David Sankaran
Impact in
- Transplantation top 1%
- Renal Transplantation Outcomes and Treatments
- Immunology top 2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune Response and Inflammation
Papers in
-
- T-cell and B-cell Immunology 4
- Immune Cell Function and Interaction 3
- Atherosclerosis and Cardiovascular Diseases 1
- Surgery 4
- Organ Transplantation Techniques and Outcomes 4
- Transplantation: Methods and Outcomes 2
- Co-authors
- Ian V. Hutchinson (5 shared papers)David M. Turner (3 shared papers)P. J. Sinnott (4 shared papers)Mark Lazarus (1 shared paper)Denise Williams (1 shared paper)Ian S. Roberts (2 shared papers)Paul J. Sinnott (2 shared papers)Argiris Asderakis (3 shared papers)
- Journals
- Transplantation (2 papers)The Journal of Immunology (1 paper)Kidney International (1 paper)Journal of Immunological Methods (1 paper)American Journal of Transplantation (1 paper)
- Partner nations
- United KingdomUnited StatesSingapore
In The Last Decade
David Sankaran
10 papers receiving 2.0k citations
David Sankaran's Hit Papers
Peers
Comparison fields: 5 of 89
- Transplantation 249
- Immunology 1.1k
- Hepatology 183
- Rheumatology 225
- Epidemiology 494
Countries citing papers authored by David Sankaran
This map shows the geographic impact of David Sankaran'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 David Sankaran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Sankaran more than expected).
Fields of papers citing papers by David Sankaran
This network shows the impact of papers produced by David Sankaran. 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 David Sankaran. The network helps show where David Sankaran may publish in the future.
Co-authors
The 25 scholars most cited alongside David Sankaran, 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 | AN INVESTIGATION OF POLYMORPHISM IN THE INTERLEUKIN‐10 GENE PROMOTER Hit paper breakdown → | 1997 | 1483 |
| 2 | 1999 | 250 | |
| 3 | 2001 | 107 | |
| 4 | 2000 | 84 | |
| 5 | 1998 | 63 | |
| 6 | 1998 | 54 | |
| 7 | 2001 | 32 | |
| 8 | 2002 | 6 | |
| 9 | 1997 | 4 | |
| 10 | 1999 | 2 |
About David Sankaran
David Sankaran is a scholar working on Immunology, Surgery, Transplantation, Oncology and Epidemiology, having authored 10 papers that have together received 2.1k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Renal Transplantation Outcomes and Treatments (4 papers), Organ Transplantation Techniques and Outcomes (4 papers), Immune Cell Function and Interaction (3 papers), Transplantation: Methods and Outcomes (2 papers), Atherosclerosis and Cardiovascular Diseases (1 paper), Cytomegalovirus and herpesvirus research (1 paper) and Bacteriophages and microbial interactions (1 paper). The work is most often cited by research in Transplantation (249 citations), Immunology (1.1k citations), Hepatology (183 citations), Rheumatology (225 citations) and Epidemiology (494 citations). David Sankaran has collaborated with scholars based in United Kingdom, United States and Singapore. Frequent co-authors include Ian V. Hutchinson, David M. Turner, P. J. Sinnott, Mark Lazarus, Denise Williams, Ian S. Roberts, Paul J. Sinnott, Argiris Asderakis, Colin D. Short and Philip Dyer. Their work appears in journals such as Transplantation, The Journal of Immunology, Kidney International, Journal of Immunological Methods and American Journal of Transplantation.
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.