Carla M. Pugh

5.0k total citations
174 papers, 2.6k citations indexed

About

Carla M. Pugh is a scholar working on Surgery, Public Health, Environmental and Occupational Health and Physiology. According to data from OpenAlex, Carla M. Pugh has authored 174 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 105 papers in Surgery, 67 papers in Public Health, Environmental and Occupational Health and 44 papers in Physiology. Recurrent topics in Carla M. Pugh's work include Surgical Simulation and Training (95 papers), Innovations in Medical Education (56 papers) and Simulation-Based Education in Healthcare (44 papers). Carla M. Pugh is often cited by papers focused on Surgical Simulation and Training (95 papers), Innovations in Medical Education (56 papers) and Simulation-Based Education in Healthcare (44 papers). Carla M. Pugh collaborates with scholars based in United States, Israel and Canada. Carla M. Pugh's co-authors include Debra A. DaRosa, Anne-Lise D. D’Angelo, Alex Nagle, Jay B. Prystowsky, Richard H. Bell, Shlomi Laufer, Richard E. Clark, Patricia Youngblood, Rebecca D. Ray and Daniel J. Scott and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of Surgery and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Carla M. Pugh

166 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carla M. Pugh United States 30 1.6k 827 566 526 440 174 2.6k
Yaron Munz United Kingdom 29 2.1k 1.3× 459 0.6× 1.0k 1.8× 600 1.1× 542 1.2× 49 2.8k
James R. Korndorffer United States 31 2.6k 1.6× 878 1.1× 1.4k 2.5× 882 1.7× 627 1.4× 108 3.3k
Steven D. Schwaitzberg United States 33 2.4k 1.4× 495 0.6× 798 1.4× 380 0.7× 428 1.0× 209 3.8k
Brian J. Dunkin United States 33 2.8k 1.7× 1.1k 1.3× 788 1.4× 423 0.8× 430 1.0× 134 3.9k
Seifu T. Tesfay United States 22 2.2k 1.3× 488 0.6× 1.3k 2.4× 548 1.0× 503 1.1× 27 2.5k
Carol‐Anne Moulton Canada 30 1.5k 0.9× 1.2k 1.4× 400 0.7× 436 0.8× 344 0.8× 80 3.2k
Michael M. Awad United States 25 1.3k 0.8× 873 1.1× 379 0.7× 143 0.3× 376 0.9× 94 2.6k
Jason Park Canada 26 1.0k 0.6× 888 1.1× 421 0.7× 606 1.2× 203 0.5× 83 2.3k
Philip H. Pucher United Kingdom 30 1.6k 1.0× 320 0.4× 319 0.6× 347 0.7× 358 0.8× 116 2.6k
Li Felländer‐Tsai Sweden 35 2.0k 1.2× 412 0.5× 770 1.4× 582 1.1× 158 0.4× 128 3.5k

Countries citing papers authored by Carla M. Pugh

Since Specialization
Citations

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

Fields of papers citing papers by Carla M. Pugh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carla M. Pugh. 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 Carla M. Pugh. The network helps show where Carla M. Pugh may publish in the future.

