Chet D. Schrader

531 total citations
26 papers, 354 citations indexed

About

Chet D. Schrader is a scholar working on Emergency Medicine, General Health Professions and Economics and Econometrics. According to data from OpenAlex, Chet D. Schrader has authored 26 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Emergency Medicine, 10 papers in General Health Professions and 9 papers in Economics and Econometrics. Recurrent topics in Chet D. Schrader's work include Emergency and Acute Care Studies (17 papers), Healthcare Policy and Management (9 papers) and Chronic Disease Management Strategies (4 papers). Chet D. Schrader is often cited by papers focused on Emergency and Acute Care Studies (17 papers), Healthcare Policy and Management (9 papers) and Chronic Disease Management Strategies (4 papers). Chet D. Schrader collaborates with scholars based in United States. Chet D. Schrader's co-authors include Lawrence M. Lewis, Nestor R. Zenarosa, Richard D. Robinson, Hao Wang, Subhash Aryal, Sajid A. Shaikh, Vicki A. Nejtek, Hao Wang, Bradford E. Jackson and James P. d’Etienne and has published in prestigious journals such as PLoS ONE, Medicine and Annals of Emergency Medicine.

In The Last Decade

Chet D. Schrader

23 papers receiving 344 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chet D. Schrader United States 10 208 103 98 71 59 26 354
Nestor R. Zenarosa United States 14 292 1.4× 159 1.5× 165 1.7× 91 1.3× 49 0.8× 34 569
Ernest Bragulat Spain 14 157 0.8× 66 0.6× 203 2.1× 37 0.5× 57 1.0× 37 454
Rob Grierson Canada 6 296 1.4× 74 0.7× 58 0.6× 50 0.7× 19 0.3× 8 384
Amber K. Sabbatini United States 14 295 1.4× 189 1.8× 56 0.6× 163 2.3× 27 0.5× 35 519
Shaw Natsui United States 11 93 0.4× 90 0.9× 88 0.9× 17 0.2× 51 0.9× 22 376
Assaad Sayah United States 13 240 1.2× 146 1.4× 160 1.6× 104 1.5× 44 0.7× 32 527
Ineke van der Wulp Netherlands 12 303 1.5× 125 1.2× 92 0.9× 107 1.5× 30 0.5× 23 557
Eugene S. Chu United States 12 173 0.8× 62 0.6× 63 0.6× 53 0.7× 17 0.3× 26 416
Maame Yaa A. B. Yiadom United States 9 180 0.9× 48 0.5× 130 1.3× 41 0.6× 33 0.6× 41 324
Jason T. Schaffer United States 11 68 0.3× 122 1.2× 52 0.5× 24 0.3× 45 0.8× 21 349

Countries citing papers authored by Chet D. Schrader

Since Specialization
Citations

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

Fields of papers citing papers by Chet D. Schrader

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chet D. Schrader. 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 Chet D. Schrader. The network helps show where Chet D. Schrader may publish in the future.

Co-authorship network of co-authors of Chet D. Schrader

This figure shows the co-authorship network connecting the top 25 collaborators of Chet D. Schrader. A scholar is included among the top collaborators of Chet D. Schrader 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 Chet D. Schrader. Chet D. Schrader 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.
As’ád, Suryani, James P. d’Etienne, Nathan R. Hoot, et al.. (2024). Maximizing efficiency in emergency care: triple interventions to minimize left without being seen: An observational study. Medicine. 103(52). e40763–e40763.
3.
d’Etienne, James P., et al.. (2023). The status of patient portal use among Emergency Department patients experiencing houselessness: A large-scale single-center observational study. The American Journal of Emergency Medicine. 66. 118–123.
4.
Wang, Hao, et al.. (2022). Patient Portal Use Among Diabetic Patients With Different Races and Ethnicities. Journal of Clinical Medicine Research. 14(10). 400–408. 3 indexed citations
5.
Schrader, Chet D., et al.. (2022). Using HEART2 score to risk stratify chest pain patients in the Emergency Department: an observational study. BMC Cardiovascular Disorders. 22(1). 79–79. 2 indexed citations
7.
Schrader, Chet D., et al.. (2021). Role of HEART score in evaluating clinical outcomes among emergency department patients with different ethnicities. Journal of International Medical Research. 49(4). 3619071566–3619071566. 2 indexed citations
8.
Shaikh, Sajid A., et al.. (2021). A Simplified Comorbidity Evaluation Predicting Clinical Outcomes Among Patients With Coronavirus Disease 2019. Journal of Clinical Medicine Research. 13(4). 237–244. 4 indexed citations
10.
Schrader, Chet D., et al.. (2020). The Role of Using HEART Score to Risk Stratify Chest Pain Among Emergency Department High Utilizers. High Blood Pressure & Cardiovascular Prevention. 28(1). 69–78. 3 indexed citations
11.
Robinson, Richard D., et al.. (2019). Large observational study on risks predicting emergency department return visits and associated disposition deviations. Clinical and Experimental Emergency Medicine. 6(2). 144–151. 10 indexed citations
12.
Robinson, Richard D., et al.. (2019). HEART Score Risk Stratification of Low-Risk Chest Pain Patients in the Emergency Department: A Systematic Review and Meta-Analysis. Annals of Emergency Medicine. 74(2). 187–203. 72 indexed citations
13.
Schrader, Chet D., Richard D. Robinson, Sajid A. Shaikh, et al.. (2019). Common step-wise interventions improved primary care clinic visits and reduced emergency department discharge failures: a large-scale retrospective observational study. BMC Health Services Research. 19(1). 451–451. 8 indexed citations
14.
Wang, Hao, Jeffrey A. Kline, Bradford E. Jackson, et al.. (2017). The role of patient perception of crowding in the determination of real-time patient satisfaction at Emergency Department. International Journal for Quality in Health Care. 29(5). 722–727. 30 indexed citations
15.
Wang, Hao, et al.. (2016). A Derivation and Validation Study of an Early Blood Transfusion Needs Score for Severe Trauma Patients. Journal of Clinical Medicine Research. 8(8). 591–597. 10 indexed citations
16.
Wang, Hao, Carol Johnson, Richard D. Robinson, et al.. (2016). Roles of disease severity and post-discharge outpatient visits as predictors of hospital readmissions. BMC Health Services Research. 16(1). 564–564. 20 indexed citations
17.
Wang, Hao, et al.. (2015). Use of the SONET score to evaluate Urgent Care Center overcrowding: a prospective pilot study. BMJ Open. 5(4). e006860–e006860. 7 indexed citations
18.
Wang, Hao, et al.. (2015). The Role of Charity Care and Primary Care Physician Assignment on ED Use in Homeless Patients. The American Journal of Emergency Medicine. 33(8). 1006–1011. 21 indexed citations
19.
Schrader, Chet D. & Lawrence M. Lewis. (2012). Racial Disparity in Emergency Department Triage. Journal of Emergency Medicine. 44(2). 511–518. 86 indexed citations
20.
Schrader, Chet D., William G. Barsan, James A. Gordon, et al.. (2008). Scholarship in Emergency Medicine in an Environment of Increasing Clinical Demand: Proceedings from the 2007 Association of American Medical Colleges Annual Meeting. Academic Emergency Medicine. 15(6). 567–572. 4 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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