Tyler Ewing

560 total citations
15 papers, 395 citations indexed

About

Tyler Ewing is a scholar working on Surgery, Internal Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Tyler Ewing has authored 15 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 6 papers in Internal Medicine and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Tyler Ewing's work include Venous Thromboembolism Diagnosis and Management (6 papers), Organ Donation and Transplantation (4 papers) and Organ Transplantation Techniques and Outcomes (4 papers). Tyler Ewing is often cited by papers focused on Venous Thromboembolism Diagnosis and Management (6 papers), Organ Donation and Transplantation (4 papers) and Organ Transplantation Techniques and Outcomes (4 papers). Tyler Ewing collaborates with scholars based in United States and Philippines. Tyler Ewing's co-authors include Darren Malinoski, Madhukar S. Patel, Cristobal Barrios, Michael Lekawa, Allen Kong, Marianne Cinat, Matthew Dolich, Fariba Jafari, David B. Hoyt and Megan Crutchfield and has published in prestigious journals such as Journal of Vascular Surgery, American Journal of Transplantation and The American Journal of Surgery.

In The Last Decade

Tyler Ewing

15 papers receiving 386 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tyler Ewing United States 10 209 163 120 100 99 15 395
Anne H. Cain‐Nielsen United States 15 164 0.8× 223 1.4× 250 2.1× 32 0.3× 170 1.7× 32 602
Dauryne L. Shaffer United States 12 238 1.1× 116 0.7× 39 0.3× 111 1.1× 134 1.4× 29 440
Michael Steuerwald United States 10 174 0.8× 124 0.8× 193 1.6× 15 0.1× 123 1.2× 21 527
Olivier Gattolliat France 4 181 0.9× 110 0.7× 42 0.3× 25 0.3× 102 1.0× 5 337
Vikramjit Mukherjee United States 10 79 0.4× 60 0.4× 68 0.6× 20 0.2× 62 0.6× 61 301
Danila Oder United States 7 258 1.2× 151 0.9× 202 1.7× 50 0.5× 89 0.9× 8 415
Judy N. Mikhail United States 12 90 0.4× 198 1.2× 391 3.3× 78 0.8× 63 0.6× 25 604
Jill L. Jakubus United States 10 113 0.5× 183 1.1× 314 2.6× 43 0.4× 99 1.0× 16 470
Renee A. Higgerson United States 8 63 0.3× 62 0.4× 55 0.5× 46 0.5× 25 0.3× 9 312
Allison Sabel United States 8 78 0.4× 104 0.6× 122 1.0× 9 0.1× 58 0.6× 9 351

Countries citing papers authored by Tyler Ewing

Since Specialization
Citations

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

Fields of papers citing papers by Tyler Ewing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tyler Ewing

This figure shows the co-authorship network connecting the top 25 collaborators of Tyler Ewing. A scholar is included among the top collaborators of Tyler Ewing 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 Tyler Ewing. Tyler Ewing is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
2.
Patel, Madhukar S., Tyler Ewing, Marko Bukur, et al.. (2016). Patients on state organ donor registries receive similar levels of intensive care compared to those who are not: an opportunity to increase public intent to donate. Clinical Transplantation. 30(6). 682–687. 3 indexed citations
3.
Patel, Madhukar S., Claus U. Niemann, John R. Zatarain, et al.. (2015). The Impact of Hydroxyethyl Starch Use in Deceased Organ Donors on the Development of Delayed Graft Function in Kidney Transplant Recipients: A Propensity-Adjusted Analysis. American Journal of Transplantation. 15(8). 2152–2158. 28 indexed citations
4.
Bloom, Matthew B., Tyler Ewing, Madhukar S. Patel, et al.. (2014). Impact of Deceased Organ Donor Demographics and Critical Care End Points on Liver Transplantation and Graft Survival Rates. Journal of the American College of Surgeons. 220(1). 38–47. 21 indexed citations
5.
Patel, Madhukar S., John R. Zatarain, Tyler Ewing, et al.. (2014). The Impact of Meeting Donor Management Goals on the Number of Organs Transplanted per Expanded Criteria Donor. JAMA Surgery. 149(9). 969–969. 53 indexed citations
6.
Bloom, Matthew B., Heather Warren, Tyler Ewing, et al.. (2013). The impact of implementing a 24/7 open trauma bed protocol in the surgical intensive care unit on throughput and outcomes. The Journal of Trauma: Injury, Infection, and Critical Care. 75(1). 97–101. 20 indexed citations
7.
Malinoski, Darren, Tyler Ewing, Daniel R. Margulies, et al.. (2013). Which central venous catheters have the highest rate of catheter-associated deep venous thrombosis. The Journal of Trauma: Injury, Infection, and Critical Care. 74(2). 454–462. 37 indexed citations
8.
Patel, Madhukar S., Tyler Ewing, Allen Kong, et al.. (2013). Risk factors for venous thromboembolism in critically ill nontrauma surgical patients who cannot receive chemical prophylaxis. The American Journal of Surgery. 206(3). 300–306. 2 indexed citations
9.
Ewing, Tyler, et al.. (2013). Determining optimal threshold for glucose control in organ donors after neurologic determination of death. The Journal of Trauma: Injury, Infection, and Critical Care. 76(1). 62–69. 18 indexed citations
10.
Ewing, Tyler, Cristobal Barrios, Cecilia Lau, et al.. (2012). Predictors of Hazardous Drinking Behavior in 1,340 Adult Trauma Patients: A Computerized Alcohol Screening and Intervention Study. Journal of the American College of Surgeons. 215(4). 489–495. 12 indexed citations
11.
Malinoski, Darren, Fariba Jafari, & Tyler Ewing. (2011). Standard Prophylactic Enoxaparin Dosing Leads to Inadequate Anti-Xa Levels and Increased Deep Venous Thrombosis Rate in Critically Ill Trauma and Surgical Patients. Journal of Vascular Surgery. 53(2). 548–548. 1 indexed citations
12.
Malinoski, Darren, Tyler Ewing, Madhukar S. Patel, et al.. (2011). The Natural History of Upper Extremity Deep Venous Thromboses in Critically Ill Surgical and Trauma Patients: What Is the Role of Anticoagulation?. The Journal of Trauma: Injury, Infection, and Critical Care. 71(2). 316–322. 15 indexed citations
13.
Malinoski, Darren, Tyler Ewing, Madhukar S. Patel, et al.. (2011). Risk factors for venous thromboembolism in critically ill trauma patients who cannot receive chemical prophylaxis. Injury. 44(1). 80–85. 29 indexed citations
14.
Malinoski, Darren, Fariba Jafari, Tyler Ewing, et al.. (2010). Standard Prophylactic Enoxaparin Dosing Leads to Inadequate Anti-Xa Levels and Increased Deep Venous Thrombosis Rates in Critically Ill Trauma and Surgical Patients. The Journal of Trauma: Injury, Infection, and Critical Care. 68(4). 874–880. 148 indexed citations
15.
Warrick, J.M., et al.. (2000). Effect of clindamycin hydrochloride on oral malodor, plaque, calculus, and gingivitis in dogs with periodontitis.. PubMed. 1(1). 5–16. 5 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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