Meredith Sadinski

425 citations
15 papers · 315 · h-index 9

Impact in

    • MRI in cancer diagnosis
    • Radiomics and Machine Learning in Medical Imaging
    • Advanced MRI Techniques and Applications
    • Medical Imaging Techniques and Applications
    • Advanced Radiotherapy Techniques

Papers in

Meredith Sadinski

14 papers receiving 314 citations

Peers

Meredith Sadinski
Comparison fields: 5 of 31
  • Radiology, Nuclear Medicine and Imaging 210
  • Radiation 24
  • Health Informatics 3
  • Artificial Intelligence 58
  • Pulmonary and Respiratory Medicine 51
Replace Shonket Ray with:
Shonket Ray United States
Naum Papanicolau Canada
Xiaofeng Jiang China
Nestor A. Parra United States
G. Klausner France
Yishu Deng China
Hongmei Ying China
Andrea Bettinelli Italy
Bjørn Helge Østerås Norway
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Citations per year

Countries citing papers authored by Meredith Sadinski

Since Specialization
Citations

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

Fields of papers citing papers by Meredith Sadinski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 202075
2 202053
3 201931
4 201930
5 201527
6 201626
7 201825
8 200924
9 202113
10 20217
11 20231
12 20101
13 20111
14 20111
15 20250

About Meredith Sadinski

Meredith Sadinski is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Genetics, Radiation and Surgery, having authored 15 papers that have together received 315 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Medical Imaging Techniques and Applications (3 papers), Prostate Cancer Diagnosis and Treatment (3 papers), Advanced Radiotherapy Techniques (2 papers), Glioma Diagnosis and Treatment (2 papers), Atomic and Subatomic Physics Research (1 paper) and Meningioma and schwannoma management (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (210 citations), Radiation (24 citations), Health Informatics (3 citations), Artificial Intelligence (58 citations) and Pulmonary and Respiratory Medicine (51 citations). Meredith Sadinski has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Elizabeth A. Morris, Elizabeth J. Sutton, Natsuko Onishi, Danny F. Martinez, Peter Gibbs, Brittany Z. Dashevsky, Mary Hughes, Katherine Gallagher, Joseph O. Deasy and Harini Veeraraghavan. Their work appears in journals such as Medical Physics, Breast Cancer Research, Scientific Reports, Journal of Magnetic Resonance Imaging and European Radiology.

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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