Vincent X. Liu

2.6k total citations · 2 hit papers
79 papers, 1.3k citations indexed

About

Vincent X. Liu is a scholar working on Epidemiology, Emergency Medicine and Surgery. According to data from OpenAlex, Vincent X. Liu has authored 79 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Epidemiology, 19 papers in Emergency Medicine and 11 papers in Surgery. Recurrent topics in Vincent X. Liu's work include Sepsis Diagnosis and Treatment (29 papers), Emergency and Acute Care Studies (16 papers) and Healthcare Policy and Management (8 papers). Vincent X. Liu is often cited by papers focused on Sepsis Diagnosis and Treatment (29 papers), Emergency and Acute Care Studies (16 papers) and Healthcare Policy and Management (8 papers). Vincent X. Liu collaborates with scholars based in United States, Canada and United Kingdom. Vincent X. Liu's co-authors include Gabriel J. Escobar, Patricia Kipnis, Yun Lu, Nigam H. Shah, Alejandro Schuler, Aaron A. Tierney, Laura C. Myers, Theodore J. Iwashyna, Scott D. Halpern and George L. Anesi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of Internal Medicine and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

Vincent X. Liu

73 papers receiving 1.3k citations

Hit Papers

Ambient Artificial Intelligence Scribes to Alleviate the ... 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
Vincent X. Liu United States 20 401 219 176 176 166 79 1.3k
Thomas S. Valley United States 20 284 0.7× 150 0.7× 196 1.1× 215 1.2× 216 1.3× 73 1.3k
Amol A. Verma Canada 18 217 0.5× 117 0.5× 105 0.6× 228 1.3× 116 0.7× 98 1.1k
Allen Hsiao United States 20 225 0.6× 63 0.3× 182 1.0× 277 1.6× 215 1.3× 52 1.4k
Nazir Lone United Kingdom 24 474 1.2× 259 1.2× 563 3.2× 216 1.2× 280 1.7× 104 2.0k
Hojjat Salmasian United States 20 303 0.8× 265 1.2× 110 0.6× 153 0.9× 44 0.3× 66 1.4k
Kyle A. Carey United States 18 555 1.4× 43 0.2× 154 0.9× 94 0.5× 238 1.4× 63 1.2k
Janice L. Kwan Canada 17 211 0.5× 63 0.3× 66 0.4× 419 2.4× 156 0.9× 39 1.6k
Kwadwo Kyeremanteng Canada 27 527 1.3× 141 0.6× 403 2.3× 190 1.1× 531 3.2× 100 2.2k
Amartya Mukhopadhyay Singapore 23 466 1.2× 128 0.6× 406 2.3× 93 0.5× 160 1.0× 95 1.8k
Candace D. McNaughton United States 28 393 1.0× 117 0.5× 218 1.2× 624 3.5× 312 1.9× 103 2.4k

Countries citing papers authored by Vincent X. Liu

Since Specialization
Citations

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

Fields of papers citing papers by Vincent X. Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vincent X. Liu. 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 Vincent X. Liu. The network helps show where Vincent X. Liu may publish in the future.

Co-authorship network of co-authors of Vincent X. Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Vincent X. Liu. A scholar is included among the top collaborators of Vincent X. Liu 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 Vincent X. Liu. Vincent X. Liu 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.
Liu, Vincent X., et al.. (2025). AI Scribes Are Not Productivity Tools (Yet). NEJM AI. 2(12). 1 indexed citations
3.
Moralez, G. M., et al.. (2025). Data-Driven Quality of Care in the ICU: A Concise Review. Critical Care Medicine. 53(12). e2720–e2728. 1 indexed citations
4.
Guarnieri, Michael, Patricia Kipnis, Gregory P. Marelich, et al.. (2025). Analysis of Mortality and Length of Stay Associated With Implementation of a Large Telecritical Care Program in an Integrated Healthcare System. Critical Care Medicine. 53(12). e2642–e2651.
6.
Anesi, George L., M. Kit Delgado, Gabriel J. Escobar, et al.. (2025). An Explanatory Mixed-Methods Study of Intensive Care Unit Net Benefit: Triage and Trajectory for Sepsis and Acute Respiratory Failure. Annals of the American Thoracic Society. 22(4). 570–580. 1 indexed citations
7.
Gershengorn, Hayley B., Allan Garland, Amy Dzierba, et al.. (2024). ICU Staffing in the United States. CHEST Journal. 166(4). 743–753. 6 indexed citations
8.
Tierney, Aaron A., et al.. (2024). Ambient Artificial Intelligence Scribes to Alleviate the Burden of Clinical Documentation. NEJM Catalyst. 5(3). 159 indexed citations breakdown →
9.
Kohn, Rachel, Gary E. Weissman, Wei Wang, et al.. (2023). Prediction of In-hospital Mortality Among Intensive Care Unit Patients Using Modified Daily Laboratory-based Acute Physiology Score, Version 2. Medical Care. 61(8). 562–569. 5 indexed citations
11.
Papini, Santiago, Honor Hsin, Patricia Kipnis, et al.. (2023). Performance of a Prediction Model of Suicide Attempts Across Race and Ethnicity. JAMA Psychiatry. 80(4). 399–399. 4 indexed citations
12.
Rose, Christian, Robert Thombley, Yun Lu, et al.. (2022). Team is brain: leveraging EHR audit log data for new insights into acute care processes. Journal of the American Medical Informatics Association. 30(1). 8–15. 9 indexed citations
13.
Liu, Vincent X., Khanh K. Thai, Laura C. Myers, et al.. (2021). Development of a healthcare system COVID Hotspotting Score in California: an observational study with prospective validation. BMJ Open. 11(7). e048211–e048211.
14.
Garcia, Michael A., Khanh K. Thai, Yun Lu, et al.. (2021). Association between Troponin I Levels during Sepsis and Postsepsis Cardiovascular Complications. American Journal of Respiratory and Critical Care Medicine. 204(5). 557–565. 27 indexed citations
15.
Ashana, Deepshikha Charan, George L. Anesi, Vincent X. Liu, et al.. (2021). Equitably Allocating Resources during Crises: Racial Differences in Mortality Prediction Models. American Journal of Respiratory and Critical Care Medicine. 204(2). 178–186. 54 indexed citations
16.
Escobar, Gabriel J., Alyce S. Adams, Vincent X. Liu, et al.. (2021). Racial Disparities in COVID-19 Testing and Outcomes. Annals of Internal Medicine. 174(6). 786–793. 121 indexed citations
17.
Wang, Xiao Qing, et al.. (2021). Measurement of Sepsis in a National Cohort Using Three Different Methods to Define Baseline Organ Function. Annals of the American Thoracic Society. 18(4). 648–655. 10 indexed citations
18.
Anesi, George L., Dylan S. Small, M. Kit Delgado, et al.. (2020). Association of a Novel Index of Hospital Capacity Strain with Admission to Intensive Care Units. Annals of the American Thoracic Society. 17(11). 1440–1447. 21 indexed citations
19.
Liu, Vincent X., et al.. (2018). Healthcare Utilization and Infection in the Week Prior to Sepsis Hospitalization*. Critical Care Medicine. 46(4). 513–516. 17 indexed citations
20.
Liu, Vincent X., et al.. (2018). Association Between Inhaled Corticosteroid Use and Pulmonary Nontuberculous Mycobacterial Infection. Annals of the American Thoracic Society. 15(10). 1169–1176. 50 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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