James J. Fehr

742 total citations
28 papers, 414 citations indexed

About

James J. Fehr is a scholar working on Surgery, Physiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, James J. Fehr has authored 28 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Surgery, 11 papers in Physiology and 9 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in James J. Fehr's work include Simulation-Based Education in Healthcare (10 papers), Cardiac, Anesthesia and Surgical Outcomes (8 papers) and Clinical Reasoning and Diagnostic Skills (4 papers). James J. Fehr is often cited by papers focused on Simulation-Based Education in Healthcare (10 papers), Cardiac, Anesthesia and Surgical Outcomes (8 papers) and Clinical Reasoning and Diagnostic Skills (4 papers). James J. Fehr collaborates with scholars based in United States, Australia and Puerto Rico. James J. Fehr's co-authors include David J. Murray, John R. Boulet, Mary E. McBride, Avihu Z. Gazit, Leonard G. Feld, Edward E. Conway, Ron L. Kaplan, Muhammad Waseem, Michael G. Leu and Matthew Garber and has published in prestigious journals such as SHILAP Revista de lepidopterología, PEDIATRICS and Journal of Allergy and Clinical Immunology.

In The Last Decade

James J. Fehr

28 papers receiving 399 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James J. Fehr United States 11 129 120 113 84 74 28 414
Mui Teng Chua Singapore 10 56 0.4× 121 1.0× 89 0.8× 40 0.5× 83 1.1× 49 349
Gladys Fernandez United States 9 164 1.3× 20 0.2× 199 1.8× 161 1.9× 52 0.7× 18 432
Jason Lord Canada 8 81 0.6× 165 1.4× 177 1.6× 68 0.8× 79 1.1× 12 397
Mayte Figueroa United States 8 91 0.7× 66 0.6× 74 0.7× 37 0.4× 71 1.0× 15 283
Robert J. Sepanski United States 8 75 0.6× 41 0.3× 103 0.9× 69 0.8× 119 1.6× 17 447
Joshua Pyke United States 14 56 0.4× 111 0.9× 458 4.1× 109 1.3× 89 1.2× 16 679
Vihas Patel United States 13 332 2.6× 77 0.6× 180 1.6× 87 1.0× 24 0.3× 47 675
Peter L. Tangkau Netherlands 8 26 0.2× 63 0.5× 107 0.9× 18 0.2× 132 1.8× 13 398
Sugantha Sundar United States 8 51 0.4× 329 2.7× 75 0.7× 23 0.3× 190 2.6× 15 564
Amit Kaushal United States 8 22 0.2× 57 0.5× 50 0.4× 66 0.8× 31 0.4× 19 368

Countries citing papers authored by James J. Fehr

Since Specialization
Citations

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

Fields of papers citing papers by James J. Fehr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James J. Fehr. 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 James J. Fehr. The network helps show where James J. Fehr may publish in the future.

Co-authorship network of co-authors of James J. Fehr

This figure shows the co-authorship network connecting the top 25 collaborators of James J. Fehr. A scholar is included among the top collaborators of James J. Fehr 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 James J. Fehr. James J. Fehr 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.
Dalal, Priti G., Shobha Malviya, Joseph P. Cravero, & James J. Fehr. (2024). Reviewing “Nil Per Os” Guidance for Clear Fluids in Children Before Anesthesia: Survey of the Pediatric Anesthesia Leadership Council. Anesthesia & Analgesia. 140(3). 507–514. 3 indexed citations
2.
Safranek, Conrad, Elizabeth De Souza, Christos Vasilakis, et al.. (2022). Visualizing Opioid-Use Variation in a Pediatric Perioperative Dashboard. Applied Clinical Informatics. 13(2). 370–379. 8 indexed citations
3.
Schmidt, Alexander R., et al.. (2021). Pre-operative fasting times for clear liquids at a tertiary children’s hospital; what can be improved?. SHILAP Revista de lepidopterología. 16(3). 266–272. 8 indexed citations
4.
5.
Welch, Timothy P., et al.. (2020). The Current State of Combined Pediatric Anesthesiology–Critical Care Practice: A Survey of Dual-Trained Practitioners in the United States. Anesthesia & Analgesia. 132(1). 194–201. 3 indexed citations
6.
Feld, Leonard G., Daniel R. Neuspiel, Byron A. Foster, et al.. (2018). Clinical Practice Guideline: Maintenance Intravenous Fluids in Children. PEDIATRICS. 142(6). 122 indexed citations
7.
Jeffe, Donna B., et al.. (2018). Paediatric oncology simulation training for resident education. BMJ Simulation & Technology Enhanced Learning. 5(3). 155–160. 4 indexed citations
8.
Clebone, Anna, Gina Whitney, Michael R. Anderson, et al.. (2018). Development and Usability Testing of the Society for Pediatric Anesthesia Pedi Crisis Mobile Application. Anesthesia & Analgesia. 129(6). 1635–1644. 14 indexed citations
9.
Murray, David J., et al.. (2017). Simulation and the diagnostic process: a pilot study of trauma and rapid response teams. Diagnosis. 4(4). 241–249. 3 indexed citations
10.
Fehr, James J., Mary E. McBride, John R. Boulet, & David J. Murray. (2017). The Simulation-Based Assessment of Pediatric Rapid Response Teams. The Journal of Pediatrics. 188. 258–262.e1. 5 indexed citations
11.
Fehr, James J., et al.. (2016). Simulation-Based Assessment of ECMO Clinical Specialists. Simulation in Healthcare The Journal of the Society for Simulation in Healthcare. 11(3). 194–199. 29 indexed citations
12.
Fehr, James J., et al.. (2016). The important role of simulation in sedation. Current Opinion in Anaesthesiology. 29(Supplement 1). S14–S20. 9 indexed citations
13.
Murray, David J., Brad Freeman, John R. Boulet, et al.. (2015). Decision Making in Trauma Settings. Simulation in Healthcare The Journal of the Society for Simulation in Healthcare. 10(3). 139–145. 25 indexed citations
14.
Boston, Umar S., James J. Fehr, Avihu Z. Gazit, & Pirooz Eghtesady. (2013). Paracorporeal lung assist device: An innovative surgical strategy for bridging to lung transplant in an infant with severe pulmonary hypertension caused by alveolar capillary dysplasia. Journal of Thoracic and Cardiovascular Surgery. 146(4). e42–e43. 19 indexed citations
15.
Fehr, James J., et al.. (2013). Simulation-Based Education Is an Effective Teaching Tool for Pediatric Trainees, in the Diagnosis and Management of Pediatric Anaphylaxis. Journal of Allergy and Clinical Immunology. 131(2). AB221–AB221. 1 indexed citations
16.
Fehr, James J., Anita Honkanen, & David J. Murray. (2012). Simulation in pediatric anesthesiology. Pediatric Anesthesia. 22(10). 988–994. 15 indexed citations
17.
Gazit, Avihu Z. & James J. Fehr. (2011). Perioperative Management of the Pediatric Cardiac Transplantation Patient. Current Treatment Options in Cardiovascular Medicine. 13(5). 425–443. 5 indexed citations
18.
Gazit, Avihu Z., Charles B. Huddleston, Paul A. Checchia, James J. Fehr, & A. Thomas Pezzella. (2010). Care of the Pediatric Cardiac Surgery Patient—Part 2. Current Problems in Surgery. 47(4). 261–376. 5 indexed citations
19.
Fehr, James J., Carol A. Hirshman, & Charles W. Emala. (2000). Cellular signaling by the potent bronchoconstrictor endothelin-1 in airway smooth muscle. Critical Care Medicine. 28(6). 1884–1888. 4 indexed citations
20.
Schaffner, Andreas, et al.. (1983). [Acute osteomyelofibrosis. An overview and 2 personal cases].. PubMed. 113(23). 844–50. 2 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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