Jui‐Cheng Hsieh
- Pathology and Forensic Medicine top 0.5%
- Genetics top 2%
- Molecular Biology top 10%
- Nutrition and Dietetics top 1%
- Nephrology top 1%
- Co-authors
- Mark R. HausslerPeter W. JurutkaCarol A. HausslerG. Kerr WhitfieldIchiro KanekoDavid HsiehMichael A. GalliganPaul D. Thompson
- Topics
- Vitamin D Research Studies (26 papers)Estrogen and related hormone effects (14 papers)Retinoids in leukemia and cellular processes (12 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- United StatesJapan
In The Last Decade
Jui‐Cheng Hsieh
34 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Pathology and Forensic Medicine 2.1k
- Genetics 926
- Molecular Biology 910
- Nutrition and Dietetics 641
- Nephrology 442
Countries citing papers authored by Jui‐Cheng Hsieh
This map shows the geographic impact of Jui‐Cheng Hsieh'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 Jui‐Cheng Hsieh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jui‐Cheng Hsieh more than expected).
Fields of papers citing papers by Jui‐Cheng Hsieh
This network shows the impact of papers produced by Jui‐Cheng Hsieh. 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 Jui‐Cheng Hsieh. The network helps show where Jui‐Cheng Hsieh may publish in the future.
Co-authorship network of co-authors of Jui‐Cheng Hsieh
This figure shows the co-authorship network connecting the top 25 collaborators of Jui‐Cheng Hsieh. A scholar is included among the top collaborators of Jui‐Cheng Hsieh 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 Jui‐Cheng Hsieh. Jui‐Cheng Hsieh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 137 | |
| 2 | 6 | |
| 3 | 68 | |
| 4 | 107 | |
| 5 | 137 | |
| 6 | 134 | |
| 7 | 16 | |
| 8 | 233 | |
| 9 | 138 | |
| 10 | 109 | |
| 11 | 71 | |
| 12 | 144 | |
| 13 | 25 | |
| 14 | 26 | |
| 15 | 21 | |
| 16 | 84 | |
| 17 | 84 | |
| 18 | 49 | |
| 19 | 11 | |
| 20 | 2 |
About Jui‐Cheng Hsieh
Jui‐Cheng Hsieh is a scholar working on Pathology and Forensic Medicine, Nephrology and Urology, having authored 34 papers that have together received 3.2k indexed citations. Recurring topics across this work include Vitamin D Research Studies (26 papers), Estrogen and related hormone effects (14 papers) and Retinoids in leukemia and cellular processes (12 papers). The work is most often cited by research in Pathology and Forensic Medicine (2.1k citations), Nephrology (442 citations) and Nutrition and Dietetics (641 citations). Jui‐Cheng Hsieh has collaborated with scholars based in United States and Japan. Frequent co-authors include Mark R. Haussler, Peter W. Jurutka, Carol A. Haussler, G. Kerr Whitfield, G. Kerr Whitfield, Ichiro Kaneko, David Hsieh, Michael A. Galligan, Paul D. Thompson and Sanford Selznick. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.