Scarlet Nazarian

2.2k total citations
19 papers, 222 citations indexed

About

Scarlet Nazarian is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Scarlet Nazarian has authored 19 papers receiving a total of 222 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Surgery, 7 papers in Pulmonary and Respiratory Medicine and 7 papers in Oncology. Recurrent topics in Scarlet Nazarian's work include Radiomics and Machine Learning in Medical Imaging (6 papers), Colorectal Cancer Screening and Detection (6 papers) and Gastric Cancer Management and Outcomes (4 papers). Scarlet Nazarian is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), Colorectal Cancer Screening and Detection (6 papers) and Gastric Cancer Management and Outcomes (4 papers). Scarlet Nazarian collaborates with scholars based in United Kingdom, Spain and United States. Scarlet Nazarian's co-authors include Ara Darzi, Hutan Ashrafian, Julian Teare, Kyle Lam, Ben Glover, James Adshead, Nikhil Vasdev, Nisha Patel, Alex J. Thompson and Michal Kawka and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Medical Internet Research and Surgical Endoscopy.

In The Last Decade

Scarlet Nazarian

19 papers receiving 211 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Scarlet Nazarian United Kingdom 7 64 59 55 54 50 19 222
Tom Hendriks Netherlands 12 56 0.9× 65 1.1× 48 0.9× 141 2.6× 15 0.3× 24 300
George Koulaouzidis United Kingdom 9 50 0.8× 28 0.5× 89 1.6× 159 2.9× 26 0.5× 35 281
Jarosław Hiczkiewicz Poland 9 62 1.0× 27 0.5× 45 0.8× 209 3.9× 82 1.6× 38 354
Armine Vardazaryan France 7 189 3.0× 64 1.1× 55 1.0× 60 1.1× 99 2.0× 11 298
Alexander J. Ryu United States 9 33 0.5× 47 0.8× 38 0.7× 63 1.2× 13 0.3× 43 247
Chadi Ayoub United States 7 70 1.1× 36 0.6× 105 1.9× 109 2.0× 14 0.3× 40 221
Peter Farjo United States 7 47 0.7× 40 0.7× 118 2.1× 200 3.7× 9 0.2× 22 331
Fnu Sapna United States 8 43 0.7× 16 0.3× 22 0.4× 61 1.1× 11 0.2× 21 221
Miguel Nobre Menezes Portugal 9 67 1.0× 31 0.5× 56 1.0× 125 2.3× 19 0.4× 57 229

Countries citing papers authored by Scarlet Nazarian

Since Specialization
Citations

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

Fields of papers citing papers by Scarlet Nazarian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scarlet Nazarian

