David Naimark

10.1k total citations · 2 hit papers
115 papers, 4.8k citations indexed

About

David Naimark is a scholar working on Nephrology, Economics and Econometrics and Surgery. According to data from OpenAlex, David Naimark has authored 115 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Nephrology, 25 papers in Economics and Econometrics and 22 papers in Surgery. Recurrent topics in David Naimark's work include Dialysis and Renal Disease Management (27 papers), Health Systems, Economic Evaluations, Quality of Life (20 papers) and Chronic Kidney Disease and Diabetes (16 papers). David Naimark is often cited by papers focused on Dialysis and Renal Disease Management (27 papers), Health Systems, Economic Evaluations, Quality of Life (20 papers) and Chronic Kidney Disease and Diabetes (16 papers). David Naimark collaborates with scholars based in Canada, United States and United Kingdom. David Naimark's co-authors include Murray Krahn, Allan S. Detsky, Gary Naglie, Peter C. Austin, Jack V. Tu, Donald A. Redelmeier, Douglas S. Lee, Peter P. Liu, Jean L. Rouleau and Navdeep Tangri and has published in prestigious journals such as JAMA, Circulation and Journal of Clinical Oncology.

In The Last Decade

David Naimark

108 papers receiving 4.7k 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.

Predicting Mortality Among Patients Hospitalized for Heart Failure

2003 1.0k citations Douglas S. Lee, Peter C. Austin et al. profile →
Age and Association of Kidney Measures With Mortality and End-stage Renal Disease

2012 420 citations David Naimark et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Naimark Canada	33	1.4k	1.2k	877	755	674	115	4.8k
Claudio Rigatto Canada	42	1.4k 1.0×	2.5k 2.1×	954 1.1×	685 0.9×	421 0.6×	175	5.8k
Leslie R. Harrold United States	41	788 0.6×	789 0.7×	818 0.9×	327 0.4×	776 1.2×	168	6.9k
Manish M. Sood Canada	38	1.7k 1.2×	2.7k 2.2×	664 0.8×	1.1k 1.5×	357 0.5×	290	6.5k
Dena E. Rifkin United States	37	1.2k 0.9×	2.0k 1.7×	578 0.7×	672 0.9×	210 0.3×	122	4.4k
David Share United States	38	1.9k 1.4×	879 0.7×	1.9k 2.2×	899 1.2×	540 0.8×	95	4.8k
Paul Komenda Canada	36	832 0.6×	2.4k 2.1×	460 0.5×	617 0.8×	444 0.7×	173	4.3k
Manfred Hecking Austria	33	1.6k 1.2×	2.1k 1.7×	1.3k 1.5×	930 1.2×	238 0.4×	109	6.0k
Paul E. Stevens United Kingdom	38	1.5k 1.1×	4.1k 3.5×	855 1.0×	923 1.2×	527 0.8×	85	7.1k
Bénédicte Stengel France	44	1.3k 0.9×	3.8k 3.2×	547 0.6×	1.1k 1.5×	546 0.8×	168	6.6k
Jiannong Liu United States	29	505 0.4×	2.0k 1.6×	686 0.8×	716 0.9×	301 0.4×	90	3.7k

Countries citing papers authored by David Naimark

Since Specialization

Citations

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

Fields of papers citing papers by David Naimark

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Naimark

This figure shows the co-authorship network connecting the top 25 collaborators of David Naimark. A scholar is included among the top collaborators of David Naimark 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 Naimark. David Naimark 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

Ruangsomboon, Onlak, et al.. (2025). Cost-effectiveness of robotic-assisted versus conventional total knee arthroplasty: an analysis from a middle income country. Acta Orthopaedica. 96. 716–725.

Sud, Maneesh, Peter C. Austin, Husam Abdel‐Qadir, et al.. (2024). Implications of five different risk models in primary prevention guidelines. European Heart Journal - Quality of Care and Clinical Outcomes. 11(4). 388–396. 2 indexed citations

Austin, Peter C., Stephen E. Fremes, Mamas A. Mamas, et al.. (2024). Wait-times benchmarks for risk-based prioritization in transcatheter aortic valve implantation: a simulation study. European Heart Journal - Quality of Care and Clinical Outcomes. 11(1). 10–18. 1 indexed citations

Qiu, Feng, Peter C. Austin, David Naimark, et al.. (2024). Transcatheter Aortic Valve Implantation Wait‐Time Management: Derivation and Validation of the Canadian TAVI Triage Tool (CAN3T). Journal of the American Heart Association. 13(5). e033768–e033768. 1 indexed citations

