Michael Macari

8.4k total citations
88 papers, 5.9k citations indexed

About

Michael Macari is a scholar working on Oncology, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Michael Macari has authored 88 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Oncology, 35 papers in Surgery and 30 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Michael Macari's work include Colorectal Cancer Screening and Detection (26 papers), Colorectal Cancer Surgical Treatments (14 papers) and Radiomics and Machine Learning in Medical Imaging (12 papers). Michael Macari is often cited by papers focused on Colorectal Cancer Screening and Detection (26 papers), Colorectal Cancer Surgical Treatments (14 papers) and Radiomics and Machine Learning in Medical Imaging (12 papers). Michael Macari collaborates with scholars based in United States, Germany and United Kingdom. Michael Macari's co-authors include Alec J. Megibow, Hersh Chandarana, Emil J. Balthazar, James S. Babb, Anno Graser, Thorsten R. C. Johnson, Andrew Milano, Edmund J. Bini, Christianne Leidecker and Phillip M. Berman and has published in prestigious journals such as Gastroenterology, Radiology and The American Journal of Surgical Pathology.

In The Last Decade

Michael Macari

88 papers receiving 5.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Macari United States 43 2.5k 2.4k 2.3k 1.8k 1.6k 88 5.9k
Vassilios Raptopoulos United States 36 1.3k 0.5× 1.1k 0.4× 1.8k 0.8× 1.3k 0.7× 608 0.4× 133 4.3k
Christian Stroszczynski Germany 38 1.8k 0.7× 1.4k 0.6× 1.8k 0.8× 1.7k 1.0× 1.2k 0.7× 356 6.5k
Dushyant V. Sahani United States 43 4.2k 1.7× 1.2k 0.5× 1.3k 0.6× 1.7k 0.9× 3.2k 1.9× 127 6.7k
Maarten S. van Leeuwen Netherlands 41 1.4k 0.6× 962 0.4× 1.8k 0.8× 1.8k 1.0× 485 0.3× 115 4.9k
Koenraad J. Mortelé United States 50 1.7k 0.7× 3.7k 1.5× 5.8k 2.6× 2.5k 1.4× 405 0.2× 239 9.5k
Zohar Keidar Israel 37 2.3k 0.9× 682 0.3× 1.3k 0.6× 1.3k 0.8× 547 0.3× 128 4.5k
Avinash Kambadakone United States 34 2.3k 0.9× 932 0.4× 1.0k 0.5× 1.1k 0.6× 1.6k 1.0× 208 4.4k
Seung Soo Lee South Korea 44 2.3k 0.9× 1.6k 0.7× 2.3k 1.0× 1.1k 0.6× 408 0.2× 258 7.0k
Thomas Pfammatter Switzerland 41 1.7k 0.7× 443 0.2× 2.7k 1.2× 3.4k 1.9× 831 0.5× 204 6.6k
Brian R. Herts United States 39 1.8k 0.7× 545 0.2× 1.6k 0.7× 2.6k 1.5× 817 0.5× 130 5.0k

Countries citing papers authored by Michael Macari

Since Specialization
Citations

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

Fields of papers citing papers by Michael Macari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Macari

