Michael J. Schull

14.6k total citations · 3 hit papers
222 papers, 9.4k citations indexed

About

Michael J. Schull is a scholar working on Emergency Medicine, General Health Professions and Economics and Econometrics. According to data from OpenAlex, Michael J. Schull has authored 222 papers receiving a total of 9.4k indexed citations (citations by other indexed papers that have themselves been cited), including 119 papers in Emergency Medicine, 77 papers in General Health Professions and 46 papers in Economics and Econometrics. Recurrent topics in Michael J. Schull's work include Emergency and Acute Care Studies (105 papers), Healthcare Policy and Management (41 papers) and Trauma and Emergency Care Studies (34 papers). Michael J. Schull is often cited by papers focused on Emergency and Acute Care Studies (105 papers), Healthcare Policy and Management (41 papers) and Trauma and Emergency Care Studies (34 papers). Michael J. Schull collaborates with scholars based in Canada, United States and United Kingdom. Michael J. Schull's co-authors include Marian J. Vermeulen, Donald A. Redelmeier, Thérèse A. Stukel, Joel G. Ray, Astrid Guttmann, Jack V. Tu, Laurie J. Morrison, Peter C. Austin, Brian H. Rowe and Susan E. Bronskill and has published in prestigious journals such as New England Journal of Medicine, The Lancet and Circulation.

In The Last Decade

Michael J. Schull

220 papers receiving 9.1k 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.

The Effect of Emergency Department Crowding on Clinically Oriented Outcomes

2008 874 citations Michael J. Schull et al. Academic Emergency Medicine profile →
Cardiovascular health after maternal placental syndromes (CHAMPS): population-based retrospective cohort study

2005 735 citations Marian J. Vermeulen, Michael J. Schull et al. profile →
Association between waiting times and short term mortality and hospital admission after departure from emergency department: population based cohort study from Ontario, Canada

2011 515 citations Astrid Guttmann, Michael J. Schull et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael J. Schull Canada	50	4.9k	2.3k	2.2k	1.5k	1.3k	222	9.4k
Gary E. Rosenthal United States	52	1.9k 0.4×	3.1k 1.4×	2.2k 1.0×	1.6k 1.1×	1.3k 1.0×	180	9.2k
Marian J. Vermeulen Canada	41	2.4k 0.5×	1.1k 0.5×	1.0k 0.5×	921 0.6×	676 0.5×	98	6.9k
Patrick S. Romano United States	59	2.2k 0.5×	2.7k 1.2×	2.4k 1.1×	3.1k 2.0×	2.1k 1.6×	270	14.0k
Anne Elixhauser United States	48	2.4k 0.5×	3.0k 1.3×	3.0k 1.4×	2.7k 1.8×	3.1k 2.4×	218	15.7k
Andrew W. Dick United States	57	1.5k 0.3×	2.5k 1.1×	1.6k 0.7×	1.3k 0.9×	1.5k 1.1×	309	9.0k
Astrid Guttmann Canada	47	2.0k 0.4×	2.4k 1.1×	1.6k 0.7×	797 0.5×	2.6k 1.9×	297	12.2k
Peter K. Lindenauer United States	53	2.3k 0.5×	2.7k 1.2×	1.8k 0.8×	2.7k 1.7×	2.5k 1.9×	309	11.1k
Alex Bottle United Kingdom	55	2.0k 0.4×	1.8k 0.8×	1.5k 0.7×	2.1k 1.3×	2.0k 1.5×	312	10.2k
Leora I. Horwitz United States	44	2.8k 0.6×	2.0k 0.9×	1.3k 0.6×	2.1k 1.3×	1.1k 0.9×	159	8.8k
Eddy Lang Canada	44	2.1k 0.4×	1.4k 0.6×	629 0.3×	1.3k 0.8×	1.2k 0.9×	335	8.1k

Countries citing papers authored by Michael J. Schull

Since Specialization

Citations

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

Fields of papers citing papers by Michael J. Schull

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. Schull. 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 Michael J. Schull. The network helps show where Michael J. Schull may publish in the future.

Co-authorship network of co-authors of Michael J. Schull

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Watson, Tristan, et al.. (2025). Sociodemographic and Health Behaviour of Frequent, Avoidable Emergency Department Users in Ontario, Canada: A Population-based Descriptive Study. Western Journal of Emergency Medicine. 26(6). 1622–1639.

