David A. McClusky
- Surgery top 2%
- Biomedical Engineering top 5%
- Physiology top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- C. Daniel SmithAnthony G. GallagherAndrew LedermanLars EnochssonGunnar AhlbergStig RamelDag ArvidssonLeif Hedman
- Topics
- Surgical Simulation and Training (11 papers)Anatomy and Medical Technology (7 papers)Gastroesophageal reflux and treatments (4 papers)
- Cited by
- SurgeryGastroenterologyPhysiology
- Partner nations
- United StatesSwedenUnited Kingdom
In The Last Decade
David A. McClusky
32 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Surgery 1.4k
- Biomedical Engineering 570
- Physiology 361
- Cardiology and Cardiovascular Medicine 238
- Computer Vision and Pattern Recognition 201
Countries citing papers authored by David A. McClusky
This map shows the geographic impact of David A. McClusky'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 David A. McClusky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David A. McClusky more than expected).
Fields of papers citing papers by David A. McClusky
This network shows the impact of papers produced by David A. McClusky. 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 David A. McClusky. The network helps show where David A. McClusky may publish in the future.
Co-authorship network of co-authors of David A. McClusky
This figure shows the co-authorship network connecting the top 25 collaborators of David A. McClusky. A scholar is included among the top collaborators of David A. McClusky 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 David A. McClusky. David A. McClusky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 42 | |
| 2 | 31 | |
| 3 | 23 | |
| 4 | 5 | |
| 5 | Proficiency-based virtual reality training significantly reduces the error rate for residents during their first 10 laparoscopic cholecystectomiesbreakdown → | 496 |
| 6 | 64 | |
| 7 | 13 | |
| 8 | 57 | |
| 9 | 56 | |
| 10 | 6 | |
| 11 | 39 | |
| 12 | 126 | |
| 13 | 24 | |
| 14 | 44 | |
| 15 | 28 | |
| 16 | 56 | |
| 17 | 1 | |
| 18 | 29 | |
| 19 | Atlas of surgical anatomy for general surgeons | 9 |
| 20 | 45 |
About David A. McClusky
David A. McClusky is a scholar working on Gastroenterology, Surgery and Neurology, having authored 32 papers that have together received 1.6k indexed citations. Recurring topics across this work include Surgical Simulation and Training (11 papers), Anatomy and Medical Technology (7 papers) and Gastroesophageal reflux and treatments (4 papers). The work is most often cited by research in Surgery (1.4k citations), Gastroenterology (153 citations) and Physiology (361 citations). David A. McClusky has collaborated with scholars based in United States, Sweden and United Kingdom. Frequent co-authors include C. Daniel Smith, Anthony G. Gallagher, Andrew Lederman, Lars Enochsson, Gunnar Ahlberg, Stig Ramel, Dag Arvidsson, Leif Hedman, C. D. Smith and E. Matt Ritter. Their work appears in journals such as Gastroenterology, Annals of Surgery and Journal of Vascular Surgery.
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.