Chris de Gara

28 total papers · 718 total citations
19 papers, 469 citations indexed

About

Chris de Gara is a scholar working on Surgery, Public Health, Environmental and Occupational Health and Oncology. According to data from OpenAlex, Chris de Gara has authored 19 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 6 papers in Public Health, Environmental and Occupational Health and 4 papers in Oncology. Recurrent topics in Chris de Gara's work include Surgical Simulation and Training (4 papers), Innovations in Medical Education (3 papers) and Colorectal Cancer Screening and Detection (3 papers). Chris de Gara is often cited by papers focused on Surgical Simulation and Training (4 papers), Innovations in Medical Education (3 papers) and Colorectal Cancer Screening and Detection (3 papers). Chris de Gara collaborates with scholars based in Canada, United States and United Kingdom. Chris de Gara's co-authors include Ali Cadili, Paul T. Engels, Daniel W. Birch, Alan Barkun, Robert Enns, Catherine Dubé, Jonathan B. Meddings, Noah J. Switzer, Grigorios I. Leontiadis and Mark Borgaonkar and has published in prestigious journals such as SHILAP Revista de lepidopterología, The American Journal of Medicine and Journal of Pain and Symptom Management.

In The Last Decade

Chris de Gara

18 papers receiving 444 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Chris de Gara 245 101 93 92 50 19 469
Barbara J. Pettitt 264 1.1× 41 0.4× 207 2.2× 27 0.3× 17 0.3× 27 512
David G. Brauer 93 0.4× 59 0.6× 298 3.2× 88 1.0× 96 1.9× 19 518
Cindy Y. Chang 86 0.4× 36 0.4× 75 0.8× 90 1.0× 20 0.4× 18 414
Aadil Ahmed 290 1.2× 65 0.6× 109 1.2× 244 2.7× 12 0.2× 36 494
Marcia M. Wofford 75 0.3× 54 0.5× 108 1.2× 69 0.8× 30 0.6× 18 467
Nuzhath Khan 221 0.9× 79 0.8× 56 0.6× 46 0.5× 35 0.7× 9 410
Shirley Beng Suat Ooi 73 0.3× 82 0.8× 169 1.8× 82 0.9× 39 0.8× 27 551
Laura Horne 49 0.2× 60 0.6× 107 1.2× 60 0.7× 46 0.9× 22 413
Muhammad Shahid Shamim 163 0.7× 35 0.3× 211 2.3× 48 0.5× 51 1.0× 45 490
Margaret M. Sullivan 38 0.2× 129 1.3× 109 1.2× 54 0.6× 14 0.3× 36 540

Countries citing papers authored by Chris de Gara

Since Specialization
Citations

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

Fields of papers citing papers by Chris de Gara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chris de Gara. 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 Chris de Gara. The network helps show where Chris de Gara may publish in the future.

Co-authorship network of co-authors of Chris de Gara

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

All Works

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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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