Michael E. Zalis

2.1k citations
43 papers · 1.7k · h-index 20

Impact in

Papers in

    • Colorectal Cancer Screening and Detection 31
    • Colorectal Cancer Surgical Treatments 13
    • Radiomics and Machine Learning in Medical Imaging 7
    • Radiation Dose and Imaging 5
    • Radiology practices and education 4

Michael E. Zalis

43 papers receiving 1.6k citations

Peers

Michael E. Zalis
Comparison fields: 5 of 76
  • Oncology 1.2k
  • Radiology, Nuclear Medicine and Imaging 391
  • Pulmonary and Respiratory Medicine 376
  • Health Informatics 12
  • Medical Laboratory Technology 11
Replace Philippe A. Lefere with:
Philippe A. Lefere Belgium
Rogier E. van Gelder Netherlands
Jasper Florie Netherlands
Darren J. Boone United Kingdom
Philip C. Müller Switzerland
Hae Yeon Kang South Korea
Vincenzo Craviotto Italy
Leslie R. Lamb United States
Mark N. Appleyard Australia
Daniel I. Glazer United States
Michael E. Zalis relative to Philippe A. Lefere Belgium Philippe A. Lefere's profile →
Citations per field
00.5×2×4×6×
Philippe A. Lefere · 1×
Citations per year

Countries citing papers authored by Michael E. Zalis

Since Specialization
Citations

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

Fields of papers citing papers by Michael E. Zalis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael E. Zalis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael E. Zalis Line = papers co-authored together Michael E. Zalis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005487
2 2001118
3 201299
4 200692
5 200386
6
Computerized tomographic colonography: performance evaluation in a retrospective multicenter setting1 1Vital Images Inc. has supported research at UCLA (to D. S. K. L., J. A. B., and E. G. M.). Monex provided support (to M. M.). GE Medical Systems provided software license and research support (to C. D. J., J. A. B., and A. H. D.). Voxar, Inc. produces products that compete with products listed in this paper (to M. A. B.).The study design was approved by the National Cancer Institute Cancer Therapy Evaluation Program. Computerized tomographic colonography examinations for American College of Radiology Imaging Network Protocol A6656 were submitted by E. G. McFarland, Mallinckrodt Institute of Radiology, St. Louis, Missouri; M. Zalis, Massachusetts General Hospital, Boston, Massachusetts; C. D. Johnson, Mayo Clinic, Rochester, Minnesota; M. Macari, New York University, New York, New York; D. Lu, University of California, Los Angeles, California; A. H. Dachman, University of Chicago, Chicago, Illinois; M. Morrin, Beth Israel/Deaconess Hospitals, Boston, Massachusetts; and J. Yee, Veterans Administration Hospital, San Francisco, California. Workstations for performing computerized tomographic colonography interpretations were loaned to the American College of Radiology (ACR) by General Electric, Vital Images, and the Mayo Clinic. Each provided technical support for installation at the ACR. Computerized tomographic colonography examinations were removed and workstations returned after the study interpretations were completed.
200385
7 200969
8 200465
9 200464
10 200844
11 200442
12 201038
13 200438
14 200532
15 200124
16 201023
17 200621
18 200421
19 201020
20 200920

About Michael E. Zalis

Michael E. Zalis is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine, Health Information Management and Pulmonary and Respiratory Medicine, having authored 43 papers that have together received 1.7k indexed citations. Recurring topics across this work include Colorectal Cancer Screening and Detection (31 papers), Colorectal Cancer Surgical Treatments (13 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Advanced X-ray and CT Imaging (6 papers), Radiation Dose and Imaging (5 papers), Radiology practices and education (4 papers), Gastric Cancer Management and Outcomes (4 papers) and Genetic factors in colorectal cancer (4 papers). The work is most often cited by research in Oncology (1.2k citations), Radiology, Nuclear Medicine and Imaging (391 citations), Pulmonary and Respiratory Medicine (376 citations), Health Informatics (12 citations) and Medical Laboratory Technology (11 citations). Michael E. Zalis has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Peter F. Hahn, James Perumpillichira, Abraham H. Dachman, Judy Yee, Elizabeth G. McFarland, Perry J. Pickhardt, Matthew A. Barish, Michael Macari, Andrea Laghi and J. Richard Choi. Their work appears in journals such as Radiology, Journal of the American College of Radiology, Gastroenterology, American Journal of Roentgenology and IEEE Transactions on Medical Imaging.

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.

Explore authors with similar magnitude of impact