Nitender Goyal
Impact in
- Transplantation top 10%
- Renal Transplantation Outcomes and Treatments
Papers in ⓘ
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- Renal Transplantation Outcomes and Treatments 3
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- Artificial Intelligence in Healthcare and Education 1
- Co-authors
- Het Patel (1 shared paper)Nikhil Agrawal (1 shared paper)Francesca Cardarelli (1 shared paper)Farrukh M. Koraishy (1 shared paper)Krista L. Lentine (1 shared paper)Lesley A. Inker (1 shared paper)Craig E. Gordon (2 shared papers)Andrew S. Levey (2 shared papers)
- Journals
- Seminars in Dialysis (1 paper)Kidney International Reports (1 paper)Kidney International (1 paper)Transplant International (1 paper)Journal of the American College of Cardiology (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Nitender Goyal
12 papers receiving 93 citations
Peers
Comparison fields: 5 of 43
- Transplantation 37
- Nephrology 12
- Hepatology 7
- Health Informatics 1
- Surgery 30
Countries citing papers authored by Nitender Goyal
This map shows the geographic impact of Nitender Goyal'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 Nitender Goyal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nitender Goyal more than expected).
Fields of papers citing papers by Nitender Goyal
This network shows the impact of papers produced by Nitender Goyal. 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 Nitender Goyal. The network helps show where Nitender Goyal may publish in the future.
Co-authors
The 25 scholars most cited alongside Nitender Goyal, 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 | 2018 | 23 | |
| 2 | 2021 | 18 | |
| 3 | 2021 | 15 | |
| 4 | 2018 | 8 | |
| 5 | 2020 | 8 | |
| 6 | 2025 | 6 | |
| 7 | 2020 | 4 | |
| 8 | 2020 | 4 | |
| 9 | 2020 | 3 | |
| 10 | 2021 | 2 | |
| 11 | 2020 | 1 | |
| 12 | 2024 | 1 | |
| 13 | 2024 | 0 | |
| 14 | 2015 | 0 |
About Nitender Goyal
Nitender Goyal is a scholar working on Transplantation, Health Informatics, Modeling and Simulation, Critical Care and Intensive Care Medicine and Nephrology, having authored 14 papers that have together received 93 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (3 papers), Polyomavirus and related diseases (2 papers), Full-Duplex Wireless Communications (2 papers), Organ Donation and Transplantation (2 papers), Neurological Complications and Syndromes (2 papers), Renal and Vascular Pathologies (2 papers), Complement system in diseases (1 paper) and Artificial Intelligence in Healthcare and Education (1 paper). The work is most often cited by research in Transplantation (37 citations), Nephrology (12 citations), Hepatology (7 citations), Health Informatics (1 citation) and Surgery (30 citations). Nitender Goyal has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Het Patel, Nikhil Agrawal, Francesca Cardarelli, Farrukh M. Koraishy, Krista L. Lentine, Lesley A. Inker, Craig E. Gordon, Andrew S. Levey, Anand Srivastava and Paul F. Jacques. Their work appears in journals such as Seminars in Dialysis, Kidney International Reports, Kidney International, Transplant International and Journal of the American College of Cardiology.
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.