David N. Rush

15.8k total citations · 4 hit papers
145 papers, 8.8k citations indexed

About

David N. Rush is a scholar working on Transplantation, Surgery and Nephrology. According to data from OpenAlex, David N. Rush has authored 145 papers receiving a total of 8.8k indexed citations (citations by other indexed papers that have themselves been cited), including 111 papers in Transplantation, 68 papers in Surgery and 39 papers in Nephrology. Recurrent topics in David N. Rush's work include Renal Transplantation Outcomes and Treatments (111 papers), Organ Transplantation Techniques and Outcomes (55 papers) and Renal Diseases and Glomerulopathies (25 papers). David N. Rush is often cited by papers focused on Renal Transplantation Outcomes and Treatments (111 papers), Organ Transplantation Techniques and Outcomes (55 papers) and Renal Diseases and Glomerulopathies (25 papers). David N. Rush collaborates with scholars based in Canada, United States and Switzerland. David N. Rush's co-authors include Peter Nickerson, John Jeffery, Ian W. Gibson, Martin Karpinski, Julie Ho, Chris Wiebe, Patricia E. Birk, Rachel M. McKenna, J Gough and Paul C. Grimm and has published in prestigious journals such as New England Journal of Medicine, Journal of Biological Chemistry and Kidney International.

In The Last Decade

David N. Rush

143 papers receiving 8.6k 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.

Evolution and Clinical Pathologic Correlations of De Novo Donor-Specific HLA Antibody Post Kidney Transplant

2012 752 citations Chris Wiebe, Ian W. Gibson et al. American Journal of Transplantation profile →
The evaluation of renal transplantation candidates: clinical practice guidelines.

2001 515 citations Bertram L. Kasiske, Charles B. Cangro et al. PubMed profile →
Evidence for Antibody-Mediated Injury as a Major Determinant of Late Kidney Allograft Failure

2010 381 citations Robert S. Gaston, J. Michael Cecka et al. Transplantation profile →
Rates and Determinants of Progression to Graft Failure in Kidney Allograft Recipients With De Novo Donor-Specific Antibody

2015 266 citations Chris Wiebe, Ian W. Gibson et al. American Journal of Transplantation profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
David N. Rush Canada	47	6.4k	4.1k	2.1k	1.4k	1.2k	145	8.8k
Denis Glotz France	50	6.0k 0.9×	3.8k 0.9×	2.2k 1.1×	1.2k 0.9×	1.2k 1.0×	206	9.0k
Maarten Naesens Belgium	55	5.1k 0.8×	3.0k 0.7×	2.1k 1.0×	1.2k 0.8×	977 0.8×	242	9.0k
Johan W. de Fijter Netherlands	57	5.2k 0.8×	3.4k 0.8×	1.9k 0.9×	1.3k 1.0×	1.6k 1.3×	323	11.1k
Brian J. Nankivell Australia	39	4.5k 0.7×	2.8k 0.7×	1.4k 0.7×	1.0k 0.7×	785 0.7×	103	6.9k
Josep M. Grinyó Spain	57	7.3k 1.1×	4.1k 1.0×	1.7k 0.8×	1.6k 1.2×	2.2k 1.9×	285	11.7k
Dany Anglicheau France	47	4.3k 0.7×	2.4k 0.6×	1.9k 0.9×	864 0.6×	996 0.9×	213	7.9k
George W. Burke United States	48	3.5k 0.6×	3.2k 0.8×	1.2k 0.6×	907 0.7×	1.1k 1.0×	293	7.4k
Daniel Serón Spain	43	3.6k 0.6×	2.2k 0.5×	1.6k 0.8×	947 0.7×	796 0.7×	226	6.1k
Fernando G. Cosio United States	53	3.7k 0.6×	2.6k 0.6×	3.8k 1.8×	1.4k 1.0×	762 0.7×	143	9.4k
Roslyn B. Mannon United States	45	3.9k 0.6×	2.5k 0.6×	904 0.4×	920 0.7×	965 0.8×	205	7.6k

Countries citing papers authored by David N. Rush

Since Specialization

Citations

This map shows the geographic impact of David N. Rush'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 N. Rush with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David N. Rush more than expected).

Fields of papers citing papers by David N. Rush

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David N. Rush. 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 N. Rush. The network helps show where David N. Rush may publish in the future.

Co-authorship network of co-authors of David N. Rush

This figure shows the co-authorship network connecting the top 25 collaborators of David N. Rush. A scholar is included among the top collaborators of David N. Rush 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 N. Rush. David N. Rush is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Wong, Emmett Tsz Yeung, Robert Balshaw, Ian W. Gibson, et al.. (2024). HLA-DQ de novo donor-specific antibody development and its effect on renal allograft survival. Human Immunology. 85. 110989–110989.

