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, David M. Turner, P. J. Sinnott, Mark Lazarus, Denise Williams, Argiris Asderakis, Ian S. Roberts, Paul J. Sinnott, 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

AN INVESTIGATION OF POLYM... 1997 2026 2006 2016 1997 400 800 1.2k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
David Sankaran 1.1k 494 373 250 249 10 2.1k
Chris Perrey 937 0.9× 572 1.2× 352 0.9× 289 1.2× 239 1.0× 18 2.0k
P. J. Sinnott 1.3k 1.2× 680 1.4× 389 1.0× 343 1.4× 177 0.7× 27 2.8k
Estela Paz‐Artal 1.1k 1.0× 371 0.8× 370 1.0× 192 0.8× 473 1.9× 96 2.1k
Paul J. Sinnott 923 0.9× 537 1.1× 644 1.7× 291 1.2× 550 2.2× 25 2.5k
David Senitzer 1.1k 1.0× 433 0.9× 149 0.4× 295 1.2× 232 0.9× 115 2.3k
Leigh Keen 892 0.8× 361 0.7× 251 0.7× 285 1.1× 85 0.3× 42 1.9k
Natacha Patey 1.5k 1.4× 918 1.9× 713 1.9× 333 1.3× 268 1.1× 38 3.2k
Volker Witt 967 0.9× 434 0.9× 456 1.2× 523 2.1× 145 0.6× 61 3.4k
Maura Rossetti 580 0.5× 245 0.5× 355 1.0× 218 0.9× 311 1.2× 90 1.6k
Hans Grosse‐Wilde 3.0k 2.8× 597 1.2× 301 0.8× 562 2.2× 285 1.1× 106 4.4k

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

10 of 10 papers shown
1.
Kreisel, Daniel, David Sankaran, Andrew D. Wells, & Laurence A. Turka. (2002). Interleukin-2-mediated Survival and Proliferative Signals are Uncoupled in T Lymphocytes that Fail to Divide after Activation. American Journal of Transplantation. 2(2). 120–128. 6 indexed citations
2.
Kreisel, Daniel, Alexander S. Krupnick, Wilson Y. Szeto, et al.. (2001). A simple method for culturing mouse vascular endothelium. Journal of Immunological Methods. 254(1-2). 31–45. 32 indexed citations
3.
Asderakis, Argiris, David Sankaran, Robert W. Johnson, et al.. (2001). ASSOCIATION OF POLYMORPHISMS IN THE HUMAN INTERFERON -?? AND INTERLEUKIN-10 GENE WITH ACUTE AND CHRONIC KIDNEY TRANSPLANT OUTCOME. Transplantation. 71(5). 674–678. 107 indexed citations
4.
Wells, Andrew D., Matthew C. Walsh, David Sankaran, & Laurence A. Turka. (2000). T Cell Effector Function and Anergy Avoidance Are Quantitatively Linked to Cell Division. The Journal of Immunology. 165(5). 2432–2443. 84 indexed citations
5.
Sankaran, David, Argiris Asderakis, Shazad Q. Ashraf, et al.. (1999). Cytokine gene polymorphisms predict acute graft rejection following renal transplantation. Kidney International. 56(1). 281–288. 250 indexed citations
6.
Asderakis, Argiris, et al.. (1999). IFN-g polymorphism and its impact on delayed graft function of kidney allografts.. Transplantation. 67(7). S48–S48. 2 indexed citations
7.
Hutchinson, Ian V., David M. Turner, David Sankaran, Mohammed R. Awad, & P. J. Sinnott. (1998). Influence of Cytokine Genotypes on Allograft Rejection. Transplantation Proceedings. 30(3). 862–863. 63 indexed citations
8.
Hutchinson, Ian V., et al.. (1998). Cytokine genotypes in allograft rejection: guidelines for immunosuppression. Transplantation Proceedings. 30(8). 3991–3992. 54 indexed citations
9.
Sankaran, David, et al.. (1997). Interaction of kunjin virus with octyl-d-glucoside extracted Vero cell plasma membrane. Journal of Virological Methods. 63(1-2). 167–173. 4 indexed citations
10.
Turner, David M., Denise Williams, David Sankaran, et al.. (1997). AN INVESTIGATION OF POLYMORPHISM IN THE INTERLEUKIN‐10 GENE PROMOTER. European Journal of Immunogenetics. 24(1). 1–8. 1483 indexed citations breakdown →

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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