Ihab R. Kamel

27.3k total citations · 5 hit papers
413 papers, 17.6k citations indexed

About

Ihab R. Kamel is a scholar working on Hepatology, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ihab R. Kamel has authored 413 papers receiving a total of 17.6k indexed citations (citations by other indexed papers that have themselves been cited), including 153 papers in Hepatology, 152 papers in Surgery and 152 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ihab R. Kamel's work include Hepatocellular Carcinoma Treatment and Prognosis (131 papers), MRI in cancer diagnosis (101 papers) and Radiomics and Machine Learning in Medical Imaging (69 papers). Ihab R. Kamel is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (131 papers), MRI in cancer diagnosis (101 papers) and Radiomics and Machine Learning in Medical Imaging (69 papers). Ihab R. Kamel collaborates with scholars based in United States, China and Germany. Ihab R. Kamel's co-authors include Susanne Bonekamp, David A. Bluemke, Timothy M. Pawlik, Jean-François H. Geschwind, Jeanne M. Clark, Mariana Lazo, Rubén Hernáez, Eliseo Güallar, Frederick L. Brancati and Katarzyna J. Macura 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

Ihab R. Kamel

396 papers receiving 17.3k citations

Hit Papers

Diagnostic accuracy and reliability of ultrasonography fo... 2011 2026 2016 2021 2011 2013 2012 2023 2016 250 500 750 1000

Peers

Ihab R. Kamel
Ihab R. Kamel
Citations per year, relative to Ihab R. Kamel Ihab R. Kamel (= 1×) peers Carlo Catalano

Countries citing papers authored by Ihab R. Kamel

Since Specialization
Citations

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

Fields of papers citing papers by Ihab R. Kamel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ihab R. Kamel. 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 Ihab R. Kamel. The network helps show where Ihab R. Kamel may publish in the future.

