Naira Muradyan

1.2k total citations
21 papers, 871 citations indexed

About

Naira Muradyan is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, Naira Muradyan has authored 21 papers receiving a total of 871 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Pulmonary and Respiratory Medicine and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Naira Muradyan's work include MRI in cancer diagnosis (13 papers), Prostate Cancer Diagnosis and Treatment (8 papers) and Advanced MRI Techniques and Applications (5 papers). Naira Muradyan is often cited by papers focused on MRI in cancer diagnosis (13 papers), Prostate Cancer Diagnosis and Treatment (8 papers) and Advanced MRI Techniques and Applications (5 papers). Naira Muradyan collaborates with scholars based in United States, France and Bulgaria. Naira Muradyan's co-authors include F. Cornud, Frédéric Beuvon, Nicolas Barry Delongchamps, Barış Türkbey, Peter L. Choyke, Michaël Peyromaure, A. Schull, T Flam, Marc Zerbib and Masoom A. Haider and has published in prestigious journals such as The Journal of Urology, International Journal of Radiation Oncology*Biology*Physics and American Journal of Roentgenology.

In The Last Decade

Naira Muradyan

20 papers receiving 864 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Naira Muradyan United States 14 613 451 211 75 60 21 871
Hayet Amalou United States 9 557 0.9× 286 0.6× 190 0.9× 94 1.3× 102 1.7× 17 770
Christine Schmid‐Tannwald Germany 20 585 1.0× 922 2.0× 102 0.5× 125 1.7× 56 0.9× 52 1.4k
Edward Melian United States 15 530 0.9× 347 0.8× 62 0.3× 228 3.0× 109 1.8× 52 975
L. Vanuytsel Belgium 16 624 1.0× 522 1.2× 48 0.2× 119 1.6× 86 1.4× 31 1.2k
Laura Happersett United States 22 1.8k 2.9× 847 1.9× 87 0.4× 238 3.2× 254 4.2× 64 2.3k
Sandeep Sankineni United States 19 1.1k 1.7× 636 1.4× 338 1.6× 85 1.1× 80 1.3× 33 1.3k
Dagane Daar United States 12 1.0k 1.7× 607 1.3× 326 1.5× 85 1.1× 117 1.9× 16 1.2k
D. Bruce Sodee United States 14 330 0.5× 263 0.6× 56 0.3× 44 0.6× 58 1.0× 33 563
Zachary Seymour United States 15 478 0.8× 108 0.2× 110 0.5× 86 1.1× 20 0.3× 35 794
Esther Wit Netherlands 18 603 1.0× 175 0.4× 256 1.2× 287 3.8× 79 1.3× 45 875

Countries citing papers authored by Naira Muradyan

Since Specialization
Citations

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

Fields of papers citing papers by Naira Muradyan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naira Muradyan

