Jason Au

1.1k citations
48 papers · 744 · h-index 17

Impact in

Papers in

Jason Au

45 papers receiving 733 citations

Peers

Jason Au
Comparison fields: 5 of 84
  • Urology 154
  • Pediatrics, Perinatology and Child Health 238
  • Reproductive Medicine 76
  • Health Informatics 10
  • Public Health, Environmental and Occupational Health 205
Replace Rena Ohno with:
Rena Ohno Japan
Hiroyuki Sugimori Japan
Stefano Gidaro Italy
Naciye Sinem Gezer Türkiye
Marie E. Edwards United States
Barry Goldberg United States
Arthur Hung United States
Dominik S. Schoeb Germany
Ahmet Savranlar Türkiye
Jason Au relative to Rena Ohno Japan Rena Ohno's profile →
Citations per field
00.5×8.9×
Rena Ohno · 1×
Citations per year

Countries citing papers authored by Jason Au

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jason Au Line = papers co-authored together Jason Au links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201562
2 202061
3 201759
4 201757
5 201448
6 201541
7 201836
8 201930
9 201626
10 201726
11 201826
12 201825
13 201824
14 201922
15 200420
16 201718
17 201816
18 200915
19 201814
20 201813

About Jason Au

Jason Au is a scholar working on Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health, Urology, Pulmonary and Respiratory Medicine and Surgery, having authored 48 papers that have together received 744 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (15 papers), Urological Disorders and Treatments (11 papers), Pediatric Urology and Nephrology Studies (10 papers), AI in cancer detection (6 papers), Ovarian function and disorders (3 papers), Renal and related cancers (3 papers), Prenatal Screening and Diagnostics (3 papers) and Sperm and Testicular Function (3 papers). The work is most often cited by research in Urology (154 citations), Pediatrics, Perinatology and Child Health (238 citations), Reproductive Medicine (76 citations), Health Informatics (10 citations) and Public Health, Environmental and Occupational Health (205 citations). Jason Au has collaborated with scholars based in Canada, United States and South Korea. Frequent co-authors include Parvaneh Saeedi, Jon Havelock, Reza Moradi Rad, Amarjot Singh, Chester J. Koh, David R. Roth, Patricio C. Gargollo, Dolores J. Lamb, Abhishek Seth and Darrell L. Cass. Their work appears in journals such as Urology, Journal of Pediatric Urology, The Journal of Urology, Journal of Vascular Surgery and IEEE Transactions on Biomedical Engineering.

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.

Explore authors with similar magnitude of impact