Jason Au
Impact in
- Urology top 5%
- Urological Disorders and Treatments
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- Pediatric Urology and Nephrology Studies
- Assisted Reproductive Technology and Twin Pregnancy
Papers in
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- Reproductive Biology and Fertility 14
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- Pediatric Urology and Nephrology Studies 8
- Prenatal Screening and Diagnostics 3
- Co-authors
- Parvaneh Saeedi (18 shared papers)Jon Havelock (18 shared papers)Reza Moradi Rad (9 shared papers)David R. Roth (10 shared papers)Chester J. Koh (10 shared papers)Amarjot Singh (2 shared papers)Patricio C. Gargollo (6 shared papers)Dolores J. Lamb (1 shared paper)
- Journals
- Urology (6 papers)Journal of Pediatric Urology (4 papers)The Journal of Urology (3 papers)IEEE Transactions on Biomedical Engineering (2 papers)Journal of Vascular Surgery (2 papers)
- Partner nations
- United StatesCanadaSouth Korea
In The Last Decade
Jason Au
46 papers receiving 751 citations
Peers
Comparison fields: 5 of 76
- Urology 95
- Pediatrics, Perinatology and Child Health 206
- Reproductive Medicine 64
- Public Health, Environmental and Occupational Health 190
- Health Informatics 8
Countries citing papers authored by Jason Au
This map shows the geographic impact of Jason Au'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 Jason Au with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason Au more than expected).
Fields of papers citing papers by Jason Au
This network shows the impact of papers produced by Jason Au. 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 Jason Au. The network helps show where Jason Au may publish in the future.
Co-authors
The 25 scholars most cited alongside Jason Au, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 67 | |
| 2 | 2015 | 63 | |
| 3 | 2020 | 61 | |
| 4 | 2017 | 57 | |
| 5 | 2014 | 48 | |
| 6 | 2015 | 42 | |
| 7 | 2018 | 37 | |
| 8 | 2019 | 30 | |
| 9 | 2017 | 27 | |
| 10 | 2016 | 26 | |
| 11 | 2018 | 26 | |
| 12 | 2018 | 25 | |
| 13 | 2018 | 25 | |
| 14 | 2019 | 22 | |
| 15 | 2004 | 21 | |
| 16 | 2017 | 18 | |
| 17 | 2018 | 16 | |
| 18 | 2009 | 15 | |
| 19 | 2018 | 14 | |
| 20 | 2018 | 13 |
About Jason Au
Jason Au is a scholar working on Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health, Molecular Biology, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition, having authored 48 papers that have together received 762 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (14 papers), Pediatric Urology and Nephrology Studies (8 papers), AI in cancer detection (6 papers), Urological Disorders and Treatments (4 papers), Renal and related cancers (3 papers), Prenatal Screening and Diagnostics (3 papers), Ovarian function and disorders (3 papers) and Polyomavirus and related diseases (2 papers). The work is most often cited by research in Urology (95 citations), Pediatrics, Perinatology and Child Health (206 citations), Reproductive Medicine (64 citations), Public Health, Environmental and Occupational Health (190 citations) and Health Informatics (8 citations). Jason Au has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Parvaneh Saeedi, Jon Havelock, Reza Moradi Rad, David R. Roth, Chester J. Koh, Amarjot Singh, Patricio C. Gargollo, Dolores J. Lamb, Abhishek Seth and Alireza A. Shamshirsaz. Their work appears in journals such as Urology, Journal of Pediatric Urology, The Journal of Urology, IEEE Transactions on Biomedical Engineering and Journal of Vascular Surgery.
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.