Mirren Mandalia

966 total citations
9 papers, 778 citations indexed

About

Mirren Mandalia is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Biomedical Engineering. According to data from OpenAlex, Mirren Mandalia has authored 9 papers receiving a total of 778 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surgery, 6 papers in Cardiology and Cardiovascular Medicine and 5 papers in Biomedical Engineering. Recurrent topics in Mirren Mandalia's work include Surgical Simulation and Training (6 papers), Cardiac, Anesthesia and Surgical Outcomes (5 papers) and Anatomy and Medical Technology (5 papers). Mirren Mandalia is often cited by papers focused on Surgical Simulation and Training (6 papers), Cardiac, Anesthesia and Surgical Outcomes (5 papers) and Anatomy and Medical Technology (5 papers). Mirren Mandalia collaborates with scholars based in United Kingdom. Mirren Mandalia's co-authors include Vivek Datta, Ara Darzi, Sean Mackay, Simon Bann, Avril Chang, Nicholas Cheshire, Jonathan Beard, A. Darzi, Julian Hance and S Bann and has published in prestigious journals such as British journal of surgery, The American Journal of Surgery and Journal of the American College of Surgeons.

In The Last Decade

Mirren Mandalia

9 papers receiving 762 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mirren Mandalia United Kingdom 8 693 388 251 194 151 9 778
J. Bruce Dunne United States 15 834 1.2× 474 1.2× 179 0.7× 146 0.8× 194 1.3× 17 992
Julian Hance United Kingdom 11 570 0.8× 304 0.8× 152 0.6× 105 0.5× 139 0.9× 14 646
R. M. Satava United States 8 768 1.1× 370 1.0× 150 0.6× 110 0.6× 167 1.1× 12 869
Gunnar Ahlberg Sweden 9 1.0k 1.5× 346 0.9× 195 0.8× 107 0.6× 227 1.5× 10 1.1k
Sarah Markley United States 5 428 0.6× 260 0.7× 96 0.4× 116 0.6× 141 0.9× 7 487
Raad Fayez Canada 3 429 0.6× 269 0.7× 88 0.4× 97 0.5× 114 0.8× 4 454
P. Diederick van Hove Netherlands 4 398 0.6× 187 0.5× 131 0.5× 140 0.7× 85 0.6× 7 440
A. Chang United Kingdom 9 570 0.8× 179 0.5× 88 0.4× 77 0.4× 91 0.6× 13 659
Ignacio Oropesa García Spain 14 463 0.7× 317 0.8× 80 0.3× 96 0.5× 98 0.6× 36 563
Lucian Panait United States 15 671 1.0× 238 0.6× 56 0.2× 68 0.4× 119 0.8× 52 820

Countries citing papers authored by Mirren Mandalia

Since Specialization
Citations

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

Fields of papers citing papers by Mirren Mandalia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mirren Mandalia

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

All Works

9 of 9 papers shown
1.
Mandalia, Mirren, et al.. (2017). Introduction of a novel service model to improve uptake and adherence with cardiac rehabilitation within Buckinghamshire Healthcare NHS Trust. BMC Cardiovascular Disorders. 17(1). 184–184. 7 indexed citations
2.
Mandalia, Mirren, et al.. (2007). Contact with fig tree sap: An unusual cause of burn injury. Burns. 34(5). 719–721. 12 indexed citations
3.
Datta, Vivek, Simon Bann, Mirren Mandalia, & Ara Darzi. (2006). The surgical efficiency score: a feasible, reliable, and valid method of skills assessment. The American Journal of Surgery. 192(3). 372–378. 80 indexed citations
4.
Datta, Vivek, S Bann, Rajesh Aggarwal, et al.. (2006). Technical skills examination for general surgical trainees. British journal of surgery. 93(9). 1139–1146. 39 indexed citations
5.
Datta, Vivek, Simon Bann, Jonathan Beard, Mirren Mandalia, & Ara Darzi. (2004). Comparison of bench test evaluations of surgical skill with live operating performance assessments. Journal of the American College of Surgeons. 199(4). 603–606. 85 indexed citations
6.
Mackay, Sean, Vivek Datta, Mirren Mandalia, Paul Bassett, & Ara Darzi. (2002). Electromagnetic motion analysis in the assessment of surgical skill: Relationship between time and movement. ANZ Journal of Surgery. 72(9). 632–634. 35 indexed citations
7.
Datta, Vivek, Mirren Mandalia, Sean Mackay, et al.. (2002). Relationship between skill and outcome in the laboratory-based model. Surgery. 131(3). 318–323. 113 indexed citations
8.
Datta, Vivek, Mirren Mandalia, Sean Mackay, & A. Darzi. (2002). The PreOp flexible sigmoidoscopy trainer. Surgical Endoscopy. 16(10). 1459–1463. 63 indexed citations
9.
Datta, Vivek, Sean Mackay, Mirren Mandalia, & Ara Darzi. (2001). The Use of Electromagnetic Motion Tracking Analysis To Objectively Measure Open Surgical Skill in The Laboratory-Based Model. Journal of the American College of Surgeons. 193(5). 479–485. 344 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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