Andrew Olson

2.8k total citations · 2 hit papers
120 papers, 1.5k citations indexed

About

Andrew Olson is a scholar working on Public Health, Environmental and Occupational Health, Family Practice and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Andrew Olson has authored 120 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Public Health, Environmental and Occupational Health, 51 papers in Family Practice and 24 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Andrew Olson's work include Innovations in Medical Education (52 papers), Clinical Reasoning and Diagnostic Skills (51 papers) and Radiology practices and education (24 papers). Andrew Olson is often cited by papers focused on Innovations in Medical Education (52 papers), Clinical Reasoning and Diagnostic Skills (51 papers) and Radiology practices and education (24 papers). Andrew Olson collaborates with scholars based in United States, Netherlands and Canada. Andrew Olson's co-authors include Daniel Schnobrich, Timothy J Wilt, Indulis Rutks, Roderick MacDonald, Nelsón Durán, Mark L. Graber, Gregory Filice, Dimitri Drekonja, Nancy Greer and Benji K. Mathews and has published in prestigious journals such as New England Journal of Medicine, Nature Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

Andrew Olson

105 papers receiving 1.5k citations

Hit Papers

Large Language Model Influence on Diagnostic Reasoning 2024 2026 2025 2024 2025 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Olson United States 19 436 431 322 253 220 120 1.5k
Mathieu Nendaz Switzerland 30 681 1.6× 1.2k 2.7× 248 0.8× 633 2.5× 192 0.9× 166 2.8k
Wolf E. Hautz Switzerland 22 286 0.7× 355 0.8× 142 0.4× 266 1.1× 62 0.3× 99 1.7k
Adam S. Evans United States 15 198 0.5× 422 1.0× 130 0.4× 244 1.0× 71 0.3× 45 1.4k
Mathew Mercuri Canada 19 87 0.2× 231 0.5× 220 0.7× 325 1.3× 49 0.2× 86 1.1k
Damian Roland United Kingdom 19 126 0.3× 185 0.4× 33 0.1× 418 1.7× 80 0.4× 229 1.6k
Angela Keniston United States 21 36 0.1× 374 0.9× 40 0.1× 439 1.7× 70 0.3× 104 1.6k
Cyril Ferdynus France 22 52 0.1× 164 0.4× 48 0.1× 136 0.5× 51 0.2× 92 1.6k
Chad Kessler United States 19 148 0.3× 400 0.9× 154 0.5× 319 1.3× 97 0.4× 76 1.3k
Brian R. Holroyd Canada 31 85 0.2× 375 0.9× 155 0.5× 650 2.6× 75 0.3× 99 3.1k
Gerald Lebovic Canada 25 25 0.1× 437 1.0× 77 0.2× 248 1.0× 88 0.4× 104 1.8k

Countries citing papers authored by Andrew Olson

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Olson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Olson

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Olson. A scholar is included among the top collaborators of Andrew Olson 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 Andrew Olson. Andrew Olson 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.
Kwan, Janice L., Christina L. Cifra, Ava L. Liberman, et al.. (2025). The Society to Improve Diagnosis in Medicine’s legacy: building a foundation for diagnostic excellence. Diagnosis. 12(4). 510–519.
2.
Olson, Andrew, et al.. (2024). Cognitive load in hospital medicine: Implications for teachers, learners, and programs. Journal of Hospital Medicine. 20(6). 633–636.
3.
Suresh, Mithun, P.R. Davis, Gregory J. Beilman, et al.. (2024). Implementation of a same‐day, round‐trip interventional endoscopy service for rural and critical access hospital patients. Journal of Hospital Medicine. 19(10). 971–976.
4.
Holmboe, Eric S., et al.. (2024). Consensus-Derived Recommended Skills for Transition to Residency Courses. Academic Medicine. 99(7). 764–770.
5.
Wong, Jennifer S., et al.. (2024). Moving Toward Interprofessional Teaching in the Intensive Care Unit: A Mixed Methods Study. ATS Scholar. 5(4). 559–574. 1 indexed citations
6.
Olson, Andrew, et al.. (2023). Development and psychometric testing of the Diagnostic Competency During Simulation-based (DCDS) learning tool. Journal of Professional Nursing. 45. 51–59. 2 indexed citations
7.
Zhao, Connie, et al.. (2022). Dyspneic and dizzy. Journal of Hospital Medicine. 17(8). 657–660.
8.
Rosner, B., Laura Zwaan, & Andrew Olson. (2022). Imagining the future of diagnostic performance feedback. Diagnosis. 10(1). 31–37. 5 indexed citations
9.
Olson, Andrew, Christopher J. Tignanelli, Genevieve B. Melton, et al.. (2021). Evaluation of an Intrahospital Telemedicine Program for Patients Admitted With COVID-19: Mixed Methods Study. Journal of Medical Internet Research. 23(4). e25987–e25987. 6 indexed citations
10.
Chan, Teresa M., Mark L. Graber, Zach Landis‐Lewis, et al.. (2021). Improving diagnostic performance through feedback: the Diagnosis Learning Cycle. BMJ Quality & Safety. 30(12). 1002–1009. 25 indexed citations
11.
Graber, Mark L., Eric S. Holmboe, Joan Stanley, et al.. (2021). A call to action: next steps to advance diagnosis education in the health professions. Diagnosis. 9(2). 166–175. 6 indexed citations
12.
Mukaigawara, Mitsuru, et al.. (2020). A Curve Ball. New England Journal of Medicine. 383(10). 970–975.
13.
Olson, Andrew, et al.. (2020). Teamwork in clinical reasoning – cooperative or parallel play?. Diagnosis. 7(3). 307–312. 20 indexed citations
14.
Borman-Shoap, Emily, et al.. (2018). Case-based simulation empowering pediatric residents to communicate about diagnostic uncertainty. Diagnosis. 5(4). 243–248. 15 indexed citations
15.
Trowbridge, Robert L., et al.. (2018). Teaching about diagnostic errors through virtual patient cases: a pilot exploration. Diagnosis. 5(4). 223–227. 4 indexed citations
16.
Trowbridge, Robert L. & Andrew Olson. (2018). Becoming a teacher of clinical reasoning. Diagnosis. 5(1). 11–14. 5 indexed citations
17.
Graber, Mark L., Joseph Rencic, Frank J. Papa, et al.. (2018). Improving diagnosis by improving education: a policy brief on education in healthcare professions. Diagnosis. 5(3). 107–118. 54 indexed citations
18.
Graber, Mark L., et al.. (2018). Learning from tragedy: the Julia Berg story. Diagnosis. 5(4). 257–266. 6 indexed citations
19.
Thammasitboon, Satid, et al.. (2018). The Assessment of Reasoning Tool (ART): structuring the conversation between teachers and learners. Diagnosis. 5(4). 197–203. 27 indexed citations
20.
Murphy, Caleb J., et al.. (2016). Those eyes don’t lie: a case of osmotic demyelination syndrome in a patient with hepatic encephalopathy. Diagnosis. 3(2). 81–85. 1 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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