Peter Hu

1.1k total citations
52 papers, 698 citations indexed

About

Peter Hu is a scholar working on Emergency Medicine, Critical Care and Intensive Care Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Peter Hu has authored 52 papers receiving a total of 698 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Emergency Medicine, 12 papers in Critical Care and Intensive Care Medicine and 10 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Peter Hu's work include Trauma and Emergency Care Studies (21 papers), Cardiac Arrest and Resuscitation (13 papers) and Trauma, Hemostasis, Coagulopathy, Resuscitation (12 papers). Peter Hu is often cited by papers focused on Trauma and Emergency Care Studies (21 papers), Cardiac Arrest and Resuscitation (13 papers) and Trauma, Hemostasis, Coagulopathy, Resuscitation (12 papers). Peter Hu collaborates with scholars based in United States, Netherlands and Germany. Peter Hu's co-authors include Yan Xiao, Colin F. Mackenzie, Thomas M. Scalea, Marian P. LaMonte, Richard P. Dutton, Colin R. MacKenzie, Shiming Yang, Wade Gaasch, Mona N. Bahouth and Joseph A. Kufera and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and Scientific Reports.

In The Last Decade

Peter Hu

47 papers receiving 672 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Hu United States 16 263 160 152 106 93 52 698
Samad Shams Vahdati Iran 14 238 0.9× 144 0.9× 175 1.2× 59 0.6× 64 0.7× 136 737
Jörg Christian Brokmann Germany 19 346 1.3× 169 1.1× 110 0.7× 58 0.5× 34 0.4× 54 953
Ken Farion Canada 22 375 1.4× 452 2.8× 271 1.8× 73 0.7× 24 0.3× 55 1.4k
Max Skorning Germany 16 454 1.7× 105 0.7× 129 0.8× 26 0.2× 32 0.3× 33 753
Herbert J. Rogove United States 8 230 0.9× 82 0.5× 76 0.5× 74 0.7× 17 0.2× 12 564
Sebastian Bergrath Germany 19 502 1.9× 172 1.1× 124 0.8× 26 0.2× 36 0.4× 49 960
Alan S. Tonnesen United States 15 137 0.5× 163 1.0× 205 1.3× 129 1.2× 24 0.3× 36 763
Arif Alper Çevik Türkiye 15 244 0.9× 76 0.5× 207 1.4× 79 0.7× 9 0.1× 78 701
Mazen El Sayed Lebanon 19 609 2.3× 123 0.8× 172 1.1× 87 0.8× 24 0.3× 94 1.0k
Dries Myny Belgium 13 95 0.4× 83 0.5× 66 0.4× 128 1.2× 65 0.7× 20 582

Countries citing papers authored by Peter Hu

Since Specialization
Citations

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

Fields of papers citing papers by Peter Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Hu. A scholar is included among the top collaborators of Peter Hu 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 Peter Hu. Peter Hu 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.
Shafir, Roni, et al.. (2025). Factors influencing the hypoalgesic effects of virtual reality. Pain. 166(8). 1836–1846.
2.
Yang, Shiming, Peter Hu, Konstantinos Kalpakis, et al.. (2024). Utilizing ultra-early continuous physiologic data to develop automated measures of clinical severity in a traumatic brain injury population. Scientific Reports. 14(1). 7618–7618. 2 indexed citations
3.
Yang, Shiming, Colin F. Mackenzie, Peter Rock, et al.. (2021). Comparison of massive and emergency transfusion prediction scoring systems after trauma with a new Bleeding Risk Index score applied in-flight. The Journal of Trauma: Injury, Infection, and Critical Care. 90(2). 268–273. 14 indexed citations
4.
Galvagno, Samuel M., Robert Sikorski, Douglas J. Floccare, et al.. (2020). Prehospital Point of Care Testing for the Early Detection of Shock and Prediction of Lifesaving Interventions. Shock. 54(6). 710–716. 24 indexed citations
5.
Fife, Daniel, John Waller, Sigal Kaplan, et al.. (2019). Awareness of, and Compliance with, Domperidone Revised Labeling After a Risk-Minimization Activity in Europe. Clinical Drug Investigation. 39(11). 1057–1066. 4 indexed citations
6.
7.
Yang, Shiming, Peter Hu, Lynn G. Stansbury, et al.. (2016). Acoustic sensor versus electrocardiographically derived respiratory rate in unstable trauma patients. Journal of Clinical Monitoring and Computing. 31(4). 765–772. 7 indexed citations
8.
Yang, Shiming, Peter Hu, Cheng Gao, et al.. (2015). Trends of Hemoglobin Oximetry. Anesthesia & Analgesia. 122(1). 115–125. 10 indexed citations
9.
Mackenzie, Colin F., Cheng Gao, Peter Hu, et al.. (2014). Comparison of Decision-Assist and Clinical Judgment of Experts for Prediction of Lifesaving Interventions. Shock. 43(3). 238–243. 15 indexed citations
10.
Mackenzie, Colin F., Yulei Wang, Peter Hu, et al.. (2014). Automated prediction of early blood transfusion and mortality in trauma patients. The Journal of Trauma: Injury, Infection, and Critical Care. 76(6). 1379–1385. 47 indexed citations
11.
Diamantidis, Clarissa J., et al.. (2013). Directed Use of the Internet for Health Information by Patients With Chronic Kidney Disease: Prospective Cohort Study. Journal of Medical Internet Research. 15(11). e251–e251. 28 indexed citations
12.
Hu, Peter, Samuel M. Galvagno, Ayan Sen, et al.. (2013). Identification of Dynamic Prehospital Changes With Continuous Vital Signs Acquisition. Air Medical Journal. 33(1). 27–33. 19 indexed citations
13.
Stein, Deborah M., Megan Brenner, Peter Hu, et al.. (2013). Timing of Intracranial Hypertension Following Severe Traumatic Brain Injury. Neurocritical Care. 18(3). 332–340. 21 indexed citations
14.
MacKenzie, Colin R., et al.. (2012). 755. Critical Care Medicine. 40. 1–328. 2 indexed citations
15.
Mackenzie, Colin F., Joseph J. DuBose, Peter Hu, et al.. (2012). Continuously recorded oxygen saturation and heart rate during prehospital transport outperform initial measurement in prediction of mortality after trauma. The Journal of Trauma: Injury, Infection, and Critical Care. 72(4). 1006–1012. 28 indexed citations
16.
Xiao, Yan, Peter Hu, Richard P. Dutton, et al.. (2009). Daily Multidisciplinary Discharge Rounds in a Trauma Center: A Little Time, Well Spent. The Journal of Trauma: Injury, Infection, and Critical Care. 66(3). 880–887. 29 indexed citations
17.
Kim, Young Ju, Yan Xiao, Peter Hu, & Richard P. Dutton. (2008). Staff acceptance of video monitoring for coordination: a video system to support perioperative situation awareness. Journal of Clinical Nursing. 18(16). 2366–2371. 14 indexed citations
18.
LaMonte, Marian P., et al.. (2000). TeleBAT: Mobile telemedicine for the brain attack team. Journal of Stroke and Cerebrovascular Diseases. 9(3). 128–135. 51 indexed citations
19.
20.
Xiao, Yan, et al.. (1998). Design and Evaluation of a Real-Time Mobile Telemedicine System for Ambulance Transport. Journal of High Speed Networks. 9(1). 1102–1102. 9 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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