Rinat Masamed

536 total citations
23 papers, 350 citations indexed

About

Rinat Masamed is a scholar working on Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism and Epidemiology. According to data from OpenAlex, Rinat Masamed has authored 23 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Endocrinology, Diabetes and Metabolism and 6 papers in Epidemiology. Recurrent topics in Rinat Masamed's work include Thyroid Cancer Diagnosis and Treatment (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Pregnancy and preeclampsia studies (4 papers). Rinat Masamed is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Pregnancy and preeclampsia studies (4 papers). Rinat Masamed collaborates with scholars based in United States, Australia and Israel. Rinat Masamed's co-authors include Andrei Iagaru, Peter S. Conti, Peter Singer, Lawrence R. Menendez, Gasser M. Hathout, Maitraya Patel, Teresa Chanlaw, Sherin U. Devaskar, Carla Janzen and Kyunghyun Sung and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Stroke and American Journal of Roentgenology.

In The Last Decade

Rinat Masamed

23 papers receiving 341 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rinat Masamed United States 11 123 94 91 68 68 23 350
Sarah K. Oh United States 9 31 0.3× 59 0.6× 248 2.7× 127 1.9× 21 0.3× 14 487
Abdülkadir Reis Türkiye 10 28 0.2× 46 0.5× 214 2.4× 110 1.6× 16 0.2× 27 419
S.B. Gaikwad India 15 120 1.0× 66 0.7× 16 0.2× 218 3.2× 46 0.7× 36 517
Yasemin Kayadibi Türkiye 10 65 0.5× 73 0.8× 152 1.7× 37 0.5× 5 0.1× 42 347
Robert J. Bohinski United States 13 172 1.4× 87 0.9× 123 1.4× 209 3.1× 146 2.1× 21 573
Ana C. Almeida Portugal 9 84 0.7× 42 0.4× 103 1.1× 47 0.7× 6 0.1× 26 294
Berhan Genç Türkiye 12 44 0.4× 68 0.7× 72 0.8× 94 1.4× 3 0.0× 50 357
Serhan Tanju Türkiye 13 63 0.5× 183 1.9× 26 0.3× 181 2.7× 39 0.6× 61 485
Zia I. Carrim United Kingdom 11 48 0.4× 94 1.0× 87 1.0× 116 1.7× 45 0.7× 31 508
S-K Kwok South Korea 14 35 0.3× 32 0.3× 20 0.2× 30 0.4× 12 0.2× 22 502

Countries citing papers authored by Rinat Masamed

Since Specialization
Citations

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

Fields of papers citing papers by Rinat Masamed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rinat Masamed