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

All Works

19 of 19 papers shown
1.
Kawka, Michal, Zaynab Jawad, David Hakim, et al.. (2025). Robotic versus laparoscopic cholecystectomy for difficult gallbladders: an observational study of tertiary centre cases. Surgical Endoscopy. 39(5). 2958–2963. 1 indexed citations
2.
Nazarian, Scarlet, et al.. (2024). Development and validation of machine learning models to predict the need for haemostatic therapy in acute upper gastrointestinal bleeding. SHILAP Revista de lepidopterología. 17. 2422525107–2422525107. 5 indexed citations
3.
Nazarian, Scarlet, Jamie Murphy, Ara Darzi, et al.. (2024). Real-time classification of tumour and non-tumour tissue in colorectal cancer using diffuse reflectance spectroscopy and neural networks to aid margin assessment. International Journal of Surgery. 110(4). 1983–1991. 2 indexed citations
4.
Sánchez‐Peralta, Luisa F., Ben Glover, Cristina L. Saratxaga, et al.. (2023). Clinical Validation Benchmark Dataset and Expert Performance Baseline for Colorectal Polyp Localization Methods. Journal of Imaging. 9(9). 167–167. 1 indexed citations
5.
Nazarian, Scarlet, et al.. (2023). The future of endoscopy – what are the thoughts on artificial intelligence?. Journal of Experimental & Theoretical Artificial Intelligence. 36(8). 1875–1884. 4 indexed citations
6.
Nazarian, Scarlet, et al.. (2023). A YOLOv5-based network for the detection of a diffuse reflectance spectroscopy probe to aid surgical guidance in gastrointestinal cancer surgery. International Journal of Computer Assisted Radiology and Surgery. 19(1). 11–14. 2 indexed citations
7.
Kawka, Michal, Tamara Gall, Fiona Hand, et al.. (2023). The influence of procedural volume on short-term outcomes for robotic pancreatoduodenectomy—a cohort study and a learning curve analysis. Surgical Endoscopy. 37(6). 4719–4727. 6 indexed citations
8.
Nazarian, Scarlet, et al.. (2022). Does computer-aided diagnostic endoscopy improve the detection of commonly missed polyps? A meta-analysis. Clinical Endoscopy. 55(3). 355–364. 9 indexed citations
9.
Lam, Kyle, Scarlet Nazarian, Sherif Hakky, et al.. (2022). Patient perspectives on surgeon-specific outcome reports in bariatric surgery. Surgery for Obesity and Related Diseases. 18(6). 704–713. 1 indexed citations
10.
Nazarian, Scarlet, et al.. (2022). A case for improved assessment of gut permeability: a meta-analysis quantifying the lactulose:mannitol ratio in coeliac and Crohn’s disease. BMC Gastroenterology. 22(1). 16–16. 22 indexed citations
11.
Nazarian, Scarlet, Michal Kawka, Ara Darzi, et al.. (2022). Real-time Tracking and Classification of Tumor and Nontumor Tissue in Upper Gastrointestinal Cancers Using Diffuse Reflectance Spectroscopy for Resection Margin Assessment. JAMA Surgery. 157(11). e223899–e223899. 13 indexed citations
12.
Nazarian, Scarlet, et al.. (2022). 145: THE USE OF MACHINE LEARNING FOR REAL-TIME DETECTION OF OESOPHAGEAL AND GASTRIC CANCER BASED ON DIFFUSE REFLECTANCE SPECTROSCOPY: A VALIDATION STUDY. Diseases of the Esophagus. 35(Supplement_1). 1 indexed citations
13.
Nazarian, Scarlet, Ben Glover, Hutan Ashrafian, Ara Darzi, & Julian Teare. (2021). Diagnostic Accuracy of Artificial Intelligence and Computer-Aided Diagnosis for the Detection and Characterization of Colorectal Polyps: Systematic Review and Meta-analysis. Journal of Medical Internet Research. 23(7). e27370–e27370. 52 indexed citations
14.
Nazarian, Scarlet, et al.. (2021). Abdominal Drainage in Complicated Appendicectomy - Resources Down the Drain?. SHILAP Revista de lepidopterología. 18(4). 672–675. 2 indexed citations
15.
16.
Nazarian, Scarlet, Kyle Lam, Ara Darzi, & Hutan Ashrafian. (2021). Diagnostic Accuracy of Smartwatches for the Detection of Cardiac Arrhythmia: Systematic Review and Meta-analysis. Journal of Medical Internet Research. 23(8). e28974–e28974. 55 indexed citations
17.
Nazarian, Scarlet, et al.. (2016). Effect of Pneumoperitoneum on Renal Function and Physiology in Patients Undergoing Robotic Renal Surgery. Current Urology. 9(1). 1–4. 38 indexed citations
18.
Nazarian, Scarlet, et al.. (2015). Difficult diagnosis: internal herniation of the terminal ileum through the foramen of Winslow into the lesser sac. BMJ Case Reports. 2015. bcr2015212269–bcr2015212269. 4 indexed citations
19.
Nazarian, Scarlet, et al.. (2015). Diagnosis of an obturator hernia by CT. BMJ Case Reports. 2015. bcr2015212239–bcr2015212239. 3 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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