Stephen A. Lee

691 citations
31 papers · 460 · h-index 10

Impact in

Papers in

Stephen A. Lee

26 papers receiving 439 citations

Peers

Stephen A. Lee
Comparison fields: 5 of 71
  • Biomedical Engineering 302
  • Radiology, Nuclear Medicine and Imaging 149
  • Cellular and Molecular Neuroscience 105
  • Neurology 39
  • Structural Biology 5
Replace Zhiyang Jin with:
Zhiyang Jin United States
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Michael Plaksin Israel
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Christopher B. Pople Canada
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Citations per field
00.5×2.8×
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Citations per year

Countries citing papers authored by Stephen A. Lee

Since Specialization
Citations

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

Fields of papers citing papers by Stephen A. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen A. Lee. 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 Stephen A. Lee. The network helps show where Stephen A. Lee may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201791
2 202182
3 202157
4 202249
5 202033
6 202030
7 201920
8 201819
9 202014
10 202013
11 20246
12 20195
13 20245
14 20185
15 20234
16 20233
17 20213
18 20233
19 20232
20 20182

About Stephen A. Lee

Stephen A. Lee is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience, Molecular Biology and Materials Chemistry, having authored 31 papers that have together received 460 indexed citations. Recurring topics across this work include Ultrasound and Hyperthermia Applications (23 papers), Photoacoustic and Ultrasonic Imaging (20 papers), Ultrasound Imaging and Elastography (13 papers), Neuroscience and Neural Engineering (3 papers), Ultrasound and Cavitation Phenomena (3 papers), Advanced MRI Techniques and Applications (2 papers), Microbial Inactivation Methods (2 papers) and Ion channel regulation and function (2 papers). The work is most often cited by research in Biomedical Engineering (302 citations), Radiology, Nuclear Medicine and Imaging (149 citations), Cellular and Molecular Neuroscience (105 citations), Neurology (39 citations) and Structural Biology (5 citations). Stephen A. Lee has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Elisa E. Konofagou, Hermes A. S. Kamimura, Matthew Downs, Qi Wang, Chen Shi, Kenneth L. Shepard, Victoria Andino-Pavlovsky, Tiago Costa, Christian Aurup and Mark Burgess. Their work appears in journals such as IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control, Physics in Medicine and Biology, IEEE Transactions on Medical Imaging, Clinical & Translational Oncology and Scientific Reports.

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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