Marc T. Zubrow

810 total citations
24 papers, 504 citations indexed

About

Marc T. Zubrow is a scholar working on Critical Care and Intensive Care Medicine, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Marc T. Zubrow has authored 24 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Critical Care and Intensive Care Medicine, 7 papers in Surgery and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Marc T. Zubrow's work include Ultrasound in Clinical Applications (8 papers), Sepsis Diagnosis and Treatment (5 papers) and Radiology practices and education (5 papers). Marc T. Zubrow is often cited by papers focused on Ultrasound in Clinical Applications (8 papers), Sepsis Diagnosis and Treatment (5 papers) and Radiology practices and education (5 papers). Marc T. Zubrow collaborates with scholars based in United States and United Kingdom. Marc T. Zubrow's co-authors include Avelino C. Verceles, Michael T. McCurdy, Andrea R. Levine, Alfred Papali, Daniel Elliott, Christian Coletti, Maureen A. Seckel, Sanjay Subramanian, Michael Ries and Herbert J. Rogove and has published in prestigious journals such as CHEST Journal, The American Journal of Medicine and Critical Care Medicine.

In The Last Decade

Marc T. Zubrow

23 papers receiving 491 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marc T. Zubrow United States 14 196 133 104 102 99 24 504
Louis Voigt United States 13 123 0.6× 149 1.1× 68 0.7× 58 0.6× 68 0.7× 60 636
Frédéric Gonzalez France 10 119 0.6× 87 0.7× 120 1.2× 90 0.9× 24 0.2× 37 462
Eric Legome United States 13 168 0.9× 96 0.7× 94 0.9× 238 2.3× 80 0.8× 39 741
John Basmaji Canada 14 123 0.6× 88 0.7× 51 0.5× 168 1.6× 21 0.2× 58 585
Gianni D’Egidio Canada 11 45 0.2× 119 0.9× 74 0.7× 63 0.6× 109 1.1× 19 456
Michael Mader United States 16 310 1.6× 86 0.6× 149 1.4× 200 2.0× 157 1.6× 53 791
Alice Gallo de Moraes United States 13 66 0.3× 83 0.6× 123 1.2× 97 1.0× 21 0.2× 63 563
Raghu R. Seethala United States 13 104 0.5× 57 0.4× 109 1.0× 182 1.8× 43 0.4× 48 564
Bruno Adler Maccagnan Pinheiro Besen Brazil 15 222 1.1× 85 0.6× 144 1.4× 216 2.1× 22 0.2× 67 764
Gabriel Blecher Australia 11 145 0.7× 29 0.2× 86 0.8× 77 0.8× 65 0.7× 26 514

Countries citing papers authored by Marc T. Zubrow

Since Specialization
Citations

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

Fields of papers citing papers by Marc T. Zubrow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc T. Zubrow

This figure shows the co-authorship network connecting the top 25 collaborators of Marc T. Zubrow. A scholar is included among the top collaborators of Marc T. Zubrow 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 Marc T. Zubrow. Marc T. Zubrow 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.
2.
Levine, Andrea R., et al.. (2018). Brief training increases nurses’ comfort using tele-ultrasound: A feasibility study. Intensive and Critical Care Nursing. 51. 45–49. 13 indexed citations
3.
Verceles, Avelino C., et al.. (2018). A Pilot Study of Ultrasonography-Naïve Operators’ Ability to Use Tele-Ultrasonography to Assess the Heart and Lung. Journal of Intensive Care Medicine. 35(7). 672–678. 24 indexed citations
4.
Culligan, Melissa, Lindsey I Black, W. Burrows, et al.. (2017). P2.06-041 TeleNursing: A Thoracic Surgery Nursing Initiative Aimed at Decreasing Hospital Readmissions and Increasing Patient Satisfaction. Journal of Thoracic Oncology. 12(1). S1097–S1098. 2 indexed citations
5.
Robertson, Thomas, Andrea R. Levine, Avelino C. Verceles, et al.. (2017). Remote tele-mentored ultrasound for non-physician learners using FaceTime : A feasibility study in a low-income country. Journal of Critical Care. 40. 145–148. 44 indexed citations
6.
Levine, Andrea R., et al.. (2016). Ultrasound images transmitted via FaceTime are non-inferior to images on the ultrasound machine. Journal of Critical Care. 33. 51–55. 24 indexed citations
7.
Levine, Andrea R., et al.. (2015). Tele-intensivists can instruct non-physicians to acquire high-quality ultrasound images. Journal of Critical Care. 30(5). 871–875. 37 indexed citations
8.
Levine, Andrea R., et al.. (2014). Brief Training Can Improve Nonphysician Comfort in Obtaining Remotely-Guided Ultrasound Images. CHEST Journal. 146(4). 487A–487A. 2 indexed citations
9.
Verceles, Avelino C., Douglas S. Corwin, Majid Afshar, et al.. (2014). Half of the family members of critically ill patients experience excessive daytime sleepiness. Intensive Care Medicine. 40(8). 1124–1131. 46 indexed citations
10.
Lilly, Craig M., Marc T. Zubrow, Kenneth M. Kempner, et al.. (2014). Critical Care Telemedicine. Critical Care Medicine. 42(11). 2429–2436. 106 indexed citations
11.
Bhalala, Utpal, Christopher P. Bonafide, Christian Coletti, et al.. (2013). Correlations between first documented cardiac rhythms and preceding telemetry in patients with code blue events. Journal of Hospital Medicine. 8(4). 225–228. 1 indexed citations
12.
Zubrow, Marc T., et al.. (2013). Asymptomatic deep vein thrombosis in patients undergoing screening duplex ultrasonography. Journal of Hospital Medicine. 9(1). 19–22. 5 indexed citations
13.
Cannon, Chad, Christopher Holthaus, Marc T. Zubrow, et al.. (2012). The GENESIS Project (GENeralized Early Sepsis Intervention Strategies). Journal of Intensive Care Medicine. 28(6). 355–368. 40 indexed citations
14.
Bhalala, Utpal, Christopher P. Bonafide, Christian Coletti, et al.. (2012). Antecedent bradycardia and in-hospital cardiopulmonary arrest mortality in telemetry-monitored patients outside the ICU. Resuscitation. 83(9). 1106–1110. 16 indexed citations
15.
Drees, Marci, et al.. (2012). Bandemia with Normal White Blood Cell Counts Associated with Infection. The American Journal of Medicine. 125(11). 1124.e9–1124.e15. 18 indexed citations
16.
Coletti, Christian, Daniel Elliott, & Marc T. Zubrow. (2010). Resident Perceptions of a Tele-Intensive Care Unit Implementation. Telemedicine Journal and e-Health. 16(8). 894–897. 21 indexed citations
17.
Farley, Heather, et al.. (2010). Emergency Department Tachypnea Predicts Transfer to a Higher Level of Care in the First 24 hours After ED Admission. Academic Emergency Medicine. 17(7). 718–722. 23 indexed citations
18.
Zubrow, Marc T., et al.. (2008). Improving Care of the Sepsis Patient. The Joint Commission Journal on Quality and Patient Safety. 34(4). 187–191. 19 indexed citations
19.
20.
Wallace, Herbert W., et al.. (1973). Liquid membrane oxygenator. Journal of Thoracic and Cardiovascular Surgery. 66(6). 887–893. 6 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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