Laith R. Sultan

890 total citations
47 papers, 602 citations indexed

About

Laith R. Sultan is a scholar working on Radiology, Nuclear Medicine and Imaging, Epidemiology and Hepatology. According to data from OpenAlex, Laith R. Sultan has authored 47 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Epidemiology and 10 papers in Hepatology. Recurrent topics in Laith R. Sultan's work include Hepatocellular Carcinoma Treatment and Prognosis (9 papers), Ultrasound in Clinical Applications (7 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Laith R. Sultan is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (9 papers), Ultrasound in Clinical Applications (7 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Laith R. Sultan collaborates with scholars based in United States, United Kingdom and Iraq. Laith R. Sultan's co-authors include Chandra M. Sehgal, Theodore W. Cary, Susan M. Schultz, Jiawei Tian, Santosh S. Venkatesh, Tong Wu, A. K. W. Wood, Riyadh Lafta, Gilbert Burnham and Lisa P. Jones and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer and Scientific Reports.

In The Last Decade

Laith R. Sultan

40 papers receiving 581 citations

Peers

Laith R. Sultan
Lyndon Luk United States
Hye Young Jang South Korea
Bin Song China
Travis Browning United States
Jean‐Paul Salameh Canada
Aline Mähringer‐Kunz Germany
Sohail Contractor United States
Serena Carriero Italy
Mostafa Alabousi Canada
Elizabeth Le United Kingdom
Lyndon Luk United States
Laith R. Sultan
Citations per year, relative to Laith R. Sultan Laith R. Sultan (= 1×) peers Lyndon Luk

Countries citing papers authored by Laith R. Sultan

Since Specialization
Citations

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

Fields of papers citing papers by Laith R. Sultan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laith R. Sultan

This figure shows the co-authorship network connecting the top 25 collaborators of Laith R. Sultan. A scholar is included among the top collaborators of Laith R. Sultan 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 Laith R. Sultan. Laith R. Sultan 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.
Sultan, Laith R., Sudha A. Anupindi, Savvas Andronikou, et al.. (2025). ChatGPT-4–Driven Liver Ultrasound Radiomics Analysis: Diagnostic Value and Drawbacks in a Comparative Study. PubMed. 4. e68144–e68144.
3.
Freeman, Colbey W., et al.. (2024). Ultrasound innovations in abdominal radiology: techniques and clinical applications in pediatric imaging. Abdominal Radiology. 50(4). 1744–1762.
4.
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Habibollahi, Peiman, et al.. (2022). Hyperechoic Renal Masses: Differentiation of Angiomyolipomas from Renal Cell Carcinomas using Tumor Size and Ultrasound Radiomics. Ultrasound in Medicine & Biology. 48(5). 887–894. 4 indexed citations
6.
Sultan, Laith R., et al.. (2021). Quantitative pleural line characterization outperforms traditional lung texture ultrasound features in detection of COVID‐19. SHILAP Revista de lepidopterología. 2(2). e12418–e12418. 9 indexed citations
7.
Sultan, Laith R., et al.. (2021). Photoacoustic monitoring of oxygenation changes induced by therapeutic ultrasound in murine hepatocellular carcinoma. Scientific Reports. 11(1). 4100–4100. 19 indexed citations
8.
Sultan, Laith R., et al.. (2021). Hydralazine augmented ultrasound hyperthermia for the treatment of hepatocellular carcinoma. Scientific Reports. 11(1). 15553–15553. 5 indexed citations
9.
Lafta, Riyadh, et al.. (2020). Household recovery in Mosul one year after the defeat of ISIS. Conflict and Health. 14(1). 1–1. 43 indexed citations
10.
Sultan, Laith R. & Chandra M. Sehgal. (2020). A Review of Early Experience in Lung Ultrasound in the Diagnosis and Management of COVID-19. Ultrasound in Medicine & Biology. 46(9). 2530–2545. 60 indexed citations
11.
Sultan, Laith R., Stephen J. Hunt, Susan M. Schultz, et al.. (2019). B-mode ultrasound for the assessment of hepatic fibrosis: a quantitative multiparametric analysis for a radiomics approach. Scientific Reports. 9(1). 8708–8708. 24 indexed citations
12.
Wu, Tong, Laith R. Sultan, Jiawei Tian, Theodore W. Cary, & Chandra M. Sehgal. (2018). Machine learning for diagnostic ultrasound of triple-negative breast cancer. Breast Cancer Research and Treatment. 173(2). 365–373. 64 indexed citations
13.
Carney, Martin J., Jason M. Weissler, Michael A. Lanni, et al.. (2018). Application of ARFI-SWV in Stiffness Measurement of the Abdominal Wall Musculature: A Pilot Feasibility Study. Ultrasound in Medicine & Biology. 44(9). 1978–1985. 9 indexed citations
14.
Habibollahi, Peiman, Anil Chauhan, Laith R. Sultan, Lisa P. Jones, & Chandra M. Sehgal. (2017). Can “Tumor-to-Cortex Echogenicity Ratio” Differentiate Angiomyolipomas from Other Hyper-Echoic Renal Masses. Ultrasound in Medicine & Biology. 43(7). 1372–1377. 5 indexed citations
15.
Sehgal, Chandra M., et al.. (2016). Feed-forward active contour analysis for improved brachial artery reactivity testing. Vascular Medicine. 21(4). 317–324. 2 indexed citations
16.
Sultan, Laith R., Hui Xiong, Hanna M. Zafar, et al.. (2015). Vascularity Assessment of Thyroid Nodules by Quantitative Color Doppler Ultrasound. Ultrasound in Medicine & Biology. 41(5). 1287–1293. 28 indexed citations
17.
Sultan, Laith R., et al.. (2015). Observer Variability in BI-RADS Ultrasound Features and Its Influence on Computer-Aided Diagnosis of Breast Masses. PubMed. 4(1). 1–8. 3 indexed citations
18.
Cary, Theodore W., et al.. (2014). Brachial artery vasomotion and transducer pressure effect on measurements by active contour segmentation on ultrasound. Medical Physics. 41(2). 22901–22901. 15 indexed citations
19.
Sultan, Laith R., et al.. (2014). Bayesian Probability of Malignancy With BI‐RADS Sonographic Features. Journal of Ultrasound in Medicine. 33(4). 641–648. 10 indexed citations
20.
Al‐Waili, Noori S., et al.. (2006). Postsurgical psychosis: Case report and review of literature. Advances in Therapy. 23(2). 325–331. 3 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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