Wiebe, Chris, Robert Balshaw, Jared Bullard, et al.. (2024). Association of BKV viremia and nephropathy with adverse alloimmune outcomes in kidney transplant recipients. Clinical Transplantation. 38(5). e15329–e15329. 5 indexed citations

Wiebe, Chris, Robert Balshaw, Ian W. Gibson, et al.. (2023). A rational approach to guide cost-effective de novo donor-specific antibody surveillance with tacrolimus immunosuppression. American Journal of Transplantation. 23(12). 1882–1892. 9 indexed citations

Gibson, Ian W., Julie Ho, Peter Nickerson, et al.. (2020). Early surveillance biopsy utilization and management of pediatric renal allograft acute T cell–mediated rejection in Canadian centers: Observations from the PROBE multicenter cohort study. Pediatric Transplantation. 25(2). e13870–e13870. 8 indexed citations

Matas, Arthur J., Erika S. Helgeson, Robert S. Gaston, et al.. (2020). Inflammation in areas of fibrosis: The DeKAF prospective cohort. American Journal of Transplantation. 20(9). 2509–2521. 15 indexed citations

Helgeson, Erika S., Roslyn B. Mannon, Joseph P. Grande, et al.. (2020). i-IFTA and chronic active T cell–mediated rejection: A tale of 2 (DeKAF) cohorts. American Journal of Transplantation. 21(5). 1866–1877. 12 indexed citations

Nickerson, Peter, Robert Balshaw, Chris Wiebe, et al.. (2020). A noninferiority design for a delayed calcineurin inhibitor substitution trial in kidney transplantation. American Journal of Transplantation. 21(4). 1503–1512. 2 indexed citations

Sharma, Atul, et al.. (2019). Non‐invasive differentiation of non‐rejection kidney injury from acute rejection in pediatric renal transplant recipients. Pediatric Transplantation. 23(3). e13364–e13364. 8 indexed citations

Ho, Julie, David N. Rush, Oleg V. Krokhin, et al.. (2015). Elevated Urinary Matrix Metalloproteinase-7 Detects Underlying Renal Allograft Inflammation and Injury. Transplantation. 100(3). 648–654. 22 indexed citations

10.

Naylor, Kyla L., Lisa M. Lix, Didier Hans, et al.. (2015). Trabecular bone score in kidney transplant recipients. Osteoporosis International. 27(3). 1115–1121. 41 indexed citations

11.

Hricik, Donald E., Joshua J. Augustine, Emilio D. Poggio, et al.. (2014). Rabbit ATG Induction Overcomes the Negative Influence of Pretransplant Memory T Cells On Posttransplant GFR: Results From the CTOT01 Kidney Transplant Trial.. Transplantation. 98. 892–893. 1 indexed citations

12.

Wiebe, Chris, Denise Pochinco, Tom Blydt‐Hansen, et al.. (2013). Class II HLA Epitope Matching—A Strategy to Minimize De Novo Donor-Specific Antibody Development and Improve Outcomes. American Journal of Transplantation. 13(12). 3114–3122. 269 indexed citations

13.

Rush, David N.. (2013). The impact of calcineurin inhibitors on graft survival. Transplantation Reviews. 27(3). 93–95. 33 indexed citations

14.

Kasiske, Bertram L., Robert S. Gaston, Sita Gourishankar, et al.. (2005). Long-Term Deterioration of Kidney Allograft Function. American Journal of Transplantation. 5(6). 1405–1414. 90 indexed citations

15.

Danovitch, Gabriel M., Sundaram Hariharan, John D. Pirsch, et al.. (2002). Management of the Waiting List for Cadaveric Kidney Transplants. Journal of the American Society of Nephrology. 13(2). 528–535. 81 indexed citations

16.

Schmidt, Palle Nordblad, Bertram L. Kasiske, Charles B. Cangro, et al.. (2001). The Evaluation of the Renal Transplant Candidates: Clinical Practice Guidelines. American Journal of Transplantation. 1. 1–95. 60 indexed citations

17.

Karpinski, Martin, David N. Rush, John Jeffery, et al.. (2001). Flow Cytometric Crossmatching in Primary Renal Transplant Recipients with a Negative Anti-Human Globulin Enhanced Cytotoxicity Crossmatch. Journal of the American Society of Nephrology. 12(12). 2807–2814. 169 indexed citations

18.

Rush, David N., et al.. (2000). Subclinical rejection--a potential surrogate marker for chronic rejection--may be diagnosed by protocol biopsy or urine spectroscopy.. PubMed. 5(2). 44–9. 55 indexed citations

19.

Chakrabarti, Subrata, et al.. (1994). Loss of Anionic Sites on the Glomerular Basement Membrane in Transplant Glomerulopathy. The Nephron journals/Nephron journals. 66(2). 136–139. 1 indexed citations

20.

Zanke, Brent W., David N. Rush, J Jeffery, & L. G. Israels. (1989). HTLV-1 T cell lymphoma in a cyclosporine-treated renal transplant patient.. PubMed. 48(4). 695–7. 31 indexed citations

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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