Jui‐Hua Hsieh
- Health, Toxicology and Mutagenesis top 2%
- Molecular Biology
- Computational Theory and Mathematics top 2%
- Small Animals top 2%
- Cancer Research top 10%
- Co-authors
- Raymond R. TiceMamta BehlScott S. AuerbachNisha S. SipesRuili HuangMenghang XiaJonathan H. FreedmanWindy A. Boyd
- Topics
- Computational Drug Discovery Methods (19 papers)Animal testing and alternatives (14 papers)Carcinogens and Genotoxicity Assessment (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaEnvironmental Science & TechnologyPLoS ONE
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Jui‐Hua Hsieh
52 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 118
- Health, Toxicology and Mutagenesis 534
- Molecular Biology 415
- Computational Theory and Mathematics 290
- Small Animals 188
- Cancer Research 180
Countries citing papers authored by Jui‐Hua Hsieh
This map shows the geographic impact of Jui‐Hua 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‐Hua 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‐Hua Hsieh more than expected).
Fields of papers citing papers by Jui‐Hua Hsieh
This network shows the impact of papers produced by Jui‐Hua 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‐Hua Hsieh. The network helps show where Jui‐Hua Hsieh may publish in the future.
Co-authorship network of co-authors of Jui‐Hua Hsieh
This figure shows the co-authorship network connecting the top 25 collaborators of Jui‐Hua Hsieh. A scholar is included among the top collaborators of Jui‐Hua 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‐Hua Hsieh. Jui‐Hua 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 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 29 | |
| 7 | 34 | |
| 8 | 15 | |
| 9 | 11 | |
| 10 | 127 | |
| 11 | 23 | |
| 12 | 18 | |
| 13 | 30 | |
| 14 | 59 | |
| 15 | 7 | |
| 16 | 8 | |
| 17 | 15 | |
| 18 | 53 | |
| 19 | 36 | |
| 20 | 22 |
About Jui‐Hua Hsieh
Jui‐Hua Hsieh is a scholar working on Small Animals, Health, Toxicology and Mutagenesis and Computational Theory and Mathematics, having authored 54 papers that have together received 1.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (19 papers), Animal testing and alternatives (14 papers) and Carcinogens and Genotoxicity Assessment (9 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (534 citations), Small Animals (188 citations) and Computational Theory and Mathematics (290 citations). Jui‐Hua Hsieh has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Raymond R. Tice, Mamta Behl, Scott S. Auerbach, Nisha S. Sipes, Ruili Huang, Menghang Xia, Jonathan H. Freedman, Windy A. Boyd, Julie R. Rice and Kristen Ryan. Their work appears in journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and PLoS ONE.
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.