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

All Works

20 of 20 papers shown
1.
Al-Hawary, Mahmoud M., Isaac R. Francis, Suresh T. Chari, et al.. (2013). Pancreatic Ductal Adenocarcinoma Radiology Reporting Template: Consensus Statement of the Society of Abdominal Radiology and the American Pancreatic Association. Radiology. 270(1). 248–260. 338 indexed citations
2.
Recht, Michael P., Michael Macari, Tom Mulholland, et al.. (2012). Impacting Key Performance Indicators in an Academic MR Imaging Department Through Process Improvement. Journal of the American College of Radiology. 10(3). 202–206. 24 indexed citations
3.
Macari, Michael, Emma Robinson, Alec J. Megibow, et al.. (2011). Frequency of Intraductal Papillary Mucinous Neoplasm in Patients with and without Pancreas Cancer. Pancreatology. 10(6). 734–741. 7 indexed citations
4.
Macari, Michael, Hersh Chandarana, & B. Schmidt. (2007). Abdominal aortic aneurysm: Can the arterial phase at CT evaluation after endovascular repair be eliminated to reduce radiation dose?. Journal of Vascular Surgery. 45(6). 1285–1285. 2 indexed citations
5.
Baker, Mark E., Luca Bogoni, Nancy A. Obuchowski, et al.. (2007). Computer-aided Detection of Colorectal Polyps: Can It Improve Sensitivity of Less-Experienced Readers? Preliminary Findings. Radiology. 245(1). 140–149. 63 indexed citations
6.
Andreopoulou, Eleni, Hal F. Yee, Melanie Warycha, et al.. (2007). Mucinous Cancer of the Appendix: Challenges in Diagnosis and Treatment. Journal of Chemotherapy. 19(4). 451–454. 10 indexed citations
7.
8.
Bogoni, Luca, Pascal Cathier, Murat Dündar, et al.. (2005). Computer-aided detection (CAD) for CT colonography: a tool to address a growing need. British Journal of Radiology. 78(suppl_1). S57–S62. 56 indexed citations
9.
Miller, George, Claudia Mueller, Duke Yim, et al.. (2005). Perforated Duodenal Diverticulitis: A Report of Three Cases. Digestive Surgery. 22(3). 198–202. 31 indexed citations
10.
Macari, Michael, Edmund J. Bini, Stacy L. Jacobs, et al.. (2004). Colorectal Polyps and Cancers in Asymptomatic Average-Risk Patients: Evaluation with CT Colonography. Radiology. 230(3). 629–636. 80 indexed citations
11.
Macari, Michael & Emil J. Balthazar. (2003). The acute right lower quadrant. Radiologic Clinics of North America. 41(6). 1117–1136. 38 indexed citations
12.
Lui, Yvonne W., Michael Macari, Gary M. Israel, et al.. (2003). CT Colonography Data Interpretation: Effect of Different Section Thicknesses—Preliminary Observations. Radiology. 229(3). 791–797. 27 indexed citations
13.
14.
Macari, Michael, Edmund J. Bini, Xiaonan Xue, et al.. (2002). Colorectal Neoplasms: Prospective Comparison of Thin-Section Low-Dose Multi–Detector Row CT Colonography and Conventional Colonoscopy for Detection. Radiology. 224(2). 383–392. 170 indexed citations
15.
Megibow, Alec J., Henry Rusinek, Genevieve L. Bennett, et al.. (2002). Computed Tomography Diagnosis Utilizing Compressed Image Data: An ROC Analysis Using Acute Appendicitis as a Model. Journal of Digital Imaging. 15(2). 84–90. 13 indexed citations
16.
Macari, Michael & Alec J. Megibow. (2001). Imaging of suspected acute small bowel obstruction. Seminars in Roentgenology. 36(2). 108–117. 29 indexed citations
17.
Megibow, Alec J., Fábio Lombardo, Alessandro Guarise, et al.. (2001). Cystic pancreatic masses: cross-sectional imaging observations and serial follow-up. Abdominal Imaging. 26(6). 640–647. 72 indexed citations
18.
Schwartz, Lawrence H., Michael Macari, Andrew G. Huvos, & David M. Panicek. (1996). Collision tumors of the adrenal gland: demonstration and characterization at MR imaging.. Radiology. 201(3). 757–760. 66 indexed citations
19.
Macari, Michael & David M. Panicek. (1995). CT Findings in Acute Necrotizing Meckel Diverticulitis Due to Obstructing Enterolith. Journal of Computer Assisted Tomography. 19(5). 808–810. 22 indexed citations
20.
Macari, Michael, et al.. (1982). Automated Contactless Digital Test System for VLSI.. International Test Conference. 634–639. 2 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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