Sunil Daga
- Transplantation top 1%
- Renal Transplantation Outcomes and Treatments 19
- Health Informatics top 10%
- Nephrology top 10%
- Renal Diseases and Glomerulopathies 8
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- Organ Donation and Transplantation 7
- Palliative Care and End-of-Life Issues 5
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- Organ Transplantation Techniques and Outcomes 6
- Transplantation: Methods and Outcomes 4
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- COVID-19 and Mental Health 4
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- Blood groups and transfusion 4
- Co-authors
- David BriggsRobert HigginsNatasha KhovanovaTorgyn ShaikhinaDaniel ZehnderDavid LoweDaniel A. MitchellRob Higgins
- Journals
- Transplant International (3 papers)Human Immunology (3 papers)Journal of Immunological Methods (2 papers)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Sunil Daga
33 papers receiving 691 citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Transplantation 274
- Health Informatics 16
- Nephrology 66
- Health Information Management 40
- Immunology 145
Countries citing papers authored by Sunil Daga
This map shows the geographic impact of Sunil Daga'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 Sunil Daga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunil Daga more than expected).
Fields of papers citing papers by Sunil Daga
This network shows the impact of papers produced by Sunil Daga. 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 Sunil Daga. The network helps show where Sunil Daga may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sunil Daga, 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 | 2023 | 2 | |
| 2 | 2022 | 4 | |
| 3 | 2022 | 1 | |
| 4 | 2022 | 1 | |
| 5 | 2022 | 7 | |
| 6 | 2021 | 3 | |
| 7 | 2021 | 9 | |
| 8 | 2021 | 3 | |
| 9 | 2021 | 1 | |
| 10 | 2017 | 15 | |
| 11 | 2016 | 8 | |
| 12 | Clinical Relevance of Donor-Specific IgM Antibodies in HLA Incompatible Renal Transplantation: A Retrospective Single-Center Study. | 2016 | 15 |
| 13 | 2015 | 83 | |
| 14 | 2015 | 1 | |
| 15 | 2015 | 39 | |
| 16 | 2014 | 13 | |
| 17 | 2013 | 3 | |
| 18 | 2013 | 10 | |
| 19 | 2013 | 4 | |
| 20 | 2011 | 53 |
About Sunil Daga
Sunil Daga is a scholar working on Transplantation, Nephrology, Hematology, Public Health, Environmental and Occupational Health and Clinical Psychology, having authored 34 papers that have together received 708 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (19 papers), Renal Diseases and Glomerulopathies (8 papers), Organ Donation and Transplantation (7 papers), Organ Transplantation Techniques and Outcomes (6 papers), Palliative Care and End-of-Life Issues (5 papers), COVID-19 and Mental Health (4 papers), Transplantation: Methods and Outcomes (4 papers) and Blood groups and transfusion (4 papers). The work is most often cited by research in Transplantation (274 citations), Health Informatics (16 citations), Nephrology (66 citations), Health Information Management (40 citations) and Immunology (145 citations). Sunil Daga has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include David Briggs, Robert Higgins, Natasha Khovanova, Torgyn Shaikhina, Daniel Zehnder, David Lowe, Daniel A. Mitchell, Rob Higgins, Nithya Krishnan and Richard Borrows. Their work appears in journals such as Transplant International, Human Immunology, Journal of Immunological Methods, Mathematical Biosciences and Journal of Renal Care.
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.