Kwan‐Hyun Kim
- Molecular Biology
- Epidemiology top 10%
- Plant Science
- Immunology
- Cell Biology top 10%
- Co-authors
- Sung‐Hoon KimDo‐Hyung KimHyo‐Jung LeeYoung Mi KimMinchul SeoJi‐Man ParkChang Hwa JungBranden S. Moriarity
- Topics
- Angiogenesis and VEGF in Cancer (5 papers)Inflammatory mediators and NSAID effects (3 papers)PI3K/AKT/mTOR signaling in cancer (2 papers)
- Partner nations
- South KoreaUnited StatesRussia
In The Last Decade
Kwan‐Hyun Kim
30 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 101
- Molecular Biology 604
- Epidemiology 307
- Plant Science 160
- Immunology 153
- Cell Biology 139
Countries citing papers authored by Kwan‐Hyun Kim
This map shows the geographic impact of Kwan‐Hyun Kim'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 Kwan‐Hyun Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kwan‐Hyun Kim more than expected).
Fields of papers citing papers by Kwan‐Hyun Kim
This network shows the impact of papers produced by Kwan‐Hyun Kim. 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 Kwan‐Hyun Kim. The network helps show where Kwan‐Hyun Kim may publish in the future.
Co-authorship network of co-authors of Kwan‐Hyun Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Kwan‐Hyun Kim. A scholar is included among the top collaborators of Kwan‐Hyun Kim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kwan‐Hyun Kim. Kwan‐Hyun Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 17 | |
| 4 | 56 | |
| 5 | 264 | |
| 6 | 56 | |
| 7 | 79 | |
| 8 | 9 | |
| 9 | 53 | |
| 10 | 81 | |
| 11 | 64 | |
| 12 | 127 | |
| 13 | 36 | |
| 14 | Apoptotic effect of ethanol extracts of Bojeongbangyangtang and acidic polysaccharide of Korea red ginseng in a MCF7//adR multidrug-resistance breast cancer cells | 1 |
| 15 | Rutin isolated from the Actinostemma lobatum Maxim exerts antithrombotic activity | 0 |
| 16 | Anti Angiogenic Effects of Isorhamnetin Isolated from Persicaria thunbergii | 1 |
| 17 | Anti-tumor activity of Korean Oldenlandiae Herba and Radix | 2 |
| 18 | 98 | |
| 19 | Pulsatility Index of Renal Artery in Patients with Liver Cirrhosis. | 6 |
| 20 | Quality Audit for Measuring the Effectiveness of Quality Management Systems | 1 |
About Kwan‐Hyun Kim
Kwan‐Hyun Kim is a scholar working on Cancer Research, Biological Psychiatry and Molecular Biology, having authored 33 papers that have together received 1.2k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (5 papers), Inflammatory mediators and NSAID effects (3 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). The work is most often cited by research in Physiology (58 citations), Epidemiology (307 citations) and Molecular Biology (604 citations). Kwan‐Hyun Kim has collaborated with scholars based in South Korea, United States and Russia. Frequent co-authors include Sung‐Hoon Kim, Do‐Hyung Kim, Hyo‐Jung Lee, Young Mi Kim, Minchul Seo, Ji‐Man Park, Chang Hwa Jung, Branden S. Moriarity, Junxuan Lü and Hyo‐Jeong Lee. Their work appears in journals such as Nature Communications, Blood and Molecular Cell.
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.