Mohamed Elbanan

431 total citations
15 papers, 258 citations indexed

About

Mohamed Elbanan is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Hepatology. According to data from OpenAlex, Mohamed Elbanan has authored 15 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 6 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Hepatology. Recurrent topics in Mohamed Elbanan's work include Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Cancer, Hypoxia, and Metabolism (4 papers). Mohamed Elbanan is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Cancer, Hypoxia, and Metabolism (4 papers). Mohamed Elbanan collaborates with scholars based in United States, Germany and Canada. Mohamed Elbanan's co-authors include Rivka R. Colen, Pascal O. Zinn, Khaled M. Elsayes, Ahmed M. Amer, Moran Amit, Thinh Vu, Steven G. Waguespack, Maria E. Cabanillas, Elmer Santos and Ramona Dadu and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Mohamed Elbanan

13 papers receiving 253 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mohamed Elbanan United States	9	103	87	63	48	47	15	258
Claudio Losio Italy	10	79 0.8×	105 1.2×	191 3.0×	47 1.0×	59 1.3×	15	343
Magdalena Bogdańska Poland	8	24 0.2×	57 0.7×	31 0.5×	40 0.8×	51 1.1×	24	312
Sotaro Otake Japan	12	22 0.2×	91 1.0×	68 1.1×	140 2.9×	104 2.2×	17	354
Roberto Piciotti Italy	9	29 0.3×	30 0.3×	41 0.7×	50 1.0×	128 2.7×	15	317
Sang Yu Nam South Korea	10	128 1.2×	155 1.8×	129 2.0×	28 0.6×	39 0.8×	18	332
Danila Serpico Italy	5	31 0.3×	81 0.9×	58 0.9×	61 1.3×	78 1.7×	9	407
Maomei Ruan China	12	197 1.9×	168 1.9×	60 1.0×	181 3.8×	69 1.5×	26	429
Thais Maloberti Italy	6	12 0.1×	33 0.4×	32 0.5×	31 0.6×	62 1.3×	40	164
Yan Si China	11	125 1.2×	106 1.2×	27 0.4×	77 1.6×	56 1.2×	27	452
Wooyul Paik South Korea	11	144 1.4×	188 2.2×	110 1.7×	27 0.6×	52 1.1×	21	330

Countries citing papers authored by Mohamed Elbanan

Since Specialization

Citations

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

Fields of papers citing papers by Mohamed Elbanan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohamed Elbanan

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

All Works

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15 of 15 papers shown

Thimmappa, Nanda Deepa, et al.. (2025). Magnetic resonance urography (MRU): technique mastery and illustrative case reviews. Abdominal Radiology. 51(2). 889–900.

Zeevi, Tal, Stefan P. Haider, Mohamed Elbanan, et al.. (2023). Predicting tumor recurrence on baseline MR imaging in patients with early-stage hepatocellular carcinoma using deep machine learning. Scientific Reports. 13(1). 7579–7579. 13 indexed citations

Liu, Xiaoyang, Mohamed Elbanan, Antonio Luna, et al.. (2022). Radiomics in Abdominopelvic Solid-Organ Oncologic Imaging: Current Status. American Journal of Roentgenology. 219(6). 985–995. 15 indexed citations

Kaseb, Ahmed O., S. Cheenu Kappadath, Sunyoung S. Lee, et al.. (2021). A Prospective Phase II Study of Safety and Efficacy of Sorafenib Followed by 90Y Glass Microspheres for Patients with Advanced or Metastatic Hepatocellular Carcinoma. SHILAP Revista de lepidopterología. Volume 8. 1129–1145. 10 indexed citations

Chapiro, Julius, Tal Zeevi, Mohamed Elbanan, et al.. (2021). Thermal ablation alone vs thermal ablation combined with transarterial chemoembolization for patients with small (<3 cm) hepatocellular carcinoma. Clinical Imaging. 76. 123–129. 4 indexed citations

Batra, Ramesh, Tal Zeevi, Stefan P. Haider, et al.. (2020). PROOF-OF-CONCEPT USE OF MACHINE LEARNING TO PREDICT TUMOR RECURRENCE OF EARLY-STAGE HEPATOCELLULAR CARCINOMA BEFORE THERAPY USING BASELINE MAGNETIC RESONANCE IMAGING. Transplantation. 104(S3). S43–S44. 1 indexed citations

Elsherif, Sherif, Sanaz Javadi, Katherine J. Blair, et al.. (2020). Preresection Radiologic Assessment and Imaging Features of 156 Pathologically Proven Adrenal Adenomas. Journal of Computer Assisted Tomography. 44(3). 419–425. 1 indexed citations

Elbanan, Mohamed, Sanaz Javadi, Dhakshinamoorthy Ganeshan, et al.. (2019). Adrenal cortical adenoma: current update, imaging features, atypical findings, and mimics. Abdominal Radiology. 45(4). 905–916. 18 indexed citations

Sharma, Pranav, et al.. (2019). Understanding Idiopathic Spinal Cord Herniation – A Comprehensive Review of Imaging and Literature. Journal of Clinical Imaging Science. 9. 22–22. 7 indexed citations

10.

Waguespack, Steven G., Maria E. Cabanillas, Mohamed Elbanan, et al.. (2018). Targeted Therapy in Advanced Thyroid Cancer to Resensitize Tumors to Radioactive Iodine. The Journal of Clinical Endocrinology & Metabolism. 103(10). 3698–3705. 88 indexed citations

11.

Rogers, Jane E., Asif Rashid, Khaled M. Elsayes, et al.. (2017). Systemic therapy for unresectable, mixed hepatocellular-cholangiocarcinoma: treatment of a rare malignancy. Journal of Gastrointestinal Oncology. 8(2). 347–351. 34 indexed citations

12.

Laçin, Şahin, Reham Abdel‐Wahab, Mohamed Elbanan, et al.. (2016). Impact of sorafenib treatment on portal hypertension in hepatocellular carcinoma patients.. Journal of Clinical Oncology. 34(15_suppl). e15637–e15637.

13.

Elbanan, Mohamed, et al.. (2015). Imaging Genomics of Glioblastoma. Topics in Magnetic Resonance Imaging. 24(3). 155–163. 16 indexed citations

14.

Zinn, Pascal O., Zeeshan Mahmood, Mohamed Elbanan, & Rivka R. Colen. (2015). Imaging Genomics in Gliomas. The Cancer Journal. 21(3). 225–234. 16 indexed citations

15.

Elbanan, Mohamed, Ahmed M. Amer, Pascal O. Zinn, & Rivka R. Colen. (2014). Imaging Genomics of Glioblastoma. Neuroimaging Clinics of North America. 25(1). 141–153. 35 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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