Kai‐Cheng Hsu
- Molecular Biology top 5%
- Oncology top 10%
- Organic Chemistry top 5%
- Electrical and Electronic Engineering top 10%
- Computational Theory and Mathematics top 2%
- Co-authors
- Jinn‐Moon YangYen‐Fu ChenTony Eight LinMing-Dou KerHao‐Ching WangJing‐Ping LiouAndrew H.‐J. WangShiow‐Lin Pan
- Topics
- Computational Drug Discovery Methods (24 papers)Histone Deacetylase Inhibitors Research (19 papers)Peptidase Inhibition and Analysis (12 papers)
- Journals
- Nucleic Acids ResearchJournal of Biological ChemistryAngewandte Chemie International Edition
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Kai‐Cheng Hsu
151 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Molecular Biology 1.5k
- Oncology 399
- Organic Chemistry 392
- Electrical and Electronic Engineering 355
- Computational Theory and Mathematics 291
Countries citing papers authored by Kai‐Cheng Hsu
This map shows the geographic impact of Kai‐Cheng Hsu'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 Kai‐Cheng Hsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai‐Cheng Hsu more than expected).
Fields of papers citing papers by Kai‐Cheng Hsu
This network shows the impact of papers produced by Kai‐Cheng Hsu. 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 Kai‐Cheng Hsu. The network helps show where Kai‐Cheng Hsu may publish in the future.
Co-authorship network of co-authors of Kai‐Cheng Hsu
This figure shows the co-authorship network connecting the top 25 collaborators of Kai‐Cheng Hsu. A scholar is included among the top collaborators of Kai‐Cheng Hsu 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 Kai‐Cheng Hsu. Kai‐Cheng Hsu 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 | 1 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 14 | |
| 9 | 16 | |
| 10 | 13 | |
| 11 | 2 | |
| 12 | 7 | |
| 13 | 1 | |
| 14 | 35 | |
| 15 | 33 | |
| 16 | 4 | |
| 17 | 43 | |
| 18 | 53 | |
| 19 | 6 | |
| 20 | 12 |
About Kai‐Cheng Hsu
Kai‐Cheng Hsu is a scholar working on Computational Theory and Mathematics, Molecular Biology and Oncology, having authored 159 papers that have together received 3.0k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (24 papers), Histone Deacetylase Inhibitors Research (19 papers) and Peptidase Inhibition and Analysis (12 papers). The work is most often cited by research in Molecular Biology (1.5k citations), Computational Theory and Mathematics (291 citations) and Toxicology (57 citations). Kai‐Cheng Hsu has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Jinn‐Moon Yang, Yen‐Fu Chen, Tony Eight Lin, Ming-Dou Ker, Hao‐Ching Wang, Jing‐Ping Liou, Andrew H.‐J. Wang, Shiow‐Lin Pan, Ming-Jer Young and Jan‐Jong Hung. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Angewandte Chemie International Edition.
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.