Ashkan A. Malayeri

5.4k total citations
107 papers, 2.7k citations indexed

About

Ashkan A. Malayeri is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Ashkan A. Malayeri has authored 107 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Radiology, Nuclear Medicine and Imaging, 46 papers in Pulmonary and Respiratory Medicine and 21 papers in Surgery. Recurrent topics in Ashkan A. Malayeri's work include Renal cell carcinoma treatment (34 papers), MRI in cancer diagnosis (21 papers) and Radiomics and Machine Learning in Medical Imaging (19 papers). Ashkan A. Malayeri is often cited by papers focused on Renal cell carcinoma treatment (34 papers), MRI in cancer diagnosis (21 papers) and Radiomics and Machine Learning in Medical Imaging (19 papers). Ashkan A. Malayeri collaborates with scholars based in United States, Germany and Iran. Ashkan A. Malayeri's co-authors include David A. Bluemke, Mark A. Ahlman, Elizabeth C. Jones, A. Cahid Civelek, João A.C. Lima, Peter C. Grayson, Katarzyna J. Macura, Atif Zaheer, Rolf Symons and Elaine Novakovich and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Ashkan A. Malayeri

101 papers receiving 2.7k citations

Peers

Ashkan A. Malayeri
Mark A. Ahlman United States
Ashkan A. Malayeri
Citations per year, relative to Ashkan A. Malayeri Ashkan A. Malayeri (= 1×) peers Mark A. Ahlman

Countries citing papers authored by Ashkan A. Malayeri

Since Specialization
Citations

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

Fields of papers citing papers by Ashkan A. Malayeri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ashkan A. Malayeri. 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 Ashkan A. Malayeri. The network helps show where Ashkan A. Malayeri may publish in the future.

Co-authorship network of co-authors of Ashkan A. Malayeri

This figure shows the co-authorship network connecting the top 25 collaborators of Ashkan A. Malayeri. A scholar is included among the top collaborators of Ashkan A. Malayeri 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 Ashkan A. Malayeri. Ashkan A. Malayeri 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.
Vocke, Cathy D., C. Ricketts, Alexandra Lebensohn, et al.. (2025). Multigenerational VHL family characterized by pathogenic germline ELOC variant: Response to belzutifan. Urologic Oncology Seminars and Original Investigations. 44(2). 120.e21–120.e27.
2.
Thompson, M.B., et al.. (2024). Characterization of sarcoma topography in Li-Fraumeni syndrome. Frontiers in Oncology. 14. 1415636–1415636. 1 indexed citations
3.
Homayounieh, Fatemeh, Nikhil Gopal, Pooyan Sahbaee, et al.. (2024). A Prospective Study of the Diagnostic Performance of Photon-Counting CT Compared With MRI in the Characterization of Renal Masses. Investigative Radiology. 59(11). 774–781. 4 indexed citations
4.
Gopal, Nikhil, Pouria Yazdian Anari, Paul Wakim, et al.. (2023). The kidney imaging surveillance scoring system (KISSS): using qualitative MRI features to predict growth rate of renal tumors in patients with von-Hippel Lindau (VHL) syndrome. Abdominal Radiology. 49(2). 542–550. 2 indexed citations
5.
Wen, Han, J.A. Huapaya, S.M. Kanth, et al.. (2023). Quantitative CT Metrics Associated with Variability in the Diffusion Capacity of the Lung of Post-COVID-19 Patients with Minimal Residual Lung Lesions. Journal of Imaging. 9(8). 150–150. 5 indexed citations
6.
Firouzabadi, Fatemeh Dehghani, Nikhil Gopal, A Hasani, et al.. (2023). CT radiomics for differentiating fat poor angiomyolipoma from clear cell renal cell carcinoma: Systematic review and meta-analysis. PLoS ONE. 18(7). e0287299–e0287299. 6 indexed citations
7.
Gopal, Nikhil, Fatemeh Dehghani Firouzabadi, Fatemeh Homayounieh, et al.. (2023). Preoperative Renal Parenchyma Volume as a Predictor of Kidney Function Following Nephrectomy of Complex Renal Masses. European Urology Open Science. 57. 66–73. 1 indexed citations
8.
Anari, Pouria Yazdian, Nathan Lay, Nikhil Gopal, et al.. (2022). An MRI-based radiomics model to predict clear cell renal cell carcinoma growth rate classes in patients with von Hippel-Lindau syndrome. Abdominal Radiology. 47(10). 3554–3562. 10 indexed citations
9.
Nikpanah, Moozhan, Ziyue Xu, Dakai Jin, et al.. (2021). A deep-learning based artificial intelligence (AI) approach for differentiation of clear cell renal cell carcinoma from oncocytoma on multi-phasic MRI. Clinical Imaging. 77. 291–298. 31 indexed citations
10.
Walker, Stephanie M., et al.. (2020). Update on Hereditary Renal Cancer and Imaging Implications. Radiologic Clinics of North America. 58(5). 951–963. 8 indexed citations
11.
Banerjee, Shubhasree, Mohammadhadi Bagheri, Veit Sandfort, et al.. (2018). Vascular calcification in patients with large-vessel vasculitis compared to patients with hyperlipidemia. Seminars in Arthritis and Rheumatism. 48(6). 1068–1073. 24 indexed citations
12.
Jha, Smita, Nicholas C. Laucis, Lauren Kim, et al.. (2018). CT analysis of anatomical distribution of melorheostosis challenges the sclerotome hypothesis. Bone. 117. 31–36. 15 indexed citations
13.
Malayeri, Ashkan A., Kristina M. Brooks, L. Henry Bryant, et al.. (2016). National Institutes of Health Perspective on Reports of Gadolinium Deposition in the Brain. Journal of the American College of Radiology. 13(3). 237–241. 85 indexed citations
14.
Pourmorteza, Amir, Rolf Symons, Veit Sandfort, et al.. (2016). Abdominal Imaging with Contrast-enhanced Photon-counting CT: First Human Experience. Radiology. 279(1). 239–245. 163 indexed citations
15.
Giles, Jon T., Ashkan A. Malayeri, Verônica Fernandes, et al.. (2010). Left ventricular structure and function in patients with rheumatoid arthritis, as assessed by cardiac magnetic resonance imaging. Arthritis & Rheumatism. 62(4). 940–951. 87 indexed citations
16.
Malayeri, Ashkan A., W. Craig Johnson, Robson Macedo, et al.. (2008). Cardiac cine MRI: Quantification of the relationship between fast gradient echo and steady‐state free precession for determination of myocardial mass and volumes. Journal of Magnetic Resonance Imaging. 28(1). 60–66. 59 indexed citations
17.
Malayeri, Ashkan A., et al.. (2006). Correlation between Student Evaluation of Teaching and Students’ Grades. Iranian Journal of Medical Education. 6(115). 51–57. 3 indexed citations
18.
Motlagh, Mohammad Esmaeil, et al.. (2005). Students’ Opinion on Factors Affecting Faculty Evaluation in Jondishapoor Medical University. Iranian Journal of Medical Education. 5(214). 101–110. 9 indexed citations
19.
Malayeri, Ashkan A., et al.. (2005). Sonographic Evaluation of Optic Nerve Diameter in Children With Raised Intracranial Pressure. Journal of Ultrasound in Medicine. 24(2). 143–147. 86 indexed citations
20.
Malayeri, Ashkan A., et al.. (2002). STUDENTS' VIEWS TOWARDS TEACHERS EVALUATION , AHWAZ MEDICAL SCIENCES UNIVERSITY. Iranian Journal of Medical Education. 2(28). 52–52. 1 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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