Sunil Daga

41 papers receiving 847 citations

Sunil Daga's Hit Papers

Decision tree and random forest models for outcome prediction in antibody incompatible kidney transplantation 2017 · 286 citations
2860+3+6Years since publication50100150200250

Peers

Sunil Daga
Comparison fields: 5 of 146
  • Transplantation 312
  • Health Informatics 15
  • Nephrology 60
  • Health Information Management 39
  • Immunology 127
Replace David P. Lowe with:
David P. Lowe United Kingdom
Torgyn Shaikhina United Kingdom
Hongying Lilian Tang United Kingdom
Rohit Anand India
Shriprasad R. Deshpande United States
Howard R. Doyle United States
Ashish Aggarwal India
Zhensheng Wang China
Syed Ashiqur Rahman United States
Ljubomir J. Buturović United States
Sunil Daga relative to David P. Lowe United Kingdom David P. Lowe's profile →
Citations per field
00.5×1.5×
David P. Lowe · 1×
Citations per year

Countries citing papers authored by Sunil Daga

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Sunil Daga Line = papers co-authored together Sunil Daga links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Decision tree and random forest models for outcome prediction in antibody incompatible kidney transplantation
Hit paper breakdown →
2017286
2 201593
3 201592
4 201164
5 201553
6 201543
7 201837
8 201719
9 201415
10
Clinical Relevance of Donor-Specific IgM Antibodies in HLA Incompatible Renal Transplantation: A Retrospective Single-Center Study.
201615
11 202113
12 201311
13 201611
14 202110
15 20209
16 20159
17 20228
18 20228
19 20216
20 20216

About Sunil Daga

Sunil Daga is a scholar working on Transplantation, Nephrology, Hematology, Public Health, Environmental and Occupational Health and Emergency Medical Services, having authored 44 papers that have together received 861 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (24 papers), Renal Diseases and Glomerulopathies (9 papers), Blood groups and transfusion (6 papers), Organ Transplantation Techniques and Outcomes (6 papers), Organ Donation and Transplantation (5 papers), Transplantation: Methods and Outcomes (4 papers), Palliative Care and End-of-Life Issues (4 papers) and COVID-19 and Mental Health (3 papers). The work is most often cited by research in Transplantation (312 citations), Health Informatics (15 citations), Nephrology (60 citations), Health Information Management (39 citations) and Immunology (127 citations). Sunil Daga has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include David Briggs, David P. Lowe, Robert Higgins, Natalia A. Khovanova, Torgyn Shaikhina, Daniel Zehnder, Daniel A. J. Mitchell, Rob M. Higgins, Nithya Santhana Krishnan and Nithya S. Krishnan. Their work appears in journals such as Human Immunology, Transplant International, Urology, Nephrology Dialysis Transplantation and Journal of Immunological Methods.

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.

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