Jason Theiling

412 total citations
13 papers, 111 citations indexed

About

Jason Theiling is a scholar working on Emergency Medicine, Epidemiology and Surgery. According to data from OpenAlex, Jason Theiling has authored 13 papers receiving a total of 111 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Emergency Medicine, 3 papers in Epidemiology and 2 papers in Surgery. Recurrent topics in Jason Theiling's work include Emergency and Acute Care Studies (6 papers), Machine Learning in Healthcare (2 papers) and Sepsis Diagnosis and Treatment (2 papers). Jason Theiling is often cited by papers focused on Emergency and Acute Care Studies (6 papers), Machine Learning in Healthcare (2 papers) and Sepsis Diagnosis and Treatment (2 papers). Jason Theiling collaborates with scholars based in United States. Jason Theiling's co-authors include Alexander T. Limkakeng, H. Pendell Meyers, Salim Rezaie, Stephen W. Smith, Michael Hocker, Marshall Nichols, Charles J. Gerardo, Daniel M. Buckland, Mark Sendak and Suresh Balu and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Heart Journal and Annals of Emergency Medicine.

In The Last Decade

Jason Theiling

8 papers receiving 105 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jason Theiling United States 5 65 45 32 14 13 13 111
Akshay Khunte United States 8 98 1.5× 9 0.2× 34 1.1× 6 0.4× 26 2.0× 19 187
Harun Otieno Kenya 7 89 1.4× 20 0.4× 20 0.6× 14 1.0× 7 0.5× 8 127
Nella Hendley United States 6 70 1.1× 60 1.3× 30 0.9× 10 0.7× 4 0.3× 9 118
Lynette Newby United States 6 102 1.6× 27 0.6× 20 0.6× 21 1.5× 5 0.4× 6 183
Brahmajee Nallamothu United States 3 35 0.5× 19 0.4× 18 0.6× 31 2.2× 14 1.1× 3 80
Ricardo Rivera-López Spain 5 47 0.7× 9 0.2× 10 0.3× 6 0.4× 3 0.2× 18 83
Frank‐Peter Stephan Switzerland 4 32 0.5× 40 0.9× 7 0.2× 14 1.0× 7 0.5× 9 88
Dorthe Svenstrup Møller Denmark 8 126 1.9× 17 0.4× 5 0.2× 23 1.6× 10 0.8× 18 193
Nadim Lalani Canada 5 14 0.2× 74 1.6× 13 0.4× 92 6.6× 7 0.5× 7 158
G. Justin Paul India 6 97 1.5× 17 0.4× 21 0.7× 39 2.8× 6 0.5× 22 115

Countries citing papers authored by Jason Theiling

Since Specialization
Citations

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

Fields of papers citing papers by Jason Theiling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Theiling

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

All Works

13 of 13 papers shown
1.
Denis, Laure, et al.. (2024). 347 Efficacy of the Weapon Screening Protocol in Mitigating Workplace Violence at Duke Emergency Department. Annals of Emergency Medicine. 84(4). S159–S159.
3.
4.
Saterbak, Ann, et al.. (2023). Simulation device for shoulder reductions: overview of prototyping, testing, and design instructions. SHILAP Revista de lepidopterología. 8(1). 8–8.
5.
Allen, Deborah H., et al.. (2021). Critical Care Transport of the Temporary Portable Ventricular Support Device. Air Medical Journal. 40(6). 390–394. 2 indexed citations
6.
Buckland, Daniel M., Marshall Nichols, Michael Gao, et al.. (2021). Development and Validation of Machine Learning Models to Predict Admission From Emergency Department to Inpatient and Intensive Care Units. Annals of Emergency Medicine. 78(2). 290–302. 23 indexed citations
7.
Allen, Deborah H., et al.. (2020). Point-of-Care Laboratory Data Collection During Critical Care Transport. Air Medical Journal. 40(1). 81–83. 4 indexed citations
8.
Theiling, Jason, et al.. (2020). A Method for Grouping Emergency Department Visits by Severity and Complexity. Western Journal of Emergency Medicine. 21(5). 1147–1155. 4 indexed citations
9.
Theiling, Jason, Mark Sendak, Armando Bedoya, et al.. (2019). 2 Sepsis Watch: A Successful Deployment of a Deep Learning Sepsis Detection and Treatment Platform. Annals of Emergency Medicine. 74(4). S1–S2. 1 indexed citations
10.
Theiling, Jason, et al.. (2019). 31 Impacting Emergency Department Left Without Being Seen Rates Through Physician Resourcing. Annals of Emergency Medicine. 74(4). S13–S13. 1 indexed citations
11.
Meyers, H. Pendell, et al.. (2015). Validation of the modified Sgarbossa criteria for acute coronary occlusion in the setting of left bundle branch block: A retrospective case-control study. American Heart Journal. 170(6). 1255–1264. 63 indexed citations
12.
Meyers, H. Pendell, Alexander T. Limkakeng, Amit Patel, et al.. (2015). 49 Validation of the Modified Sgarbossa Criteria for Acute Coronary Occlusion in the Setting of Left Bundle Branch Block: Retrospective Case-Control Study. Annals of Emergency Medicine. 66(4). S17–S17.
13.
Hocker, Michael, et al.. (1996). NHAMCS Validation of Emergency Severity Index as an Indicator of Emergency Department Resource Utilization. Western Journal of Emergency Medicine. 19(5). 855–862. 13 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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