Kwang‐Su Park
- Molecular Biology top 5%
- Oncology top 10%
- Organic Chemistry top 10%
- Hematology top 5%
- Pharmacology top 10%
- Co-authors
- Jian JinYouhoon ChongH. Ümit KanıskanBrandon DaleYue XiongMeng ChengHyunah ChooMi Kyoung Kim
- Topics
- Protein Degradation and Inhibitors (16 papers)Ubiquitin and proteasome pathways (11 papers)Peptidase Inhibition and Analysis (7 papers)
- Cited by
- Molecular BiologyHematologyOncology
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Kwang‐Su Park
85 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Molecular Biology 1.6k
- Oncology 439
- Organic Chemistry 202
- Hematology 186
- Pharmacology 118
Countries citing papers authored by Kwang‐Su Park
This map shows the geographic impact of Kwang‐Su 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 Kwang‐Su Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kwang‐Su Park more than expected).
Fields of papers citing papers by Kwang‐Su Park
This network shows the impact of papers produced by Kwang‐Su 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 Kwang‐Su Park. The network helps show where Kwang‐Su Park may publish in the future.
Co-authorship network of co-authors of Kwang‐Su Park
This figure shows the co-authorship network connecting the top 25 collaborators of Kwang‐Su Park. A scholar is included among the top collaborators of Kwang‐Su 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 Kwang‐Su Park. Kwang‐Su 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 | 0 | |
| 3 | 2 | |
| 4 | 26 | |
| 5 | 39 | |
| 6 | 32 | |
| 7 | 96 | |
| 8 | 91 | |
| 9 | Advancing targeted protein degradation for cancer therapybreakdown → | 425 |
| 10 | 3 | |
| 11 | 2 | |
| 12 | 46 | |
| 13 | 1 | |
| 14 | Physicochemical characteristics and electric conductivity of various fruit wines. | 12 |
| 15 | 8 | |
| 16 | 6 | |
| 17 | 12 | |
| 18 | 14 | |
| 19 | S-adenosyl-L-methionine analogues to enhance the production of actinorhodin | 2 |
| 20 | The Comparison and Use of Yield Models in Semiconductor Manufacturing | 1 |
About Kwang‐Su Park
Kwang‐Su Park is a scholar working on Biochemistry, Virology and Hepatology, having authored 89 papers that have together received 2.4k indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (16 papers), Ubiquitin and proteasome pathways (11 papers) and Peptidase Inhibition and Analysis (7 papers). The work is most often cited by research in Molecular Biology (1.6k citations), Hematology (186 citations) and Oncology (439 citations). Kwang‐Su Park has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Jian Jin, Youhoon Chong, H. Ümit Kanıskan, Brandon Dale, Yue Xiong, Meng Cheng, Hyunah Choo, Mi Kyoung Kim, Mi Kyoung Kim and Gang Greg Wang. Their work appears in journals such as Journal of the American Chemical Society, Nucleic Acids Research and Nature reviews. Cancer.
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.