Co-authorship network of co-authors of Ihab R. Kamel

This figure shows the co-authorship network connecting the top 25 collaborators of Ihab R. Kamel. A scholar is included among the top collaborators of Ihab R. Kamel 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 Ihab R. Kamel. Ihab R. Kamel 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.
Wu, Jing, Alireza Mohseni, Mihir Khunte, et al.. (2025). Federated Learning for Renal Tumor Segmentation and Classification on Multi‐Center MRI Dataset. Journal of Magnetic Resonance Imaging. 62(3). 814–824.
2.
Wang, Yuli, Sun Ho Ahn, Christopher J. Mullin, et al.. (2025). Abn-BLIP: Abnormality-aligned Bootstrapping Language-Image Pre-training for pulmonary embolism diagnosis and report generation from CTPA. Medical Image Analysis. 107(Pt A). 103786–103786.
3.
Nia, Iman Yazdani, et al.. (2024). State-of-the-art imaging of hepatocellular carcinoma. Journal of Gastrointestinal Surgery. 28(10). 1717–1725.
4.
Li, Yang, Jing Wu, Beiji Zou, et al.. (2024). Defining a radiomics feature selection method for predicting response to transarterial chemoembolization in hepatocellular carcinoma patients. SHILAP Revista de lepidopterología. 2(1). 100067–100067.
5.
Aziz, Hassan, et al.. (2024). Hepatic adenoma: evolution of a more individualized treatment approach. Journal of Gastrointestinal Surgery. 28(6). 975–982. 3 indexed citations
6.
Blackford, Amanda L., Marcia Irene Canto, Mohamad Dbouk, et al.. (2024). Pancreatic Cancer Surveillance and Survival of High-Risk Individuals. JAMA Oncology. 10(8). 1087–1087. 39 indexed citations
7.
Velikina, Julia, Lu Mao, Ruiyang Zhao, et al.. (2024). Multicenter, multivendor validation of liver quantitative susceptibility mapping in patients with iron overload at 1.5 T and 3 T. Magnetic Resonance in Medicine. 93(1). 330–340.
8.
Arif‐Tiwari, Hina, Kristin K. Porter, Ihab R. Kamel, et al.. (2023). ACR Appropriateness Criteria® Abnormal Liver Function Tests. Journal of the American College of Radiology. 20(11). S302–S314. 4 indexed citations
9.
Mirza‐Aghazadeh‐Attari, Mohammad, Alireza Mohseni, Seyedeh Panid Madani, et al.. (2023). Multimodality imaging of hepatocellular carcinoma and intrahepatic cholangiocarcinoma. Journal of Surgical Oncology. 128(4). 519–530. 1 indexed citations
10.
Towbin, Alexander J., Wen Ye, Suiyuan Huang, et al.. (2023). Prospective study of quantitative liver MRI in cystic fibrosis: feasibility and comparison to PUSH cohort ultrasound. Pediatric Radiology. 53(11). 2210–2220. 3 indexed citations
11.
Meng, Xiaoyan, Jiali Li, Yaqi Shen, et al.. (2023). Amide Proton Transfer-Weighted Imaging Combined with ZOOMit Diffusion Kurtosis Imaging in Predicting Lymph Node Metastasis of Cervical Cancer. Bioengineering. 10(3). 331–331. 4 indexed citations
12.
Chen, Krista Y., Aleksandra Popović, David Hsiehchen, et al.. (2022). Clinical Outcomes in Fibrolamellar Hepatocellular Carcinoma Treated with Immune Checkpoint Inhibitors. Cancers. 14(21). 5347–5347. 13 indexed citations
13.
Tichnell, Crystal, Weijia Wang, Brittney Murray, et al.. (2018). Performance of the 2015 International Task Force Consensus Statement Risk Stratification Algorithm for Implantable Cardioverter-Defibrillator Placement in Arrhythmogenic Right Ventricular Dysplasia/Cardiomyopathy. Circulation Arrhythmia and Electrophysiology. 11(2). e005593–e005593. 11 indexed citations
14.
Margonis, Georgios Antonios, Stefan Buettner, Nikolaos Andreatos, et al.. (2017). Preoperative bevacizumab and volumetric recovery after resection of colorectal liver metastases. Journal of Surgical Oncology. 116(8). 1150–1158. 7 indexed citations
15.
Riele, Anneline S.J.M. te, Aditya Bhonsale, Cynthia A. James, et al.. (2013). Incremental Value of Cardiac Magnetic Resonance Imaging in Arrhythmic Risk Stratification of Arrhythmogenic Right Ventricular Dysplasia/Cardiomyopathy–Associated Desmosomal Mutation Carriers. Journal of the American College of Cardiology. 62(19). 1761–1769. 83 indexed citations
16.
Kanda, Mitsuro, Spencer Knight, Mark Topazian, et al.. (2012). Mutant GNAS detected in duodenal collections of secretin-stimulated pancreatic juice indicates the presence or emergence of pancreatic cysts. Gut. 62(7). 1024–1033. 119 indexed citations
17.
Pawlik, Timothy M., Diane K. Reyes, David Cosgrove, et al.. (2011). Phase II Trial of Sorafenib Combined With Concurrent Transarterial Chemoembolization With Drug-Eluting Beads for Hepatocellular Carcinoma. Journal of Clinical Oncology. 29(30). 3960–3967. 247 indexed citations
18.
Lazo, Mariana, Rubén Hernáez, Susanne Bonekamp, et al.. (2011). Non-alcoholic fatty liver disease and mortality among US adults: prospective cohort study. BMJ. 343(nov18 2). d6891–d6891. 304 indexed citations
19.
Peng, Peter D., Mark G. van Vledder, Susan Tsai, et al.. (2011). Sarcopenia negatively impacts short-term outcomes in patients undergoing hepatic resection for colorectal liver metastasis. HPB. 13(7). 439–446. 338 indexed citations
20.
Jacobs, Michael A., Ronald Ouwerkerk, Ihab R. Kamel, et al.. (2009). Proton, diffusion‐weighted imaging, and sodium (23Na) MRI of uterine leiomyomata after MR‐guided high‐intensity focused ultrasound: A preliminary study. Journal of Magnetic Resonance Imaging. 29(3). 649–656. 33 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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