This figure shows the co-authorship network connecting the top 25 collaborators of Rinat Masamed. A scholar is included among the top collaborators of Rinat Masamed 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 Rinat Masamed. Rinat Masamed 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.
2.
Chen, Joseph S., et al.. (2024). A multitask approach for automated detection and segmentation of thyroid nodules in ultrasound images. Computers in Biology and Medicine. 170. 107974–107974. 5 indexed citations
3.
Lee, Denise, Masha J. Livhits, James X. Wu, et al.. (2024). From Bench-to-Bedside: How Artificial Intelligence is Changing Thyroid Nodule Diagnostics, a Systematic Review. The Journal of Clinical Endocrinology & Metabolism. 109(7). 1684–1693. 5 indexed citations
4.
Patel, Maitraya, et al.. (2023). Contrast-enhanced ultrasound for abdominal image-guided procedures. Abdominal Radiology. 48(4). 1438–1453. 5 indexed citations
5.
Zhuang, Luoting, et al.. (2023). Patient-level thyroid cancer classification using attention multiple instance learning on fused multi-scale ultrasound image features.. PubMed. 2023. 1344–1353. 1 indexed citations
6.
Patel, Maitraya, Katrina Beckett, Michael Douek, et al.. (2022). The Effect Modification of Ultrasound Risk Classification on Molecular Testing in Predicting the Risk of Malignancy in Cytologically Indeterminate Thyroid Nodules. Thyroid. 32(8). 905–916. 14 indexed citations
7.
8.
Chow, Lucy, et al.. (2021). Gynecologic tumor board: a radiologist’s guide to vulvar and vaginal malignancies. Abdominal Radiology. 46(12). 5669–5686. 18 indexed citations
9.
Beckett, Katrina, Michael Douek, Rinat Masamed, et al.. (2020). Diagnostic Value of Molecular Testing in Sonographically Suspicious Thyroid Nodules. Journal of the Endocrine Society. 4(9). bvaa081–bvaa081. 8 indexed citations
10.
Hanley, Joseph, Jianbang Chiang, Justin P. McWilliams, et al.. (2020). 3:09 PM Abstract No. 200 Comparison of bleeding complications using two techniques for renal transplant biopsy. Journal of Vascular and Interventional Radiology. 31(3). S91–S92. 1 indexed citations
11.
Chung, Stephanie, et al.. (2020). BRCAand Beyond: Comprehensive Image-rich Review of Hereditary Breast and Gynecologic Cancer Syndromes. Radiographics. 40(2). 306–325. 13 indexed citations
12.
Liu, Dapeng, Xingfeng Shao, Teresa Chanlaw, et al.. (2019). Human Placenta Blood Flow During Early Gestation With Pseudocontinuous Arterial Spin Labeling MRI. Journal of Magnetic Resonance Imaging. 51(4). 1247–1257. 24 indexed citations
13.
Histed, Stephanie, et al.. (2016). Ectopic Pregnancy: A Trainee’s Guide to Making the Right Call: Women’s Imaging. Radiographics. 36(7). 2236–2237. 2 indexed citations
14.
Masamed, Rinat, et al.. (2009). Cerebral toxoplasmosis: case review and description of a new imaging sign. Clinical Radiology. 64(5). 560–563. 37 indexed citations
15.
Iagaru, Andrei, Rinat Masamed, Sant P. Chawla, et al.. (2008). F-18 FDG PET and PET/CT Evaluation of Response to Chemotherapy in Bone and Soft Tissue Sarcomas. Clinical Nuclear Medicine. 33(1). 8–13. 31 indexed citations
16.
Masamed, Rinat, Thomas J. Learch, & Lawrence R. Menendez. (2008). En Bloc Shoulder Resection with Total Shoulder Prosthetic Replacement: Indications and Imaging Findings. American Journal of Roentgenology. 191(2). 482–489. 10 indexed citations
17.
Iagaru, Andrei, et al.. (2007). Breast MRI and18F FDG PET/CT in the management of breast cancer. Annals of Nuclear Medicine. 21(1). 33–38. 29 indexed citations
18.
Iagaru, Andrei, Rinat Masamed, Peter Singer, & Peter S. Conti. (2006). Detection of Occult Medullary Thyroid Cancer Recurrence with 2-Deoxy-2-[F-18]fluoro-d-glucose-PET and PET/CT. Molecular Imaging and Biology. 9(2). 72–77. 32 indexed citations
19.
Masamed, Rinat, Thomas J. Learch, & Lawrence R. Menendez. (2006). 210 IMAGING FINDINGS IN LIMB-SPARING SURGERY AND ENDOPROSTHETIC PLACEMENT FOR SHOULDER GIRDLE NEOPLASIA.. Journal of Investigative Medicine. 54(1). S116.2–S116. 1 indexed citations
20.
Iagaru, Andrei, Rinat Masamed, Peter Singer, & Peter S. Conti. (2006). 2-Deoxy-2-[18F]fluoro-d-glucose-Positron Emission Tomography and Positron Emission Tomography/Computed Tomography Diagnosis of Patients with Recurrent Papillary Thyroid Cancer. Molecular Imaging and Biology. 8(5). 309–314. 15 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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