Eric Au
Impact in
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments
- Nephrology top 10%
Papers in
- Oncology 8
- Viral-associated cancers and disorders 6
- Polyomavirus and related diseases 5
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- Renal Transplantation Outcomes and Treatments 6
- Co-authors
- Germaine Wong (17 shared papers)Jeremy R. Chapman (4 shared papers)Armando Teixeira‐Pinto (10 shared papers)Wai H. Lim (9 shared papers)Jonathan C. Craig (8 shared papers)Allison Tong (5 shared papers)Wen Chen (1 shared paper)Tasnim Hasan (1 shared paper)
- Journals
- Transplantation (4 papers)Transplant International (3 papers)American Journal of Kidney Diseases (3 papers)Kidney International Reports (3 papers)Cochrane Database of Systematic Reviews (2 papers)
- Partner nations
- AustraliaUnited StatesBrazil
In The Last Decade
Eric Au
21 papers receiving 612 citations
Peers
Comparison fields: 5 of 65
- Transplantation 111
- Nephrology 65
- Infectious Diseases 117
- Oncology 162
- Cardiology and Cardiovascular Medicine 69
Countries citing papers authored by Eric Au
This map shows the geographic impact of Eric 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 Eric Au with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Au more than expected).
Fields of papers citing papers by Eric Au
This network shows the impact of papers produced by Eric 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 Eric Au. The network helps show where Eric Au may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 150 | |
| 2 | 2019 | 92 | |
| 3 | 2021 | 86 | |
| 4 | 2007 | 71 | |
| 5 | 2018 | 64 | |
| 6 | 2020 | 29 | |
| 7 | 2017 | 21 | |
| 8 | 2021 | 18 | |
| 9 | 2022 | 15 | |
| 10 | 2009 | 13 | |
| 11 | 2020 | 12 | |
| 12 | 2019 | 12 | |
| 13 | 2023 | 10 | |
| 14 | 2022 | 9 | |
| 15 | 2018 | 8 | |
| 16 | 2022 | 4 | |
| 17 | 2022 | 3 | |
| 18 | 2022 | 2 | |
| 19 | 2023 | 2 | |
| 20 | 2025 | 2 |
About Eric Au
Eric Au is a scholar working on Oncology, Transplantation, Nephrology, Infectious Diseases and Public Health, Environmental and Occupational Health, having authored 26 papers that have together received 624 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (6 papers), Viral-associated cancers and disorders (6 papers), Polyomavirus and related diseases (5 papers), Dialysis and Renal Disease Management (3 papers), Transplantation: Methods and Outcomes (2 papers), Organ Donation and Transplantation (2 papers), Multiple and Secondary Primary Cancers (1 paper) and Artificial Intelligence in Healthcare (1 paper). The work is most often cited by research in Transplantation (111 citations), Nephrology (65 citations), Infectious Diseases (117 citations), Oncology (162 citations) and Cardiology and Cardiovascular Medicine (69 citations). Eric Au has collaborated with scholars based in Australia, United States and Brazil. Frequent co-authors include Germaine Wong, Jeremy R. Chapman, Armando Teixeira‐Pinto, Wai H. Lim, Jonathan C. Craig, Allison Tong, Wen Chen, Tasnim Hasan, Stephen P. McDonald and Shahid Ullah. Their work appears in journals such as Transplantation, Transplant International, American Journal of Kidney Diseases, Kidney International Reports and Cochrane Database of Systematic Reviews.
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.