Keith M. Stantz

1.3k citations
48 papers · 526 · h-index 11

Impact in

Papers in

    • MRI in cancer diagnosis 8
    • Optical Imaging and Spectroscopy Techniques 7
    • Medical Imaging Techniques and Applications 7
    • Radiomics and Machine Learning in Medical Imaging 4
    • Photoacoustic and Ultrasonic Imaging 18
    • Nanoplatforms for cancer theranostics 9
    • Ultrasound and Hyperthermia Applications 5

Keith M. Stantz

45 papers receiving 514 citations

Peers

Keith M. Stantz
Comparison fields: 5 of 75
  • Radiology, Nuclear Medicine and Imaging 117
  • Biomedical Engineering 240
  • Biomaterials 71
  • Cancer Research 44
  • Biotechnology 26
Replace Jake C. Forster with:
Jake C. Forster Australia
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Yikun Yang China
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Citations per field
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Citations per year

Countries citing papers authored by Keith M. Stantz

Since Specialization
Citations

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

Fields of papers citing papers by Keith M. Stantz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keith M. Stantz. 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 Keith M. Stantz. The network helps show where Keith M. Stantz may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012137
2 200552
3 200237
4 201336
5 200735
6 200930
7 201527
8 200618
9 200516
10 200916
11 200513
12 201010
13 20148
14 20108
15 20048
16 20207
17
Swarms of UAVs and fighter aircraft
19986
18 20135
19 20165
20
Renoprotective properties of acetazolamide in a rat model of contrast media induced renal failure
20035

About Keith M. Stantz

Keith M. Stantz is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Molecular Biology, Pulmonary and Respiratory Medicine and Radiation, having authored 48 papers that have together received 526 indexed citations. Recurring topics across this work include Photoacoustic and Ultrasonic Imaging (18 papers), Nanoplatforms for cancer theranostics (9 papers), MRI in cancer diagnosis (8 papers), Optical Imaging and Spectroscopy Techniques (7 papers), Medical Imaging Techniques and Applications (7 papers), Ultrasound and Hyperthermia Applications (5 papers), Advanced Radiotherapy Techniques (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (117 citations), Biomedical Engineering (240 citations), Biomaterials (71 citations), Cancer Research (44 citations) and Biotechnology (26 citations). Keith M. Stantz has collaborated with scholars based in United States and Canada. Frequent co-authors include Ning Cao, Robert A. Kruger, Minsong Cao, Susan E. Clare, Mi-Ran Choi, Rizia Bardhan, Naomi J. Halas, Sunil Badve, Harikrishna Nakshatri and Katie J. Stanton-Maxey. Their work appears in journals such as Medical Physics, IEEE Transactions on Medical Imaging, Molecular Imaging and Biology, Cancer Nanotechnology and Cancer Research.

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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