Mark Supanich

956 citations
25 papers · 568 · h-index 11

Impact in

Papers in

Mark Supanich

22 papers receiving 557 citations

Peers

Mark Supanich
Comparison fields: 5 of 50
  • Radiology, Nuclear Medicine and Imaging 336
  • Internal Medicine 26
  • Biomedical Engineering 199
  • Radiation 34
  • Health Informatics 5
Replace Gorka Bastarrika with:
Gorka Bastarrika Spain
C McCollough United States
M. Niethammer Germany
Timothy P. Szczykutowicz United States
D S Brettle United Kingdom
K. Klingenbeck‐Regn Germany
Andreas Sauter Germany
Menahem Nassí United States
Fatemeh Homayounieh United States
Annemarie Bakai Germany
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Citations per field
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Gorka Bastarrika · 1×
Citations per year

Countries citing papers authored by Mark Supanich

Since Specialization
Citations

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

Fields of papers citing papers by Mark Supanich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mark Supanich, 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 Mark Supanich Line = papers co-authored together Mark Supanich links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Use of Water Equivalent Diameter for Calculating Patient Size and Size-Specific Dose Estimates (SSDE) in CT: The Report of AAPM Task Group 220.
2014232
2 202044
3 200943
4 201439
5 202036
6 200627
7 200425
8 201521
9 201718
10 202313
11 200411
12 20239
13 20219
14 20179
15 20077
16 20236
17 20236
18 20045
19 20184
20 20082

About Mark Supanich

Mark Supanich is a scholar working on Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health, Biomedical Engineering, Pulmonary and Respiratory Medicine and Radiation, having authored 25 papers that have together received 568 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (7 papers), Radiation Dose and Imaging (7 papers), Fetal and Pediatric Neurological Disorders (5 papers), Advanced X-ray and CT Imaging (4 papers), Advanced MRI Techniques and Applications (4 papers), Advanced Radiotherapy Techniques (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Digital Radiography and Breast Imaging (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (336 citations), Internal Medicine (26 citations), Biomedical Engineering (199 citations), Radiation (34 citations) and Health Informatics (5 citations). Mark Supanich has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Jia Wang, John M. Boone, Huaiyu H. Chen‐Mayer, Donovan Bakalyar, Cynthia H. McCollough, Shuai Leng, Michael F. McNitt‐Gray, Olav Christianson, Samuel L. Brady and Baojun Li. Their work appears in journals such as Medical Physics, Nuclear Medicine Communications, Cryogenics, Journal of Vascular and Interventional Radiology and Magnetic Resonance 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.

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