Matthew Downs

1.1k citations
28 papers · 839 · h-index 12

Impact in

Papers in

Matthew Downs

25 papers receiving 821 citations

Peers

Matthew Downs
Comparison fields: 5 of 93
  • Biomedical Engineering 537
  • Radiology, Nuclear Medicine and Imaging 220
  • Neurology 57
  • Cell Biology 98
  • Condensed Matter Physics 70
Replace David R. Mittelstein with:
David R. Mittelstein United States
Olivier Thouvenin France
Carolyn E. Schutt United States
Hans‐Dieter Rott Germany
Shigeyoshi Saito Japan
Di Chen United States
Kang-Ho Song United States
Chris Puleo United States
Kristan S. Worthington United States
Won Kyung Song South Korea
Matthew Downs relative to David R. Mittelstein United States David R. Mittelstein's profile →
Citations per field
00.5×5×10×15×20×22.5×
David R. Mittelstein · 1×
Citations per year

Countries citing papers authored by Matthew Downs

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Downs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015180
2 201797
3 201183
4 201583
5 201483
6 201473
7 201247
8 201236
9 201736
10 201027
11 201721
12 201512
13 201511
14 201310
15 19968
16 20227
17 20236
18 20135
19 20203
20 20133

About Matthew Downs

Matthew Downs is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Condensed Matter Physics, Materials Chemistry and Molecular Biology, having authored 28 papers that have together received 839 indexed citations. Recurring topics across this work include Ultrasound and Hyperthermia Applications (15 papers), Photoacoustic and Ultrasonic Imaging (8 papers), Ultrasound Imaging and Elastography (6 papers), Advanced MRI Techniques and Applications (6 papers), Micro and Nano Robotics (5 papers), Ultrasound and Cavitation Phenomena (5 papers), Genetic and Kidney Cyst Diseases (4 papers) and Microtubule and mitosis dynamics (3 papers). The work is most often cited by research in Biomedical Engineering (537 citations), Radiology, Nuclear Medicine and Imaging (220 citations), Neurology (57 citations), Cell Biology (98 citations) and Condensed Matter Physics (70 citations). Matthew Downs has collaborated with scholars based in United States, Japan and Ireland. Frequent co-authors include Vincent P. Ferrera, Elisa E. Konofagou, Maria Eleni Karakatsani, Christopher R. Jacobs, A. Buch, David A. Hoey, Carlos Sierra, Elisa E. Konofagou, Yao‐Sheng Tung and Fabrice Marquet. Their work appears in journals such as PLoS ONE, Biophysical Journal, IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control, Journal of Therapeutic Ultrasound and Frontiers in Bioengineering and Biotechnology.

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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