Nancy Kwon

481 citations
18 papers · 345 · h-index 9

Impact in

Papers in

    • Ultrasound and Hyperthermia Applications 13
    • Photoacoustic and Ultrasonic Imaging 1
    • Barrier Structure and Function Studies 2
    • Neuroinflammation and Neurodegeneration Mechanisms 1

Nancy Kwon

18 papers receiving 339 citations

Peers

Nancy Kwon
Comparison fields: 5 of 33
  • Biomedical Engineering 211
  • Neurology 43
  • Oncology 45
  • Biomaterials 16
  • Physiology 32
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Mun Han South Korea
Phillip Croce United States
Olga A. Morozova United States
Charissa Poon Canada
Fenghe Zhong United States
Zsofia Kovacs‐Balint United States
Michele Bresler United States
Kairavi Shah Canada
Fotios Vlachos United States
Robin Ji United States
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Citations per field
00.5×2×2.6×
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Citations per year

Countries citing papers authored by Nancy Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Nancy Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 202162
2 201846
3 202037
4 202333
5 202329
6 202329
7 202328
8 202223
9 202020
10 20248
11 20187
12 20227
13 20214
14 20224
15 20253
16 20232
17 20252
18 20241

About Nancy Kwon

Nancy Kwon is a scholar working on Biomedical Engineering, Neurology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging, having authored 18 papers that have together received 345 indexed citations. Recurring topics across this work include Ultrasound and Hyperthermia Applications (13 papers), Cardiovascular Health and Disease Prevention (2 papers), Photoreceptor and optogenetics research (2 papers), Barrier Structure and Function Studies (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (1 paper), Cancer Treatment and Pharmacology (1 paper), Photoacoustic and Ultrasonic Imaging (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Biomedical Engineering (211 citations), Neurology (43 citations), Oncology (45 citations), Biomaterials (16 citations) and Physiology (32 citations). Nancy Kwon has collaborated with scholars based in United States, Sweden and Greece. Frequent co-authors include Elisa E. Konofagou, Robin Ji, Jennifer L. Beaumont, Judith A. Paice, Antonios N. Pouliopoulos, Hermes A. S. Kamimura, Christian Aurup, Stephen A. Lee, Greg Jensen and Yusuke Niimi. Their work appears in journals such as Brain stimulation, Scientific Reports, Theranostics, Supportive Care in Cancer and Physiological Measurement.

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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