Ariel Jaffe

511 total citations
24 papers, 299 citations indexed

About

Ariel Jaffe is a scholar working on Hepatology, Epidemiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ariel Jaffe has authored 24 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Hepatology, 9 papers in Epidemiology and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ariel Jaffe's work include Hepatocellular Carcinoma Treatment and Prognosis (14 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Liver Disease Diagnosis and Treatment (8 papers). Ariel Jaffe is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (14 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Liver Disease Diagnosis and Treatment (8 papers). Ariel Jaffe collaborates with scholars based in United States, Germany and Italy. Ariel Jaffe's co-authors include Mario Strazzabosco, Carol J. Soroka, Scott Roberts, David N. Assis, James L. Boyer, Simona Jakab, Joseph K. Lim, Edoardo G. Giannini, Maria Corina Plaz Torres and Andrea Pasta and has published in prestigious journals such as Gastroenterology, PLoS ONE and Hepatology.

In The Last Decade

Ariel Jaffe

22 papers receiving 293 citations

Peers

Ariel Jaffe

HEPAT

EPIDE

SURGE

ONCOL

RNMI

S. Okolicsanyi Italy

Mohammad Golriz Germany

Lauranne Piron France

Yutaka Takahashi Japan

Norihiro Kokudo Japan

Paolo Delrio Italy

Sidong Xie China

Fabio Giannone Italy

Nicoletta De Matthaeis Italy

Yoshinobu Shigekawa Japan

S. Okolicsanyi Italy

Ariel Jaffe

156 ×0.9

HEPAT

84 ×0.8

EPIDE

123 ×1.3

SURGE

44 ×0.8

ONCOL

36 ×0.7

RNMI

Citations per year, relative to Ariel Jaffe Ariel Jaffe (= 1×) peers S. Okolicsanyi

Countries citing papers authored by Ariel Jaffe

Since Specialization

Citations

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

Fields of papers citing papers by Ariel Jaffe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ariel Jaffe

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

All Works

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20 of 20 papers shown

Madoff, David C., John S. Duncan, Tamar H. Taddei, et al.. (2025). Comparison of prognostic accuracy of HCC staging systems in patients undergoing TACE. Clinical Imaging. 120. 110438–110438.

Strazzabosco, Mario, Stacey Stein, Lynn Jeanette Savic, et al.. (2024). Tumor response assessment in hepatocellular carcinoma treated with immunotherapy: imaging biomarkers for clinical decision-making. European Radiology. 35(1). 73–83. 3 indexed citations

Haider, Stefan P., Tal Zeevi, Steffen Huber, et al.. (2024). Automated graded prognostic assessment for patients with hepatocellular carcinoma using machine learning. European Radiology. 34(10). 6940–6952. 3 indexed citations

Caldéraro, Julien, et al.. (2024). Artificial intelligence in liver cancer — new tools for research and patient management. Nature Reviews Gastroenterology & Hepatology. 21(8). 585–599. 23 indexed citations

Huber, Steffen, Sandeep Arora, Tal Zeevi, et al.. (2024). Automated MRI liver segmentation for anatomical segmentation, liver volumetry, and the extraction of radiomics. European Radiology. 34(8). 5056–5065. 19 indexed citations

Pasta, Andrea, Francesco Calabrese, Ariel Jaffe, et al.. (2023). Safety and Efficacy of Atezolizumab/Bevacizumab in Patients with Hepatocellular Carcinoma and Impaired Liver Function: A Systematic Review and Meta-Analysis. Liver Cancer. 13(3). 235–245. 5 indexed citations

Mezzacappa, Catherine, et al.. (2023). Adherence to Tumor Board Recommendations in the Treatment of Patients with Hepatocellular Carcinoma. Journal of Multidisciplinary Healthcare. Volume 16. 1531–1540. 2 indexed citations

Hakim, Aaron, Aimée M. Deaton, Lucas D. Ward, et al.. (2023). Advancing diagnosis and management of liver disease in adults through exome sequencing. EBioMedicine. 95. 104747–104747. 12 indexed citations

Mezzacappa, Catherine, et al.. (2023). Community-Level Factors Associated with Hepatocellular Carcinoma Incidence and Mortality: An Observational Registry Study. Cancer Epidemiology Biomarkers & Prevention. 33(2). 270–278. 2 indexed citations

10.

Jaffe, Ariel, et al.. (2022). Holistic management of hepatocellular carcinoma: The hepatologist's comprehensive playbook. Liver International. 42(12). 2607–2619. 10 indexed citations

11.

Nezami, Nariman, Fabian M. Laage Gaupp, Lynn Jeanette Savic, et al.. (2022). Optimization of the BCLC Staging System for Locoregional Therapy for Hepatocellular Carcinoma by Using Quantitative Tumor Burden Imaging Biomarkers at MRI. Radiology. 304(1). 228–237. 21 indexed citations

12.

Kayali, Stefano, Andrea Pasta, Maria Corina Plaz Torres, et al.. (2022). Immune checkpoint inhibitors in malignancies after liver transplantation: A systematic review and pooled analysis. Liver International. 43(1). 8–17. 