Won Jun Kang

147 papers receiving 3.0k citations

Peers

Won Jun Kang
Comparison fields: 5 of 116
  • Obstetrics and Gynecology 261
  • Reproductive Medicine 231
  • Genetics 251
  • Radiology, Nuclear Medicine and Imaging 523
  • Cancer Research 203
Replace Takayoshi Ishimori with:
Takayoshi Ishimori Japan
Marcelo Mamede Brazil
June-Key Chung South Korea
Christophe M. Deroose Belgium
Joost R. van der Vorst Netherlands
Merlijn Hutteman Netherlands
Sang‐Woo Lee South Korea
Michel Fabbro France
Boudewijn E. Schaafsma Netherlands
Melissa Walker United States
Won Jun Kang relative to Takayoshi Ishimori Japan Takayoshi Ishimori's profile →
Citations per field
00.5×3.3×
Takayoshi Ishimori · 1×
Citations per year

Countries citing papers authored by Won Jun Kang

Since Specialization
Citations

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

Fields of papers citing papers by Won Jun Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Won Jun Kang. 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 Won Jun Kang. The network helps show where Won Jun Kang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 153 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006195
2
Tissue distribution of 18F-FDG-labeled peripheral hematopoietic stem cells after intracoronary administration in patients with myocardial infarction.
2006181
3 200990
4 200687
5 201087
6 200687
7 201876
8 200972
9 200966
10 200660
11 201460
12 200959
13 200959
14 200857
15 201456
16 201655
17 200553
18 200952
19 201349
20 200648

About Won Jun Kang

Won Jun Kang is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Molecular Biology, Surgery and Electrical and Electronic Engineering, having authored 153 papers that have together received 3.0k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (16 papers), Advanced biosensing and bioanalysis techniques (14 papers), Thin-Film Transistor Technologies (11 papers), RNA Interference and Gene Delivery (10 papers), Ovarian cancer diagnosis and treatment (10 papers), Endometrial and Cervical Cancer Treatments (10 papers), ZnO doping and properties (9 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). The work is most often cited by research in Obstetrics and Gynecology (261 citations), Reproductive Medicine (231 citations), Genetics (251 citations), Radiology, Nuclear Medicine and Imaging (523 citations) and Cancer Research (203 citations). Won Jun Kang has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include June‐Key Chung, Soonhag Kim, Ye Lim Cho, Ju Ri Chae, Mijin Yun, Jong Doo Lee, Hyo‐Soo Kim, Hyun‐Jae Kang, Dong Soo Lee and Arthur Cho. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, Annals of Nuclear Medicine, European Radiology, Biomaterials and PLoS ONE.

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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