This figure shows the co-authorship network connecting the top 25 collaborators of Naira Muradyan. A scholar is included among the top collaborators of Naira Muradyan 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 Naira Muradyan. Naira Muradyan 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.
Muradyan, Naira, et al.. (2022). Socio-Economic Burden of Myasthenia Gravis: A Cost-of-Illness Study in Bulgaria. Frontiers in Public Health. 10. 822909–822909. 13 indexed citations
2.
Muradyan, Naira, Joanna H. Shih, Marcelino Bernardo, et al.. (2016). Differentiating Transition Zone Cancers From Benign Prostatic Hyperplasia by Quantitative Multiparametric Magnetic Resonance Imaging. Journal of Computer Assisted Tomography. 40(2). 218–224. 13 indexed citations
3.
Kapur, Payal, Qing Yuan, Yin Xi, et al.. (2015). Tumor Vascularity in Renal Masses: Correlation of Arterial Spin-Labeled and Dynamic Contrast-Enhanced Magnetic Resonance Imaging Assessments. Clinical Genitourinary Cancer. 14(1). e25–e36. 41 indexed citations
4.
Ben-David, Eliel, Nader Sadeghi, M. Katayoon Rezaei, et al.. (2015). Semiquantitative and Quantitative Analyses of Dynamic Contrast-Enhanced Magnetic Resonance Imaging of Thyroid Nodules. Journal of Computer Assisted Tomography. 39(6). 855–859. 8 indexed citations
5.
Yoo, David S., et al.. (2014). Comprehensive Population-Averaged Arterial Input Function for Dynamic Contrast–Enhanced vMagnetic Resonance Imaging of Head and Neck Cancer. International Journal of Radiation Oncology*Biology*Physics. 89(3). 658–665. 11 indexed citations
7.
Türkbey, Barış, Sergei V. Fotin, Robert J. Huang, et al.. (2013). Fully Automated Prostate Segmentation on MRI: Comparison With Manual Segmentation Methods and Specimen Volumes. American Journal of Roentgenology. 201(5). W720–W729. 51 indexed citations
8.
Yin, Yin, Sergei V. Fotin, Senthil Periaswamy, et al.. (2012). Fully automated prostate segmentation in 3D MR based on normalized gradient fields cross-correlation initialization and LOGISMOS refinement. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 13 indexed citations
9.
Kim, AeRang, Eva Dombi, Elizabeth Fox, et al.. (2012). Phase I trial and pharmacokinetic study of sorafenib in children with neurofibromatosis type I and plexiform neurofibromas. Pediatric Blood & Cancer. 60(3). 396–401. 55 indexed citations
10.
Bour, Lo J., A. Schull, Nicolas Barry Delongchamps, et al.. (2012). Multiparametric MRI features of granulomatous prostatitis and tubercular prostate abscess. Diagnostic and Interventional Imaging. 94(1). 84–90. 51 indexed citations
11.
Muradyan, Naira, et al.. (2012). SU‐D‐BRB‐06: Comprehensive Population‐Averaged Arterial Input Function (AIF) for DCE‐MRI of Head and Neck Cancer. Medical Physics. 39(6Part3). 3615–3616. 3 indexed citations
12.
Fotin, Sergei V., Yin Yin, Senthil Periaswamy, et al.. (2012). Normalized gradient fields cross-correlation for automated detection of prostate in magnetic resonance images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8314. 83140V–83140V. 4 indexed citations
13.
Delongchamps, Nicolas Barry, Michaël Peyromaure, A. Schull, et al.. (2012). Prebiopsy Magnetic Resonance Imaging and Prostate Cancer Detection: Comparison of Random and Targeted Biopsies. The Journal of Urology. 189(2). 493–499. 208 indexed citations
14.
Verma, Sadhna, Barış Türkbey, Naira Muradyan, et al.. (2012). Overview of Dynamic Contrast-Enhanced MRI in Prostate Cancer Diagnosis and Management. American Journal of Roentgenology. 198(6). 1277–1288. 218 indexed citations
15.
Craciunescu, Oana, David S. Yoo, Naira Muradyan, et al.. (2011). Dynamic Contrast-Enhanced MRI in Head-and-Neck Cancer: The Impact of Region of Interest Selection on the Intra- and Interpatient Variability of Pharmacokinetic Parameters. International Journal of Radiation Oncology*Biology*Physics. 82(3). e345–e350. 19 indexed citations
16.
Low, Russell N., Donald B. Fuller, & Naira Muradyan. (2011). Dynamic Gadolinium-Enhanced Perfusion MRI of Prostate Cancer: Assessment of Response to Hypofractionated Robotic Stereotactic Body Radiation Therapy. American Journal of Roentgenology. 197(4). 907–915. 20 indexed citations
17.
Delongchamps, Nicolas Barry, Frédéric Beuvon, D. Eiss, et al.. (2011). Multiparametric MRI is helpful to predict tumor focality, stage, and size in patients diagnosed with unilateral low-risk prostate cancer. Prostate Cancer and Prostatic Diseases. 14(3). 232–237. 78 indexed citations
18.
Cornud, F., Nicolas Barry Delongchamps, Pierre Mozer, et al.. (2011). Value of Multiparametric MRI in the Work-up of Prostate Cancer. Current Urology Reports. 13(1). 82–92. 27 indexed citations
19.
Muradyan, Naira, et al.. (2011). DCEMRI: a review and applications in veterinary oncology. Veterinary and Comparative Oncology. 11(2). 87–100. 15 indexed citations
20.
Craciunescu, Oana, David M. Brizel, David S. Yoo, et al.. (2010). Dynamic contrast enhanced–MRI in head and neck cancer patients: Variability of the precontrast longitudinal relaxation time. Medical Physics. 37(6Part1). 2683–2692. 11 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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