David M. Shames

4.9k citations
106 papers · 4.0k indexed · h-index 37

Impact in

Papers in

David M. Shames

104 papers receiving 3.8k citations

Peers

David M. Shames
Comparison fields: 5 of 140
  • Radiology, Nuclear Medicine and Imaging 2.1k
  • Nutrition and Dietetics 635
  • Hematology 252
  • Health, Toxicology and Mutagenesis 294
  • Cancer Research 304
Replace Richard C. Reba with:
Richard C. Reba United States
David C. Price United States
Brian L. Fish United States
Herbert C. Stary United States
Rolf Bünger United States
Bernard Thébaud Canada
Takashi Nakano Japan
Ryohei Sasaki Japan
Coby Meijer Netherlands
Dana R. Abendschein United States
David M. Shames relative to Richard C. Reba United States Richard C. Reba's profile →
Citations per field
00.5×8.2×
Richard C. Reba · 1×
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-authorship network

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
#Work
1 20135
2 20099
3 200727
4 200536
5 200535
6 200444
7 20024
8 20026
9 200217
10 2002123
11 200160
12 200038
13 2000447
14
A compartmental model of zinc kinetics in children
19990
15 199931
16 199612
17 199565
18 19944
19 199319
20 1993152

About David M. Shames

David M. Shames is a scholar working on Radiology, Nuclear Medicine and Imaging, Modeling and Simulation, Cardiology and Cardiovascular Medicine, Materials Chemistry and Nutrition and Dietetics, having authored 106 papers that have together received 4.0k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (49 papers), Advanced MRI Techniques and Applications (48 papers), Lanthanide and Transition Metal Complexes (23 papers), Cardiac Imaging and Diagnostics (14 papers), Medical Imaging Techniques and Applications (13 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Trace Elements in Health (7 papers) and Angiogenesis and VEGF in Cancer (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.1k citations), Nutrition and Dietetics (635 citations), Hematology (252 citations), Health, Toxicology and Mutagenesis (294 citations) and Cancer Research (304 citations). David M. Shames has collaborated with scholars based in United States, Austria and Germany. 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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