Chyi‐Hung Hsu
- Statistics and Probability top 2%
- Management Science and Operations Research top 5%
- Molecular Biology
- Economics and Econometrics
- Endocrinology, Diabetes and Metabolism
- Co-authors
- José Paulo PinheiroBjörn BornkampDamayanthi DevineniFrank BretzBrenda K. MontgomeryMonica Ligueros‐SaylanJames F. McLeodAnn D. Horowitz
- Topics
- Statistical Methods in Clinical Trials (5 papers)Drug Transport and Resistance Mechanisms (3 papers)Diabetes Treatment and Management (3 papers)
- Cited by
- Statistics and ProbabilityManagement Science and Operations ResearchEndocrinology, Diabetes and Metabolism
- Journals
- The Journal of Clinical Endocrinology & MetabolismBritish Journal of PharmacologyJournal of Pharmaceutical Sciences
- Partner nations
- United StatesBelgiumSwitzerland
In The Last Decade
Chyi‐Hung Hsu
15 papers receiving 299 citations
Peers
Comparison fields: 5 of 66
- Statistics and Probability 144
- Management Science and Operations Research 94
- Molecular Biology 92
- Economics and Econometrics 57
- Endocrinology, Diabetes and Metabolism 51
Countries citing papers authored by Chyi‐Hung Hsu
This map shows the geographic impact of Chyi‐Hung 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 Chyi‐Hung Hsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chyi‐Hung Hsu more than expected).
Fields of papers citing papers by Chyi‐Hung Hsu
This network shows the impact of papers produced by Chyi‐Hung 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 Chyi‐Hung Hsu. The network helps show where Chyi‐Hung Hsu may publish in the future.
Co-authorship network of co-authors of Chyi‐Hung Hsu
This figure shows the co-authorship network connecting the top 25 collaborators of Chyi‐Hung Hsu. A scholar is included among the top collaborators of Chyi‐Hung 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 Chyi‐Hung Hsu. Chyi‐Hung 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 | 6 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 8 | |
| 9 | 27 | |
| 10 | 5 | |
| 11 | 125 | |
| 12 | 31 | |
| 13 | 24 | |
| 14 | 76 | |
| 15 | 6 |
About Chyi‐Hung Hsu
Chyi‐Hung Hsu is a scholar working on Statistics and Probability, Endocrinology, Diabetes and Metabolism and Management Science and Operations Research, having authored 15 papers that have together received 326 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (5 papers), Drug Transport and Resistance Mechanisms (3 papers) and Diabetes Treatment and Management (3 papers). The work is most often cited by research in Statistics and Probability (144 citations), Management Science and Operations Research (94 citations) and Endocrinology, Diabetes and Metabolism (51 citations). Chyi‐Hung Hsu has collaborated with scholars based in United States, Belgium and Switzerland. Frequent co-authors include José Paulo Pinheiro, Björn Bornkamp, Damayanthi Devineni, Frank Bretz, Brenda K. Montgomery, Monica Ligueros‐Saylan, James F. McLeod, Ann D. Horowitz, Steven E. Kahn and Alex Dmitrienko. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, British Journal of Pharmacology and Journal of Pharmaceutical Sciences.
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.