Lee, Douglas S., Finlay A. McAlister, Shihao Ma, et al.. (2022). Factors associated with SARS-CoV-2 test positivity in long-term care homes: A population-based cohort analysis using machine learning. The Lancet Regional Health - Americas. 6. 100146–100146. 6 indexed citations

Chung, Hannah, Mahmoud Azimaee, Susan E. Bronskill, et al.. (2022). Pivoting data and analytic capacity to support Ontario’s COVID-19 response. International Journal for Population Data Science. 5(4). 1682–1682. 11 indexed citations

Lee, Douglas S., Shihao Ma, Anna Chu, et al.. (2021). Predictors of mortality among long‐term care residents with SARS‐CoV ‐2 infection. Journal of the American Geriatrics Society. 69(12). 3377–3388. 22 indexed citations

Lee, Douglas S., Sharon E. Straus, Peter C. Austin, et al.. (2021). Rationale and design of the comparison of outcomes and access to care for heart failure (COACH) trial: A stepped wedge cluster randomized trial. American Heart Journal. 240. 1–10. 6 indexed citations

Ritchie, Lisa M. Puchalski, Monique van Lettow, Sharon E. Straus, et al.. (2021). Process evaluation of an implementation strategy to support uptake of a tuberculosis treatment adherence intervention to improve TB care and outcomes in Malawi. BMJ Open. 11(7). e048499–e048499. 9 indexed citations

Lee, Douglas S., Jacques Lee, Michael J. Schull, et al.. (2019). Prospective Validation of the Emergency Heart Failure Mortality Risk Grade for Acute Heart Failure. Circulation. 139(9). 1146–1156. 71 indexed citations

Tanke, Marit A.C., Yevgeniy Feyman, Enrique Bernal‐Delgado, et al.. (2019). A challenge to all. A primer on inter-country differences of high-need, high-cost patients. PLoS ONE. 14(6). e0217353–e0217353. 22 indexed citations

Graves, Erin, et al.. (2018). Examination of High-Cost Patients in Ontario. International Journal for Population Data Science. 3(4). 3 indexed citations

10.

Lee, Douglas S., Jacques Lee, Michael J. Schull, et al.. (2016). Design and rationale for the Acute Congestive Heart Failure Urgent Care Evaluation: The ACUTE Study. American Heart Journal. 181. 60–65. 11 indexed citations

11.

Lee, Douglas S., Alan W. Stitt, Peter C. Austin, et al.. (2012). Prediction of Heart Failure Mortality in Emergent Care. Annals of Internal Medicine. 3 indexed citations

12.

Atzema, Clare, Michael J. Schull, Paul Kurdyak, et al.. (2012). Wait times in the emergency department for patients with mental illness. Canadian Medical Association Journal. 184(18). E969–E976. 20 indexed citations

13.

Lee, Douglas S., Thérèse A. Stukel, Peter C. Austin, et al.. (2010). Improved Outcomes With Early Collaborative Care of Ambulatory Heart Failure Patients Discharged From the Emergency Department. Circulation. 122(18). 1806–1814. 136 indexed citations

14.

Stukel, Thérèse A., David A. Alter, Michael J. Schull, Dennis T. Ko, & Ping Li. (2010). Association Between Hospital Cardiac Management and Outcomes for Acute Myocardial Infarction Patients. Medical Care. 48(2). 157–165. 23 indexed citations

15.

Unger, Bernard, Marc Afilalo, Michael J. Bullard, et al.. (2010). Development of the Canadian Emergency Department Diagnosis Shortlist. Canadian Journal of Emergency Medicine. 12(4). 311–319. 9 indexed citations

16.

Kiss, Alex, et al.. (2010). La extracción de un hemograma antes de la valoración médica retrasa la administración de antibióticos en los pacientes con fiebre neutropénica en urgencias. Emergencias: Revista de la Sociedad Española de Medicina de Urgencias y Emergencias. 22(6). 429–434. 1 indexed citations

17.

Guttmann, Astrid, Brandon Zagorski, Peter C. Austin, et al.. (2007). Effectiveness of Emergency Department Asthma Management Strategies on Return Visits in Children: A Population-Based Study. PEDIATRICS. 120(6). e1402–e1410. 55 indexed citations

18.

Macpherson, Alison, Geta Cernat, & Michael J. Schull. (2006). Injuries in Ontario.. PubMed. 9(1). 29–30. 22 indexed citations

19.

Schull, Michael J., Muhammad Mamdani, & Jiming Fang. (2005). Influenza and Emergency Department Utilization by Elders. Academic Emergency Medicine. 12(4). 338–344. 24 indexed citations

20.

Schull, Michael J., Laurie J. Morrison, Marian J. Vermeulen, & Donald A. Redelmeier. (2003). Emergency department overcrowding and ambulance transport delays for patients with chest pain.. PubMed. 168(3). 277–83. 141 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.

Explore authors with similar magnitude of impact