Amer Alaref

438 total citations
25 papers, 259 citations indexed

About

Amer Alaref is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Amer Alaref has authored 25 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Pulmonary and Respiratory Medicine and 5 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Amer Alaref's work include Radiomics and Machine Learning in Medical Imaging (6 papers), Kidney Stones and Urolithiasis Treatments (6 papers) and Pediatric Urology and Nephrology Studies (5 papers). Amer Alaref is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), Kidney Stones and Urolithiasis Treatments (6 papers) and Pediatric Urology and Nephrology Studies (5 papers). Amer Alaref collaborates with scholars based in Canada, Egypt and United States. Amer Alaref's co-authors include Ali Sabri, Alexander Wong, Nusrat Jahan, Mohammad Javad Shafiee, Christian B. van der Pol, Robert Lisbona, Hayden Gunraj, Caroline Reinhold, Kazuro Sugimura and Yoshiko Ueno and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Urology.

In The Last Decade

Amer Alaref

23 papers receiving 257 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amer Alaref Canada 10 122 51 44 37 28 25 259
Ying Zou China 13 122 1.0× 32 0.6× 34 0.8× 39 1.1× 28 1.0× 39 419
González-López Lucía Spain 8 57 0.5× 21 0.4× 131 3.0× 40 1.1× 18 0.6× 18 302
Gang Huang China 11 115 0.9× 52 1.0× 15 0.3× 56 1.5× 5 0.2× 29 296
Rena Ohno Japan 11 69 0.6× 76 1.5× 19 0.4× 54 1.5× 10 0.4× 35 367
Yakui Mou China 10 76 0.6× 40 0.8× 14 0.3× 58 1.6× 17 0.6× 58 289
Frank Thiele Germany 14 288 2.4× 132 2.6× 63 1.4× 18 0.5× 134 4.8× 27 586
Yuefu Zhan China 11 87 0.7× 39 0.8× 63 1.4× 32 0.9× 35 1.3× 39 291
Kari S. Wagner‐Larsen Norway 9 154 1.3× 34 0.7× 31 0.7× 13 0.4× 50 1.8× 17 297
Wonho Lee South Korea 5 96 0.8× 36 0.7× 29 0.7× 6 0.2× 39 1.4× 14 367

Countries citing papers authored by Amer Alaref

Since Specialization
Citations

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

Fields of papers citing papers by Amer Alaref

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amer Alaref

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

All Works

20 of 20 papers shown
1.
Abazid, Rami M., Mohamed M. Ibrahim, Amer Alaref, et al.. (2024). Use of downstream stress imaging tests for risk stratification of patients presenting to the emergency department with chest pain and low HEART score. Open Heart. 11(2). e002735–e002735. 1 indexed citations
2.
Elmansy, Hazem, et al.. (2024). Mini‐percutaneous nephrolithotomy vs flexible ureteroscopy for 1–2 cm lower pole renal stones: a randomised controlled trial. British Journal of Urology. 135(3). 437–445. 3 indexed citations
3.
Zakaria, Ahmed S., et al.. (2024). Safety and efficacy of ambulatory tubeless mini-percutaneous nephrolithotomy in the management of 10–25-mm renal calculi. Canadian Urological Association Journal. 18(10). 341–347. 1 indexed citations
4.
Alaref, Amer, et al.. (2024). Impact of pre-operative abdominal MRI on survival for patients with resected pancreatic carcinoma: a population-based study. The Lancet Regional Health - Americas. 35. 100809–100809.
5.
Alaref, Amer, et al.. (2024). Factors predicting stone-free rates after retrograde intrarenal surgery for lower pole kidney stones. Canadian Urological Association Journal. 18(12). 399–404. 2 indexed citations
6.
7.
Noureldin, Yasser A., Ahmed S. Zakaria, Vahid Mehrnoush, et al.. (2022). Same-day trial of void and discharge following standard vs. MOSES holmium laser enucleation of the prostate: A single-center experience. Canadian Urological Association Journal. 17(1). E23–E28. 4 indexed citations
8.
Mago, Vijay, et al.. (2022). Developing a machine learning model to predict patient need for computed tomography imaging in the emergency department. PLoS ONE. 17(12). e0278229–e0278229. 7 indexed citations
9.
Dhindsa, Kiret, Amer Alaref, Michael N. Patlas, et al.. (2022). Radiologist Productivity Analytics: Factors Impacting Abdominal Pelvic CT Exam Reporting Times. Journal of Digital Imaging. 35(2). 87–97. 2 indexed citations
10.
Gunraj, Hayden, et al.. (2022). MEDUSA: Multi-Scale Encoder-Decoder Self-Attention Deep Neural Network Architecture for Medical Image Analysis. Frontiers in Medicine. 8. 821120–821120. 11 indexed citations
11.
Wong, Alexander, et al.. (2022). TB-Net: A Tailored, Self-Attention Deep Convolutional Neural Network Design for Detection of Tuberculosis Cases From Chest X-Ray Images. Frontiers in Artificial Intelligence. 5. 827299–827299. 26 indexed citations
12.
Chung, Audrey G., et al.. (2022). COVID-Net CXR-2: An Enhanced Deep Convolutional Neural Network Design for Detection of COVID-19 Cases From Chest X-ray Images. Frontiers in Medicine. 9. 861680–861680. 25 indexed citations
13.
Alaref, Amer, et al.. (2021). Magnetic Resonance Imaging Features in Different Types of Invasive Breast Cancer: A Systematic Review of the Literature. Cureus. 13(3). e13854–e13854. 14 indexed citations
14.
Alaref, Amer, et al.. (2021). A case of splenic artery aneurysm and rupture in a patient on a vascular endothelial growth factor inhibitor for renal cell carcinoma. Cancer Reports. 5(8). e1567–e1567. 2 indexed citations
15.
Kotb, Ahmed, et al.. (2021). Bilateral Single-Stage Nephrectomy for Synchronous Bilateral Renal Cell Carcinoma. SHILAP Revista de lepidopterología. 8(1). 7–11.
16.
Alaref, Amer, et al.. (2020). Diabetes Mellitus and Parkinson's Disease: Shared Pathophysiological Links and Possible Therapeutic Implications. Cureus. 12(8). e9853–e9853. 55 indexed citations
17.
Alaref, Amer, et al.. (2020). Patchy Vasoconstriction Versus Inflammation: A Debate in the Pathogenesis of High Altitude Pulmonary Edema. Cureus. 12(9). e10371–e10371. 16 indexed citations
18.
Alaref, Amer, et al.. (2020). Safety and Efficacy of Stem Cell Therapy in Patients With Ischemic Stroke. Cureus. 12(8). e9917–e9917. 9 indexed citations
19.
Patlas, Michael N., et al.. (2020). Effect of COVID-19 on computed tomography usage and critical test results in the emergency department: an observational study. CMAJ Open. 8(3). E568–E576. 7 indexed citations
20.
Dhindsa, Kiret, et al.. (2020). Pancreas adenocarcinoma CT texture analysis: comparison of 3D and 2D tumor segmentation techniques. Abdominal Radiology. 46(3). 1027–1033. 10 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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