David Sankaran

2.4k total citations · 1 hit paper
10 papers, 2.1k citations indexed

About

David Sankaran is a scholar working on Immunology, Surgery and Transplantation. According to data from OpenAlex, David Sankaran has authored 10 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 4 papers in Surgery and 4 papers in Transplantation. Recurrent topics in David Sankaran's work include Renal Transplantation Outcomes and Treatments (4 papers), Organ Transplantation Techniques and Outcomes (4 papers) and T-cell and B-cell Immunology (4 papers). David Sankaran is often cited by papers focused on Renal Transplantation Outcomes and Treatments (4 papers), Organ Transplantation Techniques and Outcomes (4 papers) and T-cell and B-cell Immunology (4 papers). David Sankaran collaborates with scholars based in United Kingdom, United States and Singapore. David Sankaran's co-authors include Ian V. Hutchinson, P. J. Sinnott, David M. Turner, Denise Williams, Mark Lazarus, Paul J. Sinnott, Argiris Asderakis, Ian S. Roberts, Shazad Q. Ashraf and Colin D. Short and has published in prestigious journals such as The Journal of Immunology, Kidney International and Transplantation.

In The Last Decade

David Sankaran

10 papers receiving 2.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

AN INVESTIGATION OF POLYMORPHISM IN THE INTERLEUKIN‐10 GENE PROMOTER

1997 1.5k citations David M. Turner, Denise Williams et al. European Journal of Immunogenetics profile →

Peers

Countries citing papers authored by David Sankaran

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of David Sankaran

This figure shows the co-authorship network connecting the top 25 collaborators of David Sankaran. A scholar is included among the top collaborators of David Sankaran based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Sankaran. David Sankaran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

#	Work	Indexed citations
1	Interleukin-2-mediated Survival and Proliferative Signals are Uncoupled in T Lymphocytes that Fail to Divide after Activation 2002 ·American Journal of Transplantation ·Daniel Kreisel, David Sankaran, Andrew D. Wells, Laurence A. Turka	6
2	A simple method for culturing mouse vascular endothelium 2001 ·Journal of Immunological Methods ·Daniel Kreisel, Alexander S. Krupnick, Wilson Y. Szeto, Sicco H. Popma, David Sankaran, Alyssa M. Krasinskas, Kunjlata M. Amin, (unknown)	32
3	ASSOCIATION OF POLYMORPHISMS IN THE HUMAN INTERFERON -?? AND INTERLEUKIN-10 GENE WITH ACUTE AND CHRONIC KIDNEY TRANSPLANT OUTCOME 2001 ·Transplantation ·Argiris Asderakis, David Sankaran, (unknown), Robert W. Johnson, Vera Pravica, Paul J. Sinnott, Ian S. Roberts, Ian V. Hutchinson	107
4	T Cell Effector Function and Anergy Avoidance Are Quantitatively Linked to Cell Division 2000 ·The Journal of Immunology ·Andrew D. Wells, Matthew C. Walsh, David Sankaran, Laurence A. Turka	84
5	Cytokine gene polymorphisms predict acute graft rejection following renal transplantation 1999 ·Kidney International ·David Sankaran, Argiris Asderakis, Shazad Q. Ashraf, Ian S. Roberts, Colin D. Short, Philip Dyer, Paul J. Sinnott, Ian V. Hutchinson	250
6	IFN-g polymorphism and its impact on delayed graft function of kidney allografts. 1999 ·Transplantation ·Argiris Asderakis, David Sankaran, P. J. Sinnott, (unknown), I. V. Hutchinson, Robert W. Johnson	2
7	Cytokine genotypes in allograft rejection: guidelines for immunosuppression 1998 ·Transplantation Proceedings ·Ian V. Hutchinson, David M. Turner, David Sankaran, (unknown), Vera Pravica, P. J. Sinnott	54
8	Influence of Cytokine Genotypes on Allograft Rejection 1998 ·Transplantation Proceedings ·Ian V. Hutchinson, David M. Turner, David Sankaran, Mohammed R. Awad, P. J. Sinnott	63
9	Interaction of kunjin virus with octyl-d-glucoside extracted Vero cell plasma membrane 1997 ·Journal of Virological Methods ·David Sankaran, (unknown), Mah Lee Ng	4
10	AN INVESTIGATION OF POLYMORPHISM IN THE INTERLEUKIN‐10 GENE PROMOTER breakdown → 1997 ·European Journal of Immunogenetics ·David M. Turner, Denise Williams, David Sankaran, Mark Lazarus, P. J. Sinnott, Ian V. Hutchinson	1483

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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