Hye-Jung Park
- Physiology
- Molecular Biology
- Pharmacology top 5%
- Neurology top 10%
- Pharmacology
- Co-authors
- Seok‐Yong LeeChoon‐Gon JangYun Jeong LeeJung‐Woo BaeChristopher M. TreleavenRichard L. SidmanS. Pablo SardiLamya S. Shihabuddin
- Topics
- Pharmacogenetics and Drug Metabolism (9 papers)Analytical Methods in Pharmaceuticals (5 papers)Drug Transport and Resistance Mechanisms (5 papers)
- Cited by
- PharmacologyNeurologyPhysiology
- Partner nations
- South KoreaUnited States
In The Last Decade
Hye-Jung Park
35 papers receiving 539 citations
Peers
Comparison fields: 5 of 118
- Physiology 128
- Molecular Biology 120
- Pharmacology 119
- Neurology 112
- Pharmacology 75
Countries citing papers authored by Hye-Jung Park
This map shows the geographic impact of Hye-Jung 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 Hye-Jung Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hye-Jung Park more than expected).
Fields of papers citing papers by Hye-Jung Park
This network shows the impact of papers produced by Hye-Jung 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 Hye-Jung Park. The network helps show where Hye-Jung Park may publish in the future.
Co-authorship network of co-authors of Hye-Jung Park
This figure shows the co-authorship network connecting the top 25 collaborators of Hye-Jung Park. A scholar is included among the top collaborators of Hye-Jung 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 Hye-Jung Park. Hye-Jung 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 | 9 | |
| 3 | 11 | |
| 4 | 6 | |
| 5 | 12 | |
| 6 | 19 | |
| 7 | 23 | |
| 8 | 4 | |
| 9 | 7 | |
| 10 | 2 | |
| 11 | An analysis of satisfaction index on computer education of university using kernel machine | 1 |
| 12 | 22 | |
| 13 | A kernel machine for estimation of mean and volatility functions | 1 |
| 14 | Analysis of market share attraction data using LS-SVM | 0 |
| 15 | 39 | |
| 16 | A monitoring study of marker contents in the Hwangnyeonhaedok-tang Ex preparations on the market | 5 |
| 17 | Overview for moxibustion-related researches worldwide | 9 |
| 18 | 21 | |
| 19 | Effects on Gene Expressions in the Rat Liver of Aconitine and Aconitum Species. | 2 |
| 20 | Weighted Support Vector Machines for Heteroscedastic Regression | 1 |
About Hye-Jung Park
Hye-Jung Park is a scholar working on Pharmacology, Analytical Chemistry and Biochemistry, having authored 37 papers that have together received 557 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (9 papers), Analytical Methods in Pharmaceuticals (5 papers) and Drug Transport and Resistance Mechanisms (5 papers). The work is most often cited by research in Pharmacology (119 citations), Neurology (112 citations) and Physiology (128 citations). Hye-Jung Park has collaborated with scholars based in South Korea and United States. Frequent co-authors include Seok‐Yong Lee, Choon‐Gon Jang, Yun Jeong Lee, Jung‐Woo Bae, Christopher M. Treleaven, Richard L. Sidman, S. Pablo Sardi, Lamya S. Shihabuddin, Catherine Viel and Bing Wang. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and FEBS Letters.
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.