Tyler Williamson

7.2k total citations · 1 hit paper
226 papers, 4.0k citations indexed

About

Tyler Williamson is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health and General Health Professions. According to data from OpenAlex, Tyler Williamson has authored 226 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Epidemiology, 44 papers in Public Health, Environmental and Occupational Health and 42 papers in General Health Professions. Recurrent topics in Tyler Williamson's work include Chronic Disease Management Strategies (30 papers), Medical Coding and Health Information (21 papers) and Hematopoietic Stem Cell Transplantation (17 papers). Tyler Williamson is often cited by papers focused on Chronic Disease Management Strategies (30 papers), Medical Coding and Health Information (21 papers) and Hematopoietic Stem Cell Transplantation (17 papers). Tyler Williamson collaborates with scholars based in Canada, United States and Australia. Tyler Williamson's co-authors include Richard Birtwhistle, Neil Drummond, Stephanie Garies, Scott B. Patten, Michael Green, Hude Quan, Pietro Ravani, Michael D. Hill, Gordon H. Fick and Mingkai Peng and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Gastroenterology.

In The Last Decade

Tyler Williamson

213 papers receiving 3.9k citations

Hit Papers

Adverse childhood experiences: a meta‐analysis of prevale... 2023 2026 2024 2025 2023 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tyler Williamson Canada 34 1.1k 795 600 413 410 226 4.0k
Joe Kai United Kingdom 35 521 0.5× 888 1.1× 978 1.6× 334 0.8× 502 1.2× 147 4.5k
Davies Adeloye United Kingdom 38 1.1k 1.0× 615 0.8× 630 1.1× 138 0.3× 270 0.7× 88 5.5k
Catherine Quantin France 38 1.2k 1.1× 787 1.0× 456 0.8× 309 0.7× 651 1.6× 326 5.7k
Kazem Mohammad Iran 38 877 0.8× 984 1.2× 995 1.7× 349 0.8× 287 0.7× 210 5.1k
Stanley Xu United States 28 722 0.7× 603 0.8× 622 1.0× 163 0.4× 283 0.7× 105 3.1k
Thomas McGinn United States 34 1.0k 0.9× 767 1.0× 1.1k 1.9× 185 0.4× 1.1k 2.7× 123 6.6k
Nirav R. Shah United States 32 717 0.7× 1.0k 1.3× 1.0k 1.7× 211 0.5× 709 1.7× 128 6.0k
Eddy Lang Canada 44 1.2k 1.1× 867 1.1× 1.4k 2.4× 342 0.8× 1.2k 3.0× 335 8.1k
Mulugeta Gebregziabher United States 39 1.3k 1.2× 616 0.8× 841 1.4× 246 0.6× 429 1.0× 217 5.3k
Adit A. Ginde United States 42 1.2k 1.1× 1.0k 1.3× 1.5k 2.4× 281 0.7× 547 1.3× 214 7.8k

Countries citing papers authored by Tyler Williamson

Since Specialization
Citations

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

Fields of papers citing papers by Tyler Williamson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tyler Williamson

This figure shows the co-authorship network connecting the top 25 collaborators of Tyler Williamson. A scholar is included among the top collaborators of Tyler Williamson 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 Tyler Williamson. Tyler Williamson 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
3.
Cheng, Brianna, Anabel Selemon, Reza Hosseini, et al.. (2024). Adherence of SARS‐CoV‐2 Seroepidemiologic Studies to the ROSES‐S Reporting Guideline During the COVID‐19 Pandemic. Influenza and Other Respiratory Viruses. 18(7). e13283–e13283.
4.
Pham, Anh Nguyet, Claire Barber, Neil Drummond, et al.. (2024). Development and validation of a rheumatoid arthritis case definition: a machine learning approach using data from primary care electronic medical records. BMC Medical Informatics and Decision Making. 24(1). 360–360. 2 indexed citations
5.
Hollis, Aidan, et al.. (2024). Social network risk factors and COVID-19 vaccination: A cross-sectional survey study. Vaccine. 42(4). 891–911. 5 indexed citations
6.
King, James A., Jeffrey A. Bakal, Bing Li, et al.. (2023). Variation in Testing for and Incidence of Celiac Autoimmunity in Canada: A Population-Based Study. Gastroenterology. 164(4). 567–578.e7. 7 indexed citations
7.
Zhu, Jenney, Sheri Madigan, Audrey‐Ann Deneault, et al.. (2023). 6.41 Adverse Childhood Experiences (ACEs): A Meta-Analysis of Prevalence and Moderators Among Half a Million Adults in 206 Samples. Journal of the American Academy of Child & Adolescent Psychiatry. 62(10). S299–S299.
8.
Weaver, Colin, Tyler Williamson, Kerry McBrien, et al.. (2022). Reporting of Model Performance and Statistical Methods in Studies That Use Machine Learning to Develop Clinical Prediction Models: Protocol for a Systematic Review. JMIR Research Protocols. 11(3). e30956–e30956. 5 indexed citations
9.
Quan, Hude, Danielle A. Southern, Erik Youngson, et al.. (2022). Validity of ICD-10 codes for COVID-19 patients with hospital admissions or ED visits in Canada: a retrospective cohort study. BMJ Open. 12(1). e057838–e057838. 23 indexed citations
10.
Williamson, Tyler, Kareem Jamani, Ahsan Chaudhry, et al.. (2021). Risk Factors for the Incidence of and the Mortality due to Post-Transplant Lymphoproliferative Disorder after Hematopoietic Cell Transplantation. Transplantation and Cellular Therapy. 28(1). 53.e1–53.e10. 15 indexed citations
11.
Cave, Andrew, Anh Nguyet Pham, Cliff Lindeman, et al.. (2021). Chronic obstructive pulmonary disease as a risk factor in primary care: a Canadian retrospective cohort study. npj Primary Care Respiratory Medicine. 31(1). 37–37. 7 indexed citations
12.
Wong, Sabrina T., Alan Katz, Tyler Williamson, et al.. (2020). Can Linked Electronic Medical Record and Administrative Data Help Us Identify Those Living with Frailty?. International Journal for Population Data Science. 5(1). 1343–1343. 10 indexed citations
13.
Garies, Stephanie, Brian Forst, Kerry McBrien, et al.. (2019). Achieving quality primary care data: a description of the Canadian Primary Care Sentinel Surveillance Network data capture, extraction, and processing in Alberta. International Journal for Population Data Science. 4(2). 1132–1132. 9 indexed citations
14.
Williamson, Tyler, Raymond Tellier, Ahsan Chaudhry, et al.. (2017). Risk factors for post‐transplant lymphoproliferative disorder after Thymoglobulin‐conditioned hematopoietic cell transplantation. Clinical Transplantation. 32(1). 21 indexed citations
15.
Cave, Andrew, Heather Sharpe, A. Dean Befus, et al.. (2016). Primary Care Pathway for Childhood Asthma: Protocol for a Randomized Cluster-Controlled Trial. JMIR Research Protocols. 5(1). e37–e37. 10 indexed citations
16.
Garies, Stephanie, et al.. (2015). Using EMR data to evaluate a physician-developed lifestyle plan for obese patients in primary care.. PubMed. 61(5). e225–31. 5 indexed citations
17.
Garies, Stephanie, et al.. (2013). Improving usability of smoking data in EMR systems. Canadian Family Physician. 59(1). 108–108. 2 indexed citations
18.
Drummond, Neil, et al.. (2012). Interprofessional primary care in academic family medicine clinics. Canadian Family Physician. 58(8). 5 indexed citations
19.
Williamson, Tyler, et al.. (2011). Family physician and obstetrician episiotomy rates in low-risk obstetrics in southern Alberta.. PubMed. 57(4). 450–6. 5 indexed citations
20.
Leon, Alexander R. de, Andrea Soo, & Tyler Williamson. (2011). Classification with discrete and continuous variables via general mixed-data models. Journal of Applied Statistics. 38(5). 1021–1032. 15 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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