Jui‐Hua Hsieh
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- Toxic Organic Pollutants Impact 8
- Effects and risks of endocrine disrupting chemicals 5
- Small Animals top 2%
- Animal testing and alternatives 14
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- Computational Drug Discovery Methods 19
- Cancer Research top 10%
- Carcinogens and Genotoxicity Assessment 9
- Chemical Health and Safety top 10%
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- Receptor Mechanisms and Signaling 6
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- Pesticide Exposure and Toxicity 5
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- Zebrafish Biomedical Research Applications 5
- Co-authors
- Raymond R. TiceMamta BehlScott S. AuerbachNisha S. SipesRuili HuangMenghang XiaJonathan H. FreedmanWindy A. Boyd
- Journals
- SHILAP Revista de lepidopterología (1 paper)Environmental Science & Technology (3 papers)PLoS ONE (1 paper)
- 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
- Small Animals 188
- Computational Theory and Mathematics 290
- Cancer Research 180
- Chemical Health and Safety 7
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
The 25 scholars most cited alongside Jui‐Hua Hsieh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 1 | |
| 6 | 2021 | 29 | |
| 7 | 2021 | 34 | |
| 8 | 2021 | 15 | |
| 9 | 2019 | 11 | |
| 10 | 2018 | 127 | |
| 11 | 2017 | 23 | |
| 12 | 2017 | 18 | |
| 13 | 2017 | 30 | |
| 14 | 2016 | 59 | |
| 15 | 2016 | 7 | |
| 16 | 2016 | 8 | |
| 17 | 2015 | 15 | |
| 18 | 2015 | 53 | |
| 19 | 2014 | 36 | |
| 20 | 2012 | 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), Carcinogens and Genotoxicity Assessment (9 papers), Toxic Organic Pollutants Impact (8 papers), Receptor Mechanisms and Signaling (6 papers), Pesticide Exposure and Toxicity (5 papers), Zebrafish Biomedical Research Applications (5 papers) and Effects and risks of endocrine disrupting chemicals (5 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.