Soo‐Yeon Kang
Impact in
-
- Flavonoids in Medical Research
Papers in
-
- 3D Printing in Biomedical Research 11
- Innovative Microfluidic and Catalytic Techniques Innovation 4
- Oncology 9
- Cancer Cells and Metastasis 3
- Cytokine Signaling Pathways and Interactions 3
- Co-authors
- Moo‐Yeal Lee (11 shared papers)Pranav Joshi (10 shared papers)Youn Kyung Choi (3 shared papers)Kyeong‐Nam Yu (3 shared papers)Yong Cheol Shin (4 shared papers)Jin Mo Ku (4 shared papers)Yu‐Jeong Choi (5 shared papers)Sung‐Gook Cho (1 shared paper)
- Journals
- Cancer Research (3 papers)Toxicology in Vitro (3 papers)BMC Complementary and Alternative Medicine (2 papers)ACS Applied Nano Materials (1 paper)BMC Emergency Medicine (1 paper)
- Partner nations
- South KoreaUnited StatesBrazil
In The Last Decade
Soo‐Yeon Kang
24 papers receiving 274 citations
Peers
Comparison fields: 5 of 67
- Developmental Neuroscience 10
- Pharmacology 34
- Pharmacology 18
- Biophysics 12
- Biochemistry 12
Countries citing papers authored by Soo‐Yeon Kang
This map shows the geographic impact of Soo‐Yeon 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 Soo‐Yeon Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Soo‐Yeon Kang more than expected).
Fields of papers citing papers by Soo‐Yeon Kang
This network shows the impact of papers produced by Soo‐Yeon 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 Soo‐Yeon Kang. The network helps show where Soo‐Yeon Kang may publish in the future.
Co-authors
The 25 scholars most cited alongside Soo‐Yeon Kang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 74 | |
| 2 | 2016 | 40 | |
| 3 | 2018 | 23 | |
| 4 | 2023 | 23 | |
| 5 | 2017 | 22 | |
| 6 | 2024 | 20 | |
| 7 | 2018 | 19 | |
| 8 | 2024 | 9 | |
| 9 | 2024 | 7 | |
| 10 | 2021 | 6 | |
| 11 | 2022 | 5 | |
| 12 | 2018 | 4 | |
| 13 | 2023 | 3 | |
| 14 | 2022 | 3 | |
| 15 | 2019 | 3 | |
| 16 | 2022 | 3 | |
| 17 | 2022 | 3 | |
| 18 | 2023 | 2 | |
| 19 | 2019 | 2 | |
| 20 | Direct Numerical Simulation of the Flow Past an Oscillating Circular Cylinder | 2001 | 1 |
About Soo‐Yeon Kang
Soo‐Yeon Kang is a scholar working on Biomedical Engineering, Oncology, Molecular Biology, Pharmacology and Cancer Research, having authored 25 papers that have together received 276 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (11 papers), Innovative Microfluidic and Catalytic Techniques Innovation (4 papers), Cancer Cells and Metastasis (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Cytokine Signaling Pathways and Interactions (3 papers), Pluripotent Stem Cells Research (2 papers), Cell Image Analysis Techniques (2 papers) and Anesthesia and Neurotoxicity Research (2 papers). The work is most often cited by research in Developmental Neuroscience (10 citations), Pharmacology (34 citations), Pharmacology (18 citations), Biophysics (12 citations) and Biochemistry (12 citations). Soo‐Yeon Kang has collaborated with scholars based in South Korea, United States and Brazil. Frequent co-authors include Moo‐Yeal Lee, Pranav Joshi, Youn Kyung Choi, Kyeong‐Nam Yu, Yong Cheol Shin, Jin Mo Ku, Yu‐Jeong Choi, Sung‐Gook Cho, Seong‐Gyu Ko and Sunil Shrestha. Their work appears in journals such as Cancer Research, Toxicology in Vitro, BMC Complementary and Alternative Medicine, ACS Applied Nano Materials and BMC Emergency Medicine.
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.