Amy T. Hsu

2.1k total citations
101 papers, 1.2k citations indexed

About

Amy T. Hsu is a scholar working on Public Health, Environmental and Occupational Health, General Health Professions and Geriatrics and Gerontology. According to data from OpenAlex, Amy T. Hsu has authored 101 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Public Health, Environmental and Occupational Health, 53 papers in General Health Professions and 27 papers in Geriatrics and Gerontology. Recurrent topics in Amy T. Hsu's work include Palliative Care and End-of-Life Issues (55 papers), Geriatric Care and Nursing Homes (47 papers) and Frailty in Older Adults (27 papers). Amy T. Hsu is often cited by papers focused on Palliative Care and End-of-Life Issues (55 papers), Geriatric Care and Nursing Homes (47 papers) and Frailty in Older Adults (27 papers). Amy T. Hsu collaborates with scholars based in Canada, United States and United Kingdom. Amy T. Hsu's co-authors include Peter Tanuseputro, Glenys Smith, Robert Talarico, Mathieu Chalifoux, Douglas G. Manuel, Hsien Seow, Daniel T. Myran, Walter P. Wodchis, Sarina R. Isenberg and Mary Scott and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Amy T. Hsu

88 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amy T. Hsu Canada 20 529 505 211 142 138 101 1.2k
Ursula K. Braun United States 18 473 0.9× 373 0.7× 117 0.6× 254 1.8× 85 0.6× 54 1.4k
Thane Chambers Canada 17 235 0.4× 271 0.5× 175 0.8× 147 1.0× 109 0.8× 42 1.0k
Keith Goldfeld United States 20 486 0.9× 411 0.8× 89 0.4× 122 0.9× 221 1.6× 70 1.2k
Isabel Torres‐Vigil United States 18 710 1.3× 315 0.6× 90 0.4× 223 1.6× 89 0.6× 27 1.4k
Catherine Eng United States 19 478 0.9× 801 1.6× 380 1.8× 183 1.3× 201 1.5× 30 1.5k
Björg Thorsteinsdottir United States 20 339 0.6× 498 1.0× 80 0.4× 79 0.6× 67 0.5× 62 1.3k
Manuel Castillo‐Angeles United States 19 446 0.8× 454 0.9× 141 0.7× 51 0.4× 97 0.7× 89 1.6k
Khaled Abdel-Kader United States 26 333 0.6× 367 0.7× 91 0.4× 82 0.6× 264 1.9× 62 2.0k
Laura C. Maclagan Canada 20 238 0.4× 244 0.5× 145 0.7× 90 0.6× 118 0.9× 56 1.1k
Elizabeth Kvale United States 22 1.0k 2.0× 389 0.8× 117 0.6× 252 1.8× 157 1.1× 91 2.0k

Countries citing papers authored by Amy T. Hsu

Since Specialization
Citations

This map shows the geographic impact of Amy T. Hsu'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 Amy T. Hsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amy T. Hsu more than expected).

Fields of papers citing papers by Amy T. Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amy T. Hsu. 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 Amy T. Hsu. The network helps show where Amy T. Hsu may publish in the future.

Co-authorship network of co-authors of Amy T. Hsu

This figure shows the co-authorship network connecting the top 25 collaborators of Amy T. Hsu. A scholar is included among the top collaborators of Amy T. Hsu 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 Amy T. Hsu. Amy T. Hsu 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.
Wickramasinghe, Lakshanie C., Caitlin A. O’Brien, Amy T. Hsu, et al.. (2025). VEGF-D Protects the Lung in Neonatal Hyperoxia-induced Lung Injury. American Journal of Respiratory Cell and Molecular Biology. 73(5). 790–804.
2.
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Manuel, Douglas G., Peter Tanuseputro, Carol Bennett, et al.. (2024). Estimated mortality risk and use of palliative care services among home care clients during the last 6 months of life: a retrospective cohort study. Canadian Medical Association Journal. 196(7). E209–E221. 2 indexed citations
4.
Bourbonnais, Anne, et al.. (2023). At the Epicentre of the COVID-19 Pandemic in Canada: Experiences and Recommendations of Family Care Partners of an Older Person Living in a Long-Term Care Home. Canadian Journal on Aging / La Revue canadienne du vieillissement. 43(2). 244–256. 2 indexed citations
5.
Wilson, Kumanan, et al.. (2023). Digital Immunization Tracking in Long-Term Care and Assisted Living Facilities. Canadian Journal on Aging / La Revue canadienne du vieillissement. 42(3). 516–519.
6.
Scott, Mary, Justin Presseau, Becky Skidmore, et al.. (2023). Exploring COVID‐19 education to support vaccine confidence amongst the general adult population with special considerations for healthcare and long‐term care staff: A scoping review. Campbell Systematic Reviews. 19(3). e1352–e1352. 6 indexed citations
7.
Webber, Colleen, Sarina R. Isenberg, Mary Scott, et al.. (2022). Inpatient Palliative Care Is Associated with the Receipt of Palliative Care in the Community after Hospital Discharge: A Retrospective Cohort Study. Journal of Palliative Medicine. 25(6). 897–906. 2 indexed citations
8.
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Knoefel, Frank, Mirou Jaana, Catherine Wilson, et al.. (2022). Implementation of smart supportive dementia technology in a hospital transitional care setting using human-centred design. Healthcare Management Forum. 35(5). 318–323. 2 indexed citations
10.
Rajendran, Luckshi, Alyson Mahar, Amy T. Hsu, et al.. (2022). Patient-centered outcomes for gastrointestinal cancer care: a scoping review protocol. BMJ Open. 12(6). e061309–e061309. 1 indexed citations
11.
12.
Webber, Colleen, Hsien Seow, Michelle Howard, et al.. (2021). Impact of physician-based palliative care delivery models on health care utilization outcomes: A population-based retrospective cohort study. Palliative Medicine. 35(6). 1170–1180. 8 indexed citations
13.
14.
Webber, Colleen, Amy T. Hsu, Peter Tanuseputro, Edward Fitzgibbon, & Cecilia Li. (2019). Acute Care Utilization and Place of Death among Patients Discharged from an Inpatient Palliative Care Unit. Journal of Palliative Medicine. 23(1). 54–59. 4 indexed citations
15.
Mathew, Christine, Amy T. Hsu, Peter G. Lawlor, et al.. (2019). Economic evaluations of palliative care models: A systematic review. Palliative Medicine. 34(1). 69–82. 33 indexed citations
16.
Kendzerska, Tetyana, Jason Nickerson, Amy T. Hsu, et al.. (2019). <p>End-of-life care in individuals with respiratory diseases: a population study comparing the dying experience between those with chronic obstructive pulmonary disease and lung cancer</p>. International Journal of COPD. Volume 14. 1691–1701. 19 indexed citations
17.
Hsu, Amy T., Claire Kendall, Denise Marshall, et al.. (2018). How are physicians delivering palliative care? A population-based retrospective cohort study describing the mix of generalist and specialist palliative care models in the last year of life. Palliative Medicine. 32(8). 1334–1343. 64 indexed citations
18.
Hsu, Amy T., Douglas G. Manuel, Monica Taljaard, et al.. (2016). Algorithm for predicting death among older adults in the home care setting: study protocol for the Risk Evaluation for Support: Predictions for Elder-life in the Community Tool (RESPECT). BMJ Open. 6(12). e013666–e013666. 17 indexed citations
19.
Hussein, Ayman A., Murat Tuzcu, Amy T. Hsu, et al.. (2010). Abstract 13442: Aging, Risk Factors and Progression of Coronary Atherosclerosis. Circulation. 122. 1 indexed citations
20.
Bouras, Constantin, Pantéleimon Giannakopoulos, Paul F. Good, et al.. (1997). A Laser Microprobe Mass Analysis of Brain Aluminum and Iron in Dementia pugilistica: Comparison with Alzheimer's Disease. European Neurology. 38(1). 53–58. 88 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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