Isabella Devito

1.1k total citations
8 papers, 815 citations indexed

About

Isabella Devito is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Physiology. According to data from OpenAlex, Isabella Devito has authored 8 papers receiving a total of 815 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 5 papers in Cardiology and Cardiovascular Medicine and 4 papers in Physiology. Recurrent topics in Isabella Devito's work include Cardiac, Anesthesia and Surgical Outcomes (5 papers), Patient Safety and Medication Errors (4 papers) and Simulation-Based Education in Healthcare (4 papers). Isabella Devito is often cited by papers focused on Cardiac, Anesthesia and Surgical Outcomes (5 papers), Patient Safety and Medication Errors (4 papers) and Simulation-Based Education in Healthcare (4 papers). Isabella Devito collaborates with scholars based in Canada and United States. Isabella Devito's co-authors include Sherry Espin, Richard K. Reznick, Glenn Regehr, Lorelei Lingard, Lorelei Lingard, Viren N. Naik, Stephen H. Halpern, Zeev Friedman, Rita Katznelson and Naveed Siddiqui and has published in prestigious journals such as Anesthesiology, Academic Medicine and Medical Education.

In The Last Decade

Isabella Devito

8 papers receiving 769 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Isabella Devito Canada 8 273 266 242 203 190 8 815
Rebecca D. Minehart United States 13 236 0.9× 116 0.4× 155 0.6× 131 0.6× 128 0.7× 54 737
Priscilla West United States 9 552 2.0× 158 0.6× 202 0.8× 301 1.5× 217 1.1× 10 1.0k
Doug Bonacum United States 5 316 1.2× 144 0.5× 115 0.5× 215 1.1× 106 0.6× 7 583
Kenneth T. Fong United States 4 296 1.1× 142 0.5× 101 0.4× 211 1.0× 111 0.6× 7 602
Sarah E. Peyré United States 19 317 1.2× 681 2.6× 569 2.4× 352 1.7× 134 0.7× 49 1.4k
Margaret L. Boehler United States 18 138 0.5× 481 1.8× 756 3.1× 180 0.9× 196 1.0× 37 1.2k
Cathy J. Schwind United States 17 147 0.5× 270 1.0× 601 2.5× 92 0.5× 154 0.8× 27 976
Patrice Gabler Blair United States 19 96 0.4× 473 1.8× 600 2.5× 128 0.6× 147 0.8× 42 957
Nicole K. Roberts United States 16 94 0.3× 251 0.9× 585 2.4× 83 0.4× 160 0.8× 30 832
Amit Mishra United Kingdom 7 668 2.4× 452 1.7× 260 1.1× 514 2.5× 108 0.6× 10 1.2k

Countries citing papers authored by Isabella Devito

Since Specialization
Citations

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

Fields of papers citing papers by Isabella Devito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Isabella Devito

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

All Works

8 of 8 papers shown
1.
Friedman, Zeev, Naveed Siddiqui, Rita Katznelson, et al.. (2010). Clinical Impact of Epidural Anesthesia Simulation on Short and Long-term Learning Curve: High Versus Low-fidelity Model Training. Obstetric Anesthesia Digest. 30(1). 41–42. 8 indexed citations
2.
Friedman, Zeev, Naveed Siddiqui, Rita Katznelson, et al.. (2009). Clinical Impact of Epidural Anesthesia Simulation on Short- and Long-term Learning Curve. Regional Anesthesia & Pain Medicine. 34(3). 229–232. 60 indexed citations
3.
Friedman, Zeev, Naveed Siddiqui, Rita Katznelson, Isabella Devito, & Sharon Davies. (2008). Experience Is Not Enough. Anesthesiology. 108(5). 914–920. 33 indexed citations
4.
Friedman, Zeev, Rita Katznelson, Isabella Devito, Momin T. Siddiqui, & Vincent Chan. (2006). Objective Assessment of Manual Skills and Proficiency in Performing Epidural Anesthesia—Video-Assisted Validation. Regional Anesthesia & Pain Medicine. 31(4). 304–310. 52 indexed citations
5.
Lingard, Lorelei, Glenn Regehr, Sherry Espin, et al.. (2005). Perceptions of Operating Room Tension across Professions: Building Generalizable Evidence and Educational Resources. Academic Medicine. 80(Supplement). S75–S79. 35 indexed citations
6.
Naik, Viren N., Isabella Devito, & Stephen H. Halpern. (2003). Cusum analysis is a useful tool to assess resident proficiency at insertion of labour epidurals. Canadian Journal of Anesthesia/Journal canadien d anesthésie. 50(7). 694–698. 90 indexed citations
7.
Lingard, Lorelei, Richard K. Reznick, Sherry Espin, Glenn Regehr, & Isabella Devito. (2002). Team Communications in the Operating Room. Academic Medicine. 77(3). 232–237. 329 indexed citations
8.
Lingard, Lorelei, Richard K. Reznick, Isabella Devito, & Sherry Espin. (2002). Forming professional identities on the health care team: discursive constructions of the ‘other’ in the operating room. Medical Education. 36(8). 728–734. 208 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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