Nirav Shah
Impact in
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments
- Nephrology top 5%
- Dialysis and Renal Disease Management
- Parathyroid Disorders and Treatments
Papers in
-
- Renal Transplantation Outcomes and Treatments 7
-
- Parathyroid Disorders and Treatments 2
- Dialysis and Renal Disease Management 1
- Co-authors
- Mark L. Unruh (5 shared papers)Beth Piraino (2 shared papers)Judith Y. Bernardini (1 shared paper)Manisha Jhamb (3 shared papers)Jonathan Guerrero Yabes (3 shared papers)Jennifer Lynne Steel (1 shared paper)Mary Amanda Dew (1 shared paper)Kelly V. Liang (1 shared paper)
- Journals
- Clinical Transplantation (4 papers)American Journal of Transplantation (2 papers)Journal of the American Geriatrics Society (1 paper)Peritoneal Dialysis International (1 paper)Advances in Chronic Kidney Disease (1 paper)
- Partner nations
- United StatesSouth Korea
In The Last Decade
Nirav Shah
18 papers receiving 436 citations
Peers
Comparison fields: 5 of 52
- Transplantation 121
- Nephrology 153
- Pathology and Forensic Medicine 53
- Physiology 47
- Urology 13
Countries citing papers authored by Nirav Shah
This map shows the geographic impact of Nirav 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 Nirav Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nirav Shah more than expected).
Fields of papers citing papers by Nirav Shah
This network shows the impact of papers produced by Nirav 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 Nirav Shah. The network helps show where Nirav Shah may publish in the future.
Co-authors
The 25 scholars most cited alongside Nirav 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 | 2013 | 111 | |
| 2 | 2005 | 86 | |
| 3 | 2008 | 55 | |
| 4 | 2017 | 53 | |
| 5 | 2012 | 52 | |
| 6 | 1998 | 23 | |
| 7 | 2013 | 17 | |
| 8 | 2010 | 13 | |
| 9 | 2016 | 9 | |
| 10 | 2021 | 7 | |
| 11 | 2022 | 7 | |
| 12 | 2007 | 6 | |
| 13 | 2019 | 6 | |
| 14 | 2024 | 6 | |
| 15 | 2009 | 3 | |
| 16 | 2007 | 1 | |
| 17 | Kidney Transplant Survival: Transforming Early Post-Transplant Opportunities to Long-Term Success. | 2015 | 1 |
| 18 | 2022 | 1 |
About Nirav Shah
Nirav Shah is a scholar working on Transplantation, Nephrology, Pathology and Forensic Medicine, Oncology and Physiology, having authored 18 papers that have together received 457 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (7 papers), Vitamin D Research Studies (2 papers), Parathyroid Disorders and Treatments (2 papers), Electronic Health Records Systems (1 paper), Urinary Bladder and Prostate Research (1 paper), Cytomegalovirus and herpesvirus research (1 paper), Nitric Oxide and Endothelin Effects (1 paper) and Dialysis and Renal Disease Management (1 paper). The work is most often cited by research in Transplantation (121 citations), Nephrology (153 citations), Pathology and Forensic Medicine (53 citations), Physiology (47 citations) and Urology (13 citations). Nirav Shah has collaborated with scholars based in United States and South Korea. Frequent co-authors include Mark L. Unruh, Beth Piraino, Judith Y. Bernardini, Manisha Jhamb, Jonathan Guerrero Yabes, Jennifer Lynne Steel, Mary Amanda Dew, Kelly V. Liang, Christine M. Wu and Timothy R. Billiar. Their work appears in journals such as Clinical Transplantation, American Journal of Transplantation, Journal of the American Geriatrics Society, Peritoneal Dialysis International and Advances in Chronic Kidney Disease.
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.