Mun Han

434 citations
23 papers · 311 · h-index 10

Impact in

Papers in

Mun Han

22 papers receiving 309 citations

Peers

Mun Han
Comparison fields: 5 of 64
  • Radiology, Nuclear Medicine and Imaging 97
  • Biomedical Engineering 191
  • Neurology 33
  • Biomaterials 34
  • Cellular and Molecular Neuroscience 34
Replace Charissa Poon with:
Charissa Poon Canada
Kairavi Shah Canada
Harriet Lea‐Banks Canada
Michele Bresler United States
Carlos Sierra United States
Manish Ranjan United States
Nancy Kwon United States
Oluyemi Olumolade United States
Kelly Markham-Coultes Canada
Yu‐Jie Huang Taiwan
Mun Han relative to Charissa Poon Canada Charissa Poon's profile →
Citations per field
00.5×2.7×
Charissa Poon · 1×
Citations per year

Countries citing papers authored by Mun Han

Since Specialization
Citations

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

Fields of papers citing papers by Mun Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201697
2 202226
3 201920
4 201420
5 201919
6 202118
7 201718
8 201917
9 202014
10 202214
11 20139
12 20167
13 20226
14 20146
15 20245
16 20215
17 20253
18 20253
19 20241
20 20191

About Mun Han

Mun Han is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience, Biomaterials and Sensory Systems, having authored 23 papers that have together received 311 indexed citations. Recurring topics across this work include Ultrasound and Hyperthermia Applications (14 papers), Photoacoustic and Ultrasonic Imaging (7 papers), Ultrasound Imaging and Elastography (4 papers), Nanoparticle-Based Drug Delivery (3 papers), Ultrasound and Cavitation Phenomena (3 papers), MRI in cancer diagnosis (2 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers) and Advanced Neuroimaging Techniques and Applications (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (97 citations), Biomedical Engineering (191 citations), Neurology (33 citations), Biomaterials (34 citations) and Cellular and Molecular Neuroscience (34 citations). Mun Han has collaborated with scholars based in South Korea, United States and Norway. Frequent co-authors include Juyoung Park, Yongmin Chang, Eun‐Hee Lee, Jong‐ryul Choi, Sang Hyun Ahn, Taekwan Lee, Hyeon Seo, Hyojin Choi, Hyo Jin Choi and Eun‐Hee Lee. Their work appears in journals such as Scientific Reports, Frontiers in Neuroscience, Neuromodulation Technology at the Neural Interface, Biomedicines and Journal of Ginseng Research.

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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