Kushani Jayasinghe
Impact in
- Nephrology top 2%
- Acute Kidney Injury Research
- Chronic Kidney Disease and Diabetes
- Renal Diseases and Glomerulopathies
- Dialysis and Renal Disease Management
Papers in
-
- Renal Diseases and Glomerulopathies 5
- Chronic Kidney Disease and Diabetes 2
- Genetics 4
- Genomics and Rare Diseases 4
- BRCA gene mutations in cancer 2
- Co-authors
- Kevan R. Polkinghorne (2 shared papers)Michael Bailey (1 shared paper)David W. Johnson (1 shared paper)Nigel D. Toussaint (1 shared paper)Emily See (1 shared paper)Neil J. Glassford (1 shared paper)Rinaldo Bellomo (1 shared paper)Catherine Quinlan (12 shared papers)
- Journals
- Kidney International Reports (3 papers)European Journal of Human Genetics (2 papers)Nephrology (2 papers)BMJ Open (1 paper)Kidney International (1 paper)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Kushani Jayasinghe
14 papers receiving 509 citations
Kushani Jayasinghe's Hit Papers
Peers
Comparison fields: 5 of 59
- Nephrology 295
- Critical Care and Intensive Care Medicine 13
- Transplantation 7
- Genetics 59
- Clinical Biochemistry 12
Countries citing papers authored by Kushani Jayasinghe
This map shows the geographic impact of Kushani Jayasinghe'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 Kushani Jayasinghe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kushani Jayasinghe more than expected).
Fields of papers citing papers by Kushani Jayasinghe
This network shows the impact of papers produced by Kushani Jayasinghe. 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 Kushani Jayasinghe. The network helps show where Kushani Jayasinghe may publish in the future.
Co-authors
The 25 scholars most cited alongside Kushani Jayasinghe, 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 | Long-term risk of adverse outcomes after acute kidney injury: a systematic review and meta-analysis of cohort studies using consensus definitions of exposure Hit paper breakdown → | 2018 | 360 |
| 2 | 2020 | 41 | |
| 3 | 2021 | 28 | |
| 4 | 2018 | 19 | |
| 5 | 2023 | 13 | |
| 6 | 2023 | 13 | |
| 7 | 2019 | 12 | |
| 8 | 2019 | 12 | |
| 9 | 2022 | 8 | |
| 10 | 2025 | 3 | |
| 11 | 2025 | 3 | |
| 12 | 2018 | 1 | |
| 13 | 2025 | 1 | |
| 14 | 2019 | 1 | |
| 15 | 2024 | 0 |
About Kushani Jayasinghe
Kushani Jayasinghe is a scholar working on Nephrology, Genetics, Molecular Biology, Public Health, Environmental and Occupational Health and General Health Professions, having authored 15 papers that have together received 515 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (5 papers), Genomics and Rare Diseases (4 papers), Renal and related cancers (3 papers), Ethics in Clinical Research (2 papers), BRCA gene mutations in cancer (2 papers), Chronic Kidney Disease and Diabetes (2 papers), Health Policy Implementation Science (1 paper) and Health Systems, Economic Evaluations, Quality of Life (1 paper). The work is most often cited by research in Nephrology (295 citations), Critical Care and Intensive Care Medicine (13 citations), Transplantation (7 citations), Genetics (59 citations) and Clinical Biochemistry (12 citations). Kushani Jayasinghe has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Kevan R. Polkinghorne, Michael Bailey, David W. Johnson, Nigel D. Toussaint, Emily See, Neil J. Glassford, Rinaldo Bellomo, Catherine Quinlan, Zornitza Stark and Peter G. Kerr. Their work appears in journals such as Kidney International Reports, European Journal of Human Genetics, Nephrology, BMJ Open and Kidney International.
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.