Laura C. Rosella

12.1k total citations · 3 hit papers
328 papers, 7.5k citations indexed

About

Laura C. Rosella is a scholar working on General Health Professions, Epidemiology and Health. According to data from OpenAlex, Laura C. Rosella has authored 328 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 108 papers in General Health Professions, 107 papers in Epidemiology and 70 papers in Health. Recurrent topics in Laura C. Rosella's work include Health disparities and outcomes (60 papers), Chronic Disease Management Strategies (38 papers) and Influenza Virus Research Studies (31 papers). Laura C. Rosella is often cited by papers focused on Health disparities and outcomes (60 papers), Chronic Disease Management Strategies (38 papers) and Influenza Virus Research Studies (31 papers). Laura C. Rosella collaborates with scholars based in Canada, United States and United Kingdom. Laura C. Rosella's co-authors include Jeffrey C. Kwong, Michael A. Campitelli, Walter P. Wodchis, Douglas G. Manuel, Natasha S. Crowcroft, Kathy Kornas, Vivek Goel, Tiffany Fitzpatrick, Thérèse A. Stukel and Catherine Bornbaum and has published in prestigious journals such as New England Journal of Medicine, JAMA and SHILAP Revista de lepidopterología.

In The Last Decade

Laura C. Rosella

302 papers receiving 7.3k citations

Hit Papers

Acute Myocardial Infarcti... 2016 2026 2019 2022 2018 2016 2019 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laura C. Rosella Canada 46 2.0k 1.5k 1.1k 1.1k 991 328 7.5k
Ly‐Mee Yu United Kingdom 54 2.9k 1.4× 1.0k 0.7× 1.0k 1.0× 1.2k 1.1× 1.1k 1.1× 195 12.4k
Olalekan A. Uthman United Kingdom 53 1.5k 0.8× 2.3k 1.5× 1.3k 1.2× 2.3k 2.2× 1.3k 1.3× 266 9.1k
Sarah J. Clark United States 45 2.1k 1.0× 1.5k 1.0× 1.1k 1.0× 484 0.5× 1.8k 1.8× 254 6.7k
Lorna E. Thorpe United States 41 1.8k 0.9× 1.3k 0.8× 1.0k 1.0× 1.2k 1.2× 608 0.6× 221 5.9k
Elizabeth Allen United Kingdom 45 1.5k 0.7× 2.0k 1.3× 1.1k 1.0× 626 0.6× 647 0.7× 277 11.2k
Yemane Berhane Ethiopia 54 1.9k 0.9× 2.6k 1.7× 1.6k 1.5× 1.6k 1.5× 1.3k 1.3× 380 10.5k
Douglas G. Manuel Canada 52 2.1k 1.1× 2.2k 1.5× 1.9k 1.8× 650 0.6× 1.2k 1.3× 287 8.8k
Mirjam J. Knol Netherlands 37 2.0k 1.0× 658 0.4× 669 0.6× 698 0.7× 805 0.8× 171 7.0k
Mohsen Naghavi United States 41 1.9k 0.9× 2.2k 1.4× 2.1k 2.0× 575 0.5× 920 0.9× 122 12.5k
Evropi Τheodoratou United Kingdom 57 2.6k 1.3× 1.0k 0.7× 1.1k 1.0× 1.2k 1.2× 488 0.5× 187 13.2k

Countries citing papers authored by Laura C. Rosella

Since Specialization
Citations

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

Fields of papers citing papers by Laura C. Rosella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura C. Rosella. 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 Laura C. Rosella. The network helps show where Laura C. Rosella may publish in the future.

