Natalie McCormick

2.9k total citations · 2 hit papers
58 papers, 2.0k citations indexed

About

Natalie McCormick is a scholar working on Nephrology, Pathology and Forensic Medicine and Epidemiology. According to data from OpenAlex, Natalie McCormick has authored 58 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Nephrology, 17 papers in Pathology and Forensic Medicine and 15 papers in Epidemiology. Recurrent topics in Natalie McCormick's work include Gout, Hyperuricemia, Uric Acid (37 papers), Liver Disease Diagnosis and Treatment (13 papers) and Alcohol Consumption and Health Effects (12 papers). Natalie McCormick is often cited by papers focused on Gout, Hyperuricemia, Uric Acid (37 papers), Liver Disease Diagnosis and Treatment (13 papers) and Alcohol Consumption and Health Effects (12 papers). Natalie McCormick collaborates with scholars based in Canada, United States and New Zealand. Natalie McCormick's co-authors include J. Antonio Aviña‐Zubieta, Diane Lacaille, Hyon K. Choi, Vidula Bhole, Chio Yokose, K. Sharan, Yuqing Zhang, Na Lu, Na Lu and Gary C. Curhan and has published in prestigious journals such as JAMA, Annals of Internal Medicine and PLoS ONE.

In The Last Decade

Natalie McCormick

55 papers receiving 2.0k citations

Hit Papers

Validity of Diagnostic Codes for Acute Stroke in Administ... 2015 2026 2018 2022 2015 2023 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Natalie McCormick Canada 23 847 512 368 361 351 58 2.0k
Vidula Bhole Canada 14 631 0.7× 402 0.8× 367 1.0× 415 1.1× 473 1.3× 14 1.9k
Jameela A. Kari Saudi Arabia 26 952 1.1× 209 0.4× 169 0.5× 185 0.5× 259 0.7× 127 2.1k
Atiporn Ingsathit Thailand 26 663 0.8× 406 0.8× 146 0.4× 173 0.5× 239 0.7× 93 2.0k
Manish D. Sinha United Kingdom 25 735 0.9× 250 0.5× 192 0.5× 934 2.6× 450 1.3× 156 2.9k
James A. Sloand United States 24 1.1k 1.4× 234 0.5× 413 1.1× 231 0.6× 257 0.7× 73 2.4k
Sean Robbins United States 16 466 0.6× 428 0.8× 377 1.0× 290 0.8× 192 0.5× 23 2.0k
Jessica Kendrick United States 28 1.4k 1.6× 292 0.6× 129 0.4× 317 0.9× 452 1.3× 92 2.8k
Valerie Teal United States 27 1.0k 1.2× 682 1.3× 176 0.5× 738 2.0× 329 0.9× 50 2.6k
Eric N. van Roon Netherlands 25 368 0.4× 255 0.5× 371 1.0× 152 0.4× 640 1.8× 92 2.0k
Colin Geddes United Kingdom 31 1.4k 1.6× 443 0.9× 139 0.4× 388 1.1× 681 1.9× 112 3.3k

Countries citing papers authored by Natalie McCormick

Since Specialization
Citations

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

Fields of papers citing papers by Natalie McCormick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalie McCormick

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

All Works

20 of 20 papers shown
2.
Sharan, K., Hyon K. Choi, Na Lu, et al.. (2025). Proinflammatory Dietary Pattern and the Risk of Female Gout: Sex‐Specific Findings From Three Prospective Cohort Studies. Arthritis & Rheumatology. 77(8). 1077–1086. 1 indexed citations
3.
McCormick, Natalie, Amit D. Joshi, Chio Yokose, et al.. (2024). Prediagnostic Amino Acid Metabolites and Risk of Gout, Accounting for Serum Urate: Prospective Cohort Study and Mendelian Randomization. Arthritis Care & Research. 76(12). 1666–1674.
6.
Yokose, Chio, Natalie McCormick, Minna J. Kohler, et al.. (2024). Serum urate change among gout patients treated with sodium-glucose cotransporter type 2 inhibitors vs. sulfonylurea: A comparative effectiveness analysis. Seminars in Arthritis and Rheumatism. 66. 152441–152441. 2 indexed citations
7.
Joshi, Amit D., Natalie McCormick, Chio Yokose, et al.. (2023). Prediagnostic Glycoprotein Acetyl Levels and Incident and Recurrent Flare Risk Accounting for Serum Urate Levels: A Population‐Based, Prospective Study and Mendelian Randomization Analysis. Arthritis & Rheumatology. 75(9). 1648–1657. 10 indexed citations
8.
McCormick, Natalie, Chio Yokose, Jie Wei, et al.. (2023). Comparative Effectiveness of Sodium–Glucose Cotransporter-2 Inhibitors for Recurrent Gout Flares and Gout-Primary Emergency Department Visits and Hospitalizations. Annals of Internal Medicine. 176(8). 1067–1080. 25 indexed citations
9.
Melles, Ronald B., April Jorge, Michael F. Marmor, et al.. (2023). Hydroxychloroquine Dose and Risk for Incident Retinopathy. Annals of Internal Medicine. 176(2). 166–173. 24 indexed citations
11.
McCormick, Natalie, Chio Yokose, & Hyon K. Choi. (2023). What Drives the Contemporary Black–White Racial Disparities in Gout in the US? Impact of Social Determinants of Health. MDPI (MDPI AG). 1(2). 99–114. 4 indexed citations
12.
Choi, Hyon K., Natalie McCormick, & Chio Yokose. (2021). Excess comorbidities in gout: the causal paradigm and pleiotropic approaches to care. Nature Reviews Rheumatology. 18(2). 97–111. 75 indexed citations
13.
Jorge, April, Natalie McCormick, Na Lu, et al.. (2020). Hydroxychloroquine and Mortality Among Patients With Systemic Lupus Erythematosus in the General Population. Arthritis Care & Research. 73(8). 1219–1223. 28 indexed citations
14.
D’Silva, Kristin M., April Jorge, A. N. Cohen, et al.. (2020). COVID‐19 Outcomes in Patients With Systemic Autoimmune Rheumatic Diseases Compared to the General Population: A US Multicenter, Comparative Cohort Study. Arthritis & Rheumatology. 73(6). 914–920. 93 indexed citations
15.
Yokose, Chio, Natalie McCormick, Clara Chen, et al.. (2019). Risk of gout flares after vaccination: a prospective case cross-over study. Annals of the Rheumatic Diseases. 78(11). 1601–1604. 17 indexed citations
16.
Yokose, Chio, Na Lu, Hui Xie, et al.. (2019). Heart disease and the risk of allopurinol-associated severe cutaneous adverse reactions: a general population–based cohort study. Canadian Medical Association Journal. 191(39). E1070–E1077. 15 indexed citations
17.
McCormick, Natalie, Carlo A. Marra, Mohsen Sadatsafavi, & J. Antonio Aviña‐Zubieta. (2019). Socioeconomic status at diagnosis influences the incremental direct medical costs of systemic lupus erythematosus: A longitudinal population-based study. Seminars in Arthritis and Rheumatism. 50(1). 77–83. 8 indexed citations
18.
McCormick, Natalie, et al.. (2019). Canadians’ views on the use of routinely collected data in health research: a patient-oriented cross-sectional survey. CMAJ Open. 7(2). E203–E209. 11 indexed citations
20.
Sharan, K., J. Antonio Aviña‐Zubieta, Natalie McCormick, et al.. (2016). The rising prevalence and incidence of gout in British Columbia, Canada: Population-based trends from 2000 to 2012. Seminars in Arthritis and Rheumatism. 46(4). 451–456. 91 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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