Nikhil Shah
- Nephrology top 5%
- Dialysis and Renal Disease Management 10
- Transplantation top 10%
- Renal Transplantation Outcomes and Treatments 2
- Health top 10%
- Emergency Medical Services top 10%
- Central Venous Catheters and Hemodialysis 6
- General Health Professions top 10%
- Geriatric Care and Nursing Homes 2
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- Health Systems, Economic Evaluations, Quality of Life 3
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- Muscle and Compartmental Disorders 2
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- Infant Development and Preterm Care 2
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- Neonatal Respiratory Health Research 2
- Co-authors
- Ikechi G. OkpechiDavid W. JohnsonYeoungjee ChoMuhammad MakusidiVivekanand JhaHtay HtayPaul J. PhelanMichelle N. Rheault
- Cited by
- NephrologyTransplantationHealth
- Journals
- Canadian Journal of Kidney Health and Disease (2 papers)Peritoneal Dialysis International (2 papers)Nephrology (2 papers)
- Partner nations
- CanadaUnited KingdomIndia
In The Last Decade
Nikhil Shah
17 papers receiving 381 citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Nephrology 175
- Transplantation 35
- Health 58
- Emergency Medical Services 49
- General Health Professions 109
Countries citing papers authored by Nikhil Shah
This map shows the geographic impact of Nikhil Shah'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 Nikhil Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikhil Shah more than expected).
Fields of papers citing papers by Nikhil Shah
This network shows the impact of papers produced by Nikhil Shah. 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 Nikhil Shah. The network helps show where Nikhil Shah may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nikhil Shah, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 5 | |
| 4 | Epidemiology of peritoneal dialysis outcomesbreakdown → | 2022 | 107 |
| 5 | 2022 | 19 | |
| 6 | 2021 | 3 | |
| 7 | 2020 | 3 | |
| 8 | 2019 | 8 | |
| 9 | 2019 | 43 | |
| 10 | 2018 | 6 | |
| 11 | 2017 | 108 | |
| 12 | 2017 | 12 | |
| 13 | 2017 | 17 | |
| 14 | 2017 | 2 | |
| 15 | 2016 | 19 | |
| 16 | 2016 | 3 | |
| 17 | 2016 | 28 | |
| 18 | 2015 | 2 | |
| 19 | 2010 | 10 |
About Nikhil Shah
Nikhil Shah is a scholar working on Nephrology, Emergency Medical Services and Transplantation, having authored 19 papers that have together received 395 indexed citations. Recurring topics across this work include Dialysis and Renal Disease Management (10 papers), Central Venous Catheters and Hemodialysis (6 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Muscle and Compartmental Disorders (2 papers), Renal Transplantation Outcomes and Treatments (2 papers), Infant Development and Preterm Care (2 papers), Neonatal Respiratory Health Research (2 papers) and Geriatric Care and Nursing Homes (2 papers). The work is most often cited by research in Nephrology (175 citations), Transplantation (35 citations) and Health (58 citations). Nikhil Shah has collaborated with scholars based in Canada, United Kingdom and India. Frequent co-authors include Ikechi G. Okpechi, David W. Johnson, Yeoungjee Cho, Muhammad Makusidi, Vivekanand Jha, Htay Htay, Paul J. Phelan, Michelle N. Rheault, Joel Michels Topf and Mohamed A. Osman. Their work appears in journals such as Canadian Journal of Kidney Health and Disease, Peritoneal Dialysis International, Nephrology, American Journal of Nephrology and Clinical Journal of the American Society of Nephrology.
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.