Jui-Te Wu
Impact in
- Reproductive Medicine top 5%
- Sperm and Testicular Function
- Ovarian function and disorders
- Physiology top 10%
- Reproductive biology and impacts on aquatic species
Papers in
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- Reproductive Biology and Fertility 6
-
- Sperm and Testicular Function 6
- Co-authors
- Feng‐Pang Cheng (8 shared papers)Sarah K. Brown (2 shared papers)Niels C. Pedersen (2 shared papers)Benjamin N. Sacks (2 shared papers)Danielle Stephens (1 shared paper)Oliver Berry (1 shared paper)Kwong‐Chung Tung (3 shared papers)Wei‐Ming Lee (2 shared papers)
- Journals
- Theriogenology (2 papers)IEEE Access (2 papers)Animal Reproduction Science (2 papers)Veterinary Anaesthesia and Analgesia (1 paper)Reproductive Biology (1 paper)
- Partner nations
- TaiwanNetherlandsUnited States
In The Last Decade
Jui-Te Wu
17 papers receiving 326 citations
Peers
Comparison fields: 5 of 74
- Reproductive Medicine 144
- Physiology 32
- Genetics 145
- Equine 8
- Virology 19
Countries citing papers authored by Jui-Te Wu
This map shows the geographic impact of Jui-Te Wu'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-Te Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jui-Te Wu more than expected).
Fields of papers citing papers by Jui-Te Wu
This network shows the impact of papers produced by Jui-Te Wu. 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-Te Wu. The network helps show where Jui-Te Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jui-Te Wu, 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 | 2013 | 64 | |
| 2 | 2011 | 51 | |
| 3 | 2005 | 45 | |
| 4 | 2004 | 42 | |
| 5 | 2011 | 30 | |
| 6 | 2011 | 18 | |
| 7 | 2005 | 16 | |
| 8 | 2005 | 16 | |
| 9 | 2018 | 15 | |
| 10 | 2016 | 13 | |
| 11 | Genotyping of Canine Parvovirus Type 2 VP2 Gene in Southern Taiwan in 2011 | 2013 | 8 |
| 12 | 2017 | 5 | |
| 13 | 2017 | 3 | |
| 14 | 2022 | 2 | |
| 15 | 2024 | 1 | |
| 16 | 2012 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2014 | 1 | |
| 19 | Benefits of Intraluminal Agarose Stents during End-to-End Intestinal Anastomosis in New Zealand White Rabbits. | 2017 | 1 |
| 20 | 2025 | 0 |
About Jui-Te Wu
Jui-Te Wu is a scholar working on Public Health, Environmental and Occupational Health, Reproductive Medicine, Genetics, Small Animals and Ecology, having authored 20 papers that have together received 333 indexed citations. Recurring topics across this work include Sperm and Testicular Function (6 papers), Reproductive Biology and Fertility (6 papers), Veterinary Pharmacology and Anesthesia (2 papers), Virus-based gene therapy research (2 papers), Wildlife Ecology and Conservation (2 papers), Rabies epidemiology and control (2 papers), Congenital Heart Disease Studies (2 papers) and Parasitic Infections and Diagnostics (2 papers). The work is most often cited by research in Reproductive Medicine (144 citations), Physiology (32 citations), Genetics (145 citations), Equine (8 citations) and Virology (19 citations). Jui-Te Wu has collaborated with scholars based in Taiwan, Netherlands and United States. Frequent co-authors include Feng‐Pang Cheng, Sarah K. Brown, Niels C. Pedersen, Benjamin N. Sacks, Danielle Stephens, Oliver Berry, Kwong‐Chung Tung, Wei‐Ming Lee, B. Colenbrander and Danika L. Bannasch. Their work appears in journals such as Theriogenology, IEEE Access, Animal Reproduction Science, Veterinary Anaesthesia and Analgesia and Reproductive Biology.
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.