Udell, Jacob A., Alice Chong, Jiming Fang, et al.. (2024). Time to SGLT2 Inhibitors Initiation in Patients With Heart Failure. Journal of the American Heart Association. 13(8). e032296–e032296. 2 indexed citations

Sud, Maneesh, Peter C. Austin, Husam Abdel‐Qadir, et al.. (2023). Validation of the European SCORE2 models in a Canadian primary care cohort. European Journal of Preventive Cardiology. 31(6). 668–676. 8 indexed citations

Lawani, Lucky Osaheni, et al.. (2023). Direct Effect of Iron Deficiency Independent of Anemia on Adverse Perinatal Outcomes- a Scoping Review. Blood. 142(Supplement 1). 7309–7309.

Sud, Maneesh, Peter C. Austin, Todd J. Anderson, et al.. (2023). Development and Validation of the CANHEART Population-Based Laboratory Prediction Models for Atherosclerotic Cardiovascular Disease. Annals of Internal Medicine. 176(12). 1638–1647. 1 indexed citations

Sud, Maneesh, Peter C. Austin, Husam Abdel‐Qadir, et al.. (2023). VALIDATION OF THE EUROPEAN SCORE2 MODELS IN A CANADIAN PRIMARY CARE COHORT. Canadian Journal of Cardiology. 39(10). S248–S248.

10.

Viceconti, Marco, et al.. (2023). Cost-Effectiveness Analysis of CT-Based Finite Element Modeling for Osteoporosis Screening in Secondary Fracture Prevention: An Early Health Technology Assessment in the Netherlands. MDM Policy & Practice. 8(2). 107949745–107949745. 3 indexed citations

11.

Peel, John K., Shaf Keshavjee, David Naimark, et al.. (2022). Determining the impact of ex-vivo lung perfusion on hospital costs for lung transplantation: A retrospective cohort study. The Journal of Heart and Lung Transplantation. 42(3). 356–367. 16 indexed citations

12.

Sud, Maneesh, Anna Chu, Peter C. Austin, et al.. (2022). Impact of outcome definitions on cardiovascular risk prediction in a contemporary primary prevention population. European Heart Journal - Quality of Care and Clinical Outcomes. 9(4). 427–434. 3 indexed citations

13.

Peel, John K., et al.. (2022). Financial Incentives for Transcatheter Aortic Valve Implantation in Ontario, Canada: A Cost‐Utility Analysis. Journal of the American Heart Association. 11(8). e025085–e025085. 5 indexed citations

14.

Naimark, David, et al.. (2020). The emergency department as a setting‐specific opportunity for population‐based hepatitis C screening: An economic evaluation. Liver International. 40(6). 1282–1291. 19 indexed citations

15.

Iragorri, Nicolas, Carlos Gómez–Restrepo, Kali Barrett, et al.. (2020). COVID-19: Adaptation of a model to predict healthcare resource needs in Valle del Cauca, Colombia. Colombia medica. 51(3). e204534–e204534. 5 indexed citations

16.

Mac, Stephen, Sharmistha Mishra, Raphael Ximenes, et al.. (2020). Modeling the coronavirus disease 2019 pandemic: A comprehensive guide of infectious disease and decision-analytic models. Journal of Clinical Epidemiology. 132. 133–141. 7 indexed citations

17.

Matta, Rano, Joseph LaBossière, Alaina Garbens, et al.. (2018). Multi-channel urodynamic assessment in men with post-prostatectomy urinary incontinence: a cost utility analysis. Neurourology and Urodynamics.

18.

Sud, Maneesh, Navdeep Tangri, Melania Pintilie, Andrew S. Levey, & David Naimark. (2014). Risk of End-Stage Renal Disease and Death After Cardiovascular Events in Chronic Kidney Disease. Circulation. 130(6). 458–465. 57 indexed citations

19.

Wagner, Martin, David Ansell, David M. Kent, et al.. (2011). Predicting Mortality in Incident Dialysis Patients: An Analysis of the United Kingdom Renal Registry. American Journal of Kidney Diseases. 57(6). 894–902. 107 indexed citations

20.

Naimark, David, et al.. (2004). Assessing competency competently: toward a rational standard for competency-to-stand-trial assessments.. PubMed. 32(3). 231–45. 5 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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