Seong-Uk Park
- Complementary and alternative medicine top 0.2%
- Pharmacology top 2%
- Molecular Biology
- Neurology top 5%
- Oncology top 10%
- Co-authors
- Woo‐Sang JungSang‐Kwan MoonJung‐Mi ParkChang‐Nam KoSeung‐Yeon ChoKi‐Ho ChoSang Kwan MoonSeungwon Kwon
- Topics
- Healthcare and Venom Research (43 papers)Acupuncture Treatment Research Studies (40 papers)Traditional Chinese Medicine Studies (22 papers)
- Journals
- SHILAP Revista de lepidopterologíaNeuroscienceEuropean Journal of Pharmacology
- Partner nations
- South KoreaUnited StatesAlbania
In The Last Decade
Seong-Uk Park
143 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 138
- Complementary and alternative medicine 922
- Pharmacology 565
- Molecular Biology 432
- Neurology 387
- Oncology 342
Countries citing papers authored by Seong-Uk Park
This map shows the geographic impact of Seong-Uk Park'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 Seong-Uk Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seong-Uk Park more than expected).
Fields of papers citing papers by Seong-Uk Park
This network shows the impact of papers produced by Seong-Uk Park. 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 Seong-Uk Park. The network helps show where Seong-Uk Park may publish in the future.
Co-authorship network of co-authors of Seong-Uk Park
This figure shows the co-authorship network connecting the top 25 collaborators of Seong-Uk Park. A scholar is included among the top collaborators of Seong-Uk Park 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 Seong-Uk Park. Seong-Uk Park is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 45 | |
| 6 | 12 | |
| 7 | 43 | |
| 8 | 13 | |
| 9 | 1 | |
| 10 | 12 | |
| 11 | 39 | |
| 12 | 4 | |
| 13 | 10 | |
| 14 | 26 | |
| 15 | 42 | |
| 16 | 32 | |
| 17 | 28 | |
| 18 | 30 | |
| 19 | Effects of Insamsansa-eum (Renshenshanzha-yin) on Hypercholesterolemia and Analysis of Its Effects according to the Pattern Identification | 1 |
| 20 | Two Cases of Suspected Raynaud's Syndrome Diagnosed by Cold Stress Test Treated with Chiljehyangbuhwan | 1 |
About Seong-Uk Park
Seong-Uk Park is a scholar working on Complementary and alternative medicine, Pharmacology and Neurology, having authored 159 papers that have together received 2.2k indexed citations. Recurring topics across this work include Healthcare and Venom Research (43 papers), Acupuncture Treatment Research Studies (40 papers) and Traditional Chinese Medicine Studies (22 papers). The work is most often cited by research in Complementary and alternative medicine (922 citations), Neurology (308 citations) and Pharmacology (565 citations). Seong-Uk Park has collaborated with scholars based in South Korea, United States and Albania. Frequent co-authors include Woo‐Sang Jung, Sang‐Kwan Moon, Jung‐Mi Park, Chang‐Nam Ko, Seung‐Yeon Cho, Ki‐Ho Cho, Sang Kwan Moon, Seungwon Kwon, Hi‐Joon Park and Woo Sang Jung. Their work appears in journals such as SHILAP Revista de lepidopterología, Neuroscience and European Journal of Pharmacology.
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.