511 1.3× 196 1.6× 62 1.0× 38 0.7× 10 735
James B. Young 522 1.1× 222 0.5× 217 1.8× 40 0.7× 75 1.4× 7 670
M Courtois 579 1.2× 289 0.7× 84 0.7× 28 0.5× 34 0.6× 11 611
Daniel Mulvihill 613 1.2× 448 1.1× 143 1.2× 81 1.3× 47 0.9× 7 754
Samuel B. Itscoitz 437 0.9× 256 0.6× 179 1.5× 40 0.7× 53 1.0× 16 565
Norma Zedda 481 1.0× 436 1.1× 282 2.3× 18 0.3× 44 0.8× 11 623
John Ratcliff 533 1.1× 253 0.6× 57 0.5× 31 0.5× 53 1.0× 7 577
M T Upton 655 1.3× 433 1.1× 111 0.9× 109 1.8× 62 1.1× 13 779
Anders Thorstensen 595 1.2× 368 0.9× 78 0.6× 23 0.4× 55 1.0× 11 656

Countries citing papers authored by Bonnie Mack

Since Specialization
Citations

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

Fields of papers citing papers by Bonnie Mack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bonnie Mack

This figure shows the co-authorship network connecting the top 25 collaborators of Bonnie Mack. A scholar is included among the top collaborators of Bonnie Mack 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 Bonnie Mack. Bonnie Mack 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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