Co-authorship network of co-authors of Laura C. Rosella

This figure shows the co-authorship network connecting the top 25 collaborators of Laura C. Rosella. A scholar is included among the top collaborators of Laura C. Rosella 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 Laura C. Rosella. Laura C. Rosella 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
1.
Savage, Rachel, Rinku Sutradhar, Jin Luo, et al.. (2025). Association of loneliness with healthcare transitions and mortality in older adults in Ontario, Canada: a retrospective cohort study. BMJ Open. 15(4). e087804–e087804. 1 indexed citations
2.
Nguyen, David‐Dan, Anju Murayama, Christopher J.D. Wallis, et al.. (2025). Payments to Health Care Professionals and Teaching Hospitals by AI- and Machine Learning–Enabled Medical Device Manufacturers. JAMA. 334(18). 1669–1669.
3.
Malhotra, Armaan K., Amol A. Verma, Husain Shakil, et al.. (2025). Energy Considerations for Scaling Artificial Intelligence Adoption in Medicine: First Do No Harm. NEJM AI. 2(9).
4.
Barrett, Kali, Hannah Chung, Peter Dodek, et al.. (2024). High-cost users after sepsis: a population-based observational cohort study. Critical Care. 28(1). 338–338. 5 indexed citations
5.
Booth, Gillian L., Ghazal S. Fazli, Calvin Ke, et al.. (2024). Rising Prevalence of Gestational Diabetes Mellitus in Ontario: A Population-based Study. Canadian Journal of Diabetes. 48(8). 539–543. 2 indexed citations
6.
Buajitti, Emmalin, et al.. (2024). Integrating equity indicators for hospital reporting metrics. SHILAP Revista de lepidopterología. 3(1). 10–10. 1 indexed citations
9.
Snelgrove, John W., Melody Lam, Tristan Watson, et al.. (2021). Neighbourhood material deprivation and severe maternal morbidity: a population-based cohort study in Ontario, Canada. BMJ Open. 11(10). e046174–e046174. 10 indexed citations
10.
Read, Stephanie H., Laura C. Rosella, Howard Berger, et al.. (2021). BMI and risk of gestational diabetes among women of South Asian and Chinese ethnicity: a population-based study. Diabetologia. 64(4). 805–813. 22 indexed citations
11.
Crowson, Matthew G., Kevin H. Franck, Laura C. Rosella, & Timothy C. Y. Chan. (2021). Predicting Depression From Hearing Loss Using Machine Learning. Ear and Hearing. 42(4). 982–989. 9 indexed citations
12.
Buajitti, Emmalin, et al.. (2021). Characterizing mental health/addictions and assault visits in the year prior to death: a population-based linked cohort study of homicide victims. International Journal for Population Data Science. 6(1). 1410–1410.
13.
Kwong, Jeffrey C., Kevin L. Schwartz, Michael A. Campitelli, et al.. (2018). Acute Myocardial Infarction after Laboratory-Confirmed Influenza Infection. New England Journal of Medicine. 378(4). 345–353. 773 indexed citations breakdown →
14.
Rosella, Laura C., Longdi Fu, Emmalin Buajitti, & Vivek Goel. (2018). Death and Chronic Disease Risk Associated With Poor Life Satisfaction: A Population-Based Cohort Study. American Journal of Epidemiology. 188(2). 323–331. 51 indexed citations
16.
Campbell, Tonya, et al.. (2016). The impact of access to health services on prediabetes awareness: A population-based study. Preventive Medicine. 93. 7–13. 14 indexed citations
17.
Fitzpatrick, Tiffany, Laura C. Rosella, Andrew Calzavara, et al.. (2015). Looking Beyond Income and Education. American Journal of Preventive Medicine. 49(2). 161–171. 150 indexed citations
18.
Taljaard, Monica, Meltem Tuna, Carol Bennett, et al.. (2014). Cardiovascular Disease Population Risk Tool (CVDPoRT): predictive algorithm for assessing CVD risk in the community setting. A study protocol. BMJ Open. 4(10). e006701–e006701. 25 indexed citations
19.
Rosella, Laura C., et al.. (2014). Ethnic disparities in acquiring 2009 pandemic H1N1 influenza: a case–control study. BMC Public Health. 14(1). 214–214. 22 indexed citations
20.
Manuel, Douglas G., Laura C. Rosella, & Thérèse A. Stukel. (2010). Importance of accurately identifying disease in studies using electronic health records. BMJ. 341(aug19 1). c4226–c4226. 112 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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