Co-authorship network of co-authors of Carla M. Pugh

This figure shows the co-authorship network connecting the top 25 collaborators of Carla M. Pugh. A scholar is included among the top collaborators of Carla M. Pugh 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 Carla M. Pugh. Carla M. Pugh 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.
Root, Samuel E., Can Wu, Hojung Choi, et al.. (2025). A damage-perceptive, self-healing electronic skin with millimeter resolution. Device. 3(8). 100802–100802. 2 indexed citations
2.
Alimi, Yewande, Linda Barry, Andre R. Campbell, et al.. (2025). A qualitative study of micro and macroaggression experienced by Black surgical trainees through an anonymous reporting. The American Journal of Surgery. 247. 116371–116371.
3.
Korndorffer, James R., et al.. (2025). Novel Use of Objective Sensor Technology: Creation of Individualized Education Plans to Develop Operative Mastery. Journal of the American College of Surgeons. 240(4). 638–645. 1 indexed citations
4.
Schnelldorfer, Thomas, Andrew A. Gumbs, Amin Madani, et al.. (2024). White paper: requirements for routine data recording in the operating room. 4(1). 7–22. 3 indexed citations
5.
Vedula, S. Swaroop, Ahmed Ghazi, Justin Collins, et al.. (2022). Artificial Intelligence Methods and Artificial Intelligence-Enabled Metrics for Surgical Education: A Multidisciplinary Consensus. Journal of the American College of Surgeons. 234(6). 1181–1192. 34 indexed citations
6.
Meer, Elana, Byron D. Hughes, Colin Martin, et al.. (2021). Reassessing career pathways of surgical leaders: An examination of surgical leaders’ early accomplishments. The American Journal of Surgery. 222(5). 933–936. 1 indexed citations
7.
Greenberg, Caprice C., et al.. (2019). In Search of Characterizing Surgical Skill. Journal of surgical education. 76(5). 1348–1363. 11 indexed citations
8.
Sullivan, Sarah, A. R. Ruis, & Carla M. Pugh. (2017). Procedural Simulations and Reflective Practice: Meeting the Need. Journal of Laparoendoscopic & Advanced Surgical Techniques. 27(5). 455–458. 5 indexed citations
9.
Laufer, Shlomi, et al.. (2017). Improving diagnosis in healthcare: Local versus national adoption of recommended guidelines for the clinical breast examination. The American Journal of Surgery. 215(6). 995–999. 3 indexed citations
10.
Greenberg, Jacob A., Sally Jolles, Sarah Sullivan, et al.. (2017). A structured, extended training program to facilitate adoption of new techniques for practicing surgeons. Surgical Endoscopy. 32(1). 217–224. 22 indexed citations
11.
Ray, Rebecca D., et al.. (2016). Relationship Between Technical Errors and Decision-Making Skills in the Junior Resident. Journal of surgical education. 73(6). e84–e90. 15 indexed citations
12.
Rutherford, Drew, et al.. (2016). Can a virtual reality assessment of fine motor skill predict successful central line insertion?. The American Journal of Surgery. 212(4). 573–578.e1. 15 indexed citations
13.
Hu, Yue-Yung, Robert G. Radwin, Qianqian Zhao, et al.. (2014). Quantifying technical skills during open operations using video-based motion analysis. Surgery. 156(3). 729–734. 35 indexed citations
14.
Laufer, Shlomi, et al.. (2014). Multimodality approach to classifying hand utilization for the clinical breast examination.. PubMed. 196. 238–44. 6 indexed citations
15.
Pugh, Carla M.. (2013). Application of National Testing Standards to Simulation-Based Assessments of Clinical Palpation Skills. Military Medicine. 178(10S). 55–63. 11 indexed citations
16.
Pugh, Carla M., et al.. (2012). Development and evaluation of a decision-based simulation for assessment of team skills. Surgery. 152(2). 152–157. 14 indexed citations
17.
Pugh, Carla M., et al.. (2012). Clinical examination simulation: getting to real.. PubMed. 173. 424–9. 7 indexed citations
18.
Pugh, Carla M., et al.. (2010). Intra-operative decision making: More than meets the eye. Journal of Biomedical Informatics. 44(3). 486–496. 58 indexed citations
19.
Rooney, Deborah M., Carla M. Pugh, Edward D. Auyang, Eric S. Hungness, & Debra A. DaRosa. (2010). Administrative considerations when implementing ACS/APDS Skills Curriculum. Surgery. 147(5). 614–621. 17 indexed citations
20.
Prystowsky, Jay B., Carla M. Pugh, & Alex Nagle. (2005). In Brief. Current Problems in Surgery. 42(10). 688–692. 57 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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