Amy M. Shui

4.9k total citations · 1 hit paper
140 papers, 3.0k citations indexed

About

Amy M. Shui is a scholar working on Clinical Psychology, Surgery and Cognitive Neuroscience. According to data from OpenAlex, Amy M. Shui has authored 140 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Clinical Psychology, 30 papers in Surgery and 28 papers in Cognitive Neuroscience. Recurrent topics in Amy M. Shui's work include Family and Disability Support Research (27 papers), Autism Spectrum Disorder Research (27 papers) and Liver Disease and Transplantation (25 papers). Amy M. Shui is often cited by papers focused on Family and Disability Support Research (27 papers), Autism Spectrum Disorder Research (27 papers) and Liver Disease and Transplantation (25 papers). Amy M. Shui collaborates with scholars based in United States, Canada and Australia. Amy M. Shui's co-authors include David A. Morrow, Eugene Braunwald, Marc S. Sabatine, Beth A. Malow, David Schoenfeld, Merit Cudkowicz, Karen Kuhlthau, Nader Rifai, Terry Katz and Christopher P. Cannon and has published in prestigious journals such as Circulation, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Amy M. Shui

128 papers receiving 3.0k citations

Hit Papers

AFP-L3 and DCP strongly predict early hepatocellular carc... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amy M. Shui United States 29 903 683 674 588 363 140 3.0k
István Mucsi Canada 47 480 0.5× 571 0.8× 315 0.5× 1.1k 2.0× 314 0.9× 207 6.4k
Tamara Arenovich Canada 37 572 0.6× 1.6k 2.3× 568 0.8× 479 0.8× 85 0.2× 64 3.9k
Michelle J. Naughton United States 37 196 0.2× 277 0.4× 244 0.4× 705 1.2× 107 0.3× 132 4.6k
Johannes W. G. Jacobs Netherlands 37 101 0.1× 599 0.9× 293 0.4× 354 0.6× 155 0.4× 143 5.4k
Jennifer R. Geske United States 33 230 0.3× 793 1.2× 940 1.4× 667 1.1× 99 0.3× 163 3.8k
Michelle C. Janelsins United States 44 330 0.4× 815 1.2× 244 0.4× 437 0.7× 127 0.3× 180 7.9k
Corrie Macdonald‐Wallis United Kingdom 31 121 0.1× 183 0.3× 354 0.5× 231 0.4× 399 1.1× 54 4.8k
Ismaël Mena United States 27 679 0.8× 977 1.4× 129 0.2× 270 0.5× 465 1.3× 113 3.3k
Élisabeth Jouve France 27 191 0.2× 149 0.2× 184 0.3× 460 0.8× 206 0.6× 111 2.5k
Daisy Elliott United Kingdom 28 572 0.6× 204 0.3× 405 0.6× 457 0.8× 136 0.4× 99 2.7k

Countries citing papers authored by Amy M. Shui

Since Specialization
Citations

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

Fields of papers citing papers by Amy M. Shui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amy M. Shui

This figure shows the co-authorship network connecting the top 25 collaborators of Amy M. Shui. A scholar is included among the top collaborators of Amy M. Shui 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 M. Shui. Amy M. Shui 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
2.
Shui, Amy M., et al.. (2024). The Effect of Intersectionality on Attrition Among US General Surgery Trainees. Annals of Surgery. 282(6). 971–975. 4 indexed citations
3.
Yap, Ava, Lan Vu, Jacqueline M. Saito, et al.. (2024). Comparative Analysis of Indices for Social Determinants of Health in Pediatric Surgical Populations. JAMA Network Open. 7(12). e2449672–e2449672. 3 indexed citations
4.
Wang, Melinda, Amy M. Shui, Chiung‐Yu Huang, et al.. (2024). The Liver Frailty Index enhances mortality risk prediction above and beyond MELD 3.0 alone. Liver Transplantation. 30(12). 1326–1329. 3 indexed citations
5.
Cullaro, Giuseppe, Sy Han Chiou, Ge Jin, et al.. (2024). Outpatient mean arterial pressure: A potentially modifiable risk for acute kidney injury and death among patients with cirrhosis. Liver Transplantation. 30(7). 679–688. 2 indexed citations
6.
Shui, Amy M., et al.. (2024). Admission and Patients Undergoing Surgery at Risk of Patient-Directed Discharges. JAMA Surgery. 159(11). 1322–1322.
7.
Lindly, Olivia J., et al.. (2024). Adaptation of a health literacy screener for computerized, self-administered use by U.S. adults. SHILAP Revista de lepidopterología. 4. 100262–100262. 1 indexed citations
8.
Ruck, Jessica M., Amy M. Shui, Robert S. Rahimi, et al.. (2023). Association of body mass index with post‐liver transplant outcomes. Clinical Transplantation. 38(1). e15205–e15205. 4 indexed citations
9.
Rothschild, Harriet, Mary Kathryn Abel, A. Jo Chien, et al.. (2023). The impact of histologic subtype on primary site surgery in the management of metastatic lobular versus ductal breast cancer: a population based study from the National Cancer Database (NCDB). Breast Cancer Research and Treatment. 203(2). 245–256. 2 indexed citations
10.
Wang, Melinda, Amy M. Shui, Elizabeth C. Verna, et al.. (2023). The tele-liver frailty index (TeLeFI): development of a novel frailty tool in patients with cirrhosis via telemedicine. American Journal of Transplantation. 23(7). 966–975. 10 indexed citations
11.
12.
Li, P. Jonathan, et al.. (2023). AFP-L3 and DCP strongly predict early hepatocellular carcinoma recurrence after liver transplantation. Journal of Hepatology. 79(6). 1469–1477. 75 indexed citations breakdown →
13.
Wang, Melinda, Amy M. Shui, Jessica M. Ruck, et al.. (2023). The liver frailty index is a predictor of healthcare utilization after liver transplantation in older adults. Clinical Transplantation. 38(1). e15219–e15219. 5 indexed citations
14.
Ha, Nghiem B., Aldo J. Montaño‐Loza, Elizabeth J. Carey, et al.. (2022). Sarcopenic visceral obesity is associated with increased post-liver transplant mortality in acutely ill patients with cirrhosis. American Journal of Transplantation. 22(9). 2195–2202. 28 indexed citations
15.
Shui, Amy M., Terry Katz, Beth A. Malow, & Micah O. Mazurek. (2018). Predicting sleep problems in children with autism spectrum disorders. Research in Developmental Disabilities. 83. 270–279. 23 indexed citations
16.
Yu, Maria, et al.. (2017). Characteristics Associated with the Choice of First Injectable Therapy Among US Patients With Type 2 Diabetes. Clinical Therapeutics. 39(12). 2399–2408. 15 indexed citations
17.
Nicholson, Katharine, Sabrina Paganoni, Amy M. Shui, et al.. (2015). Urate Levels Predict Disease Progression and Survival in Amyotrophic Lateral Sclerosis (ALS). (P6.100). Neurology. 84(14_supplement).
18.
Gibson, C. Michael, Yuri B. Pride, Jacqueline L. Buros, et al.. (2008). Association of Impaired Thrombolysis In Myocardial Infarction Myocardial Perfusion Grade With Ventricular Tachycardia and Ventricular Fibrillation Following Fibrinolytic Therapy for ST-Segment Elevation Myocardial Infarction. Journal of the American College of Cardiology. 51(5). 546–551. 25 indexed citations
20.
Scirica, Benjamin M., David A. Morrow, Christopher P. Cannon, et al.. (2006). Intensive Statin Therapy and the Risk of Hospitalization for Heart Failure After an Acute Coronary Syndrome in the PROVE IT–TIMI 22 Study. Journal of the American College of Cardiology. 47(11). 2326–2331. 117 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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