David M. Shames

4.9k citations
106 papers · 4.1k · h-index 37

Impact in

Papers in

    • MRI in cancer diagnosis 45
    • Advanced MRI Techniques and Applications 35
    • Cardiac Imaging and Diagnostics 14
    • Medical Imaging Techniques and Applications 10
    • Radiomics and Machine Learning in Medical Imaging 6
    • Lanthanide and Transition Metal Complexes 16

David M. Shames

104 papers receiving 3.8k citations

Peers

David M. Shames
Comparison fields: 5 of 138
  • Radiology, Nuclear Medicine and Imaging 1.8k
  • Nutrition and Dietetics 622
  • Cancer Research 255
  • Hematology 186
  • Health, Toxicology and Mutagenesis 234
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Citations per field
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Citations per year

Countries citing papers authored by David M. Shames

Since Specialization
Citations

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

Fields of papers citing papers by David M. Shames

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000453
2 1978223
3 1997221
4 1970161
5 1993152
6 2002123
7 2001107
8 2000101
9 200195
10 199980
11 197877
12 199875
13 200675
14 199773
15 199872
16 200166
17 200366
18 199565
19 199465
20 197864

About David M. Shames

David M. Shames is a scholar working on Radiology, Nuclear Medicine and Imaging, Materials Chemistry, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Surgery, having authored 106 papers that have together received 4.1k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (45 papers), Advanced MRI Techniques and Applications (35 papers), Lanthanide and Transition Metal Complexes (16 papers), Cardiac Imaging and Diagnostics (14 papers), Medical Imaging Techniques and Applications (10 papers), Trace Elements in Health (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Cardiac electrophysiology and arrhythmias (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.8k citations), Nutrition and Dietetics (622 citations), Cancer Research (255 citations), Hematology (186 citations) and Health, Toxicology and Mutagenesis (234 citations). David M. Shames has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include Robert C. Brasch, Janet C. King, Leslie R. Woodhouse, Timothy P. L. Roberts, Michael F. Wendland, Elias H. Botvinick, Karl Turetschek, William W. Parmley, Thomas H. Helbich and Andreas Mühler. Their work appears in journals such as Investigative Radiology, Academic Radiology, Journal of Magnetic Resonance Imaging, The American Journal of Cardiology and Magnetic Resonance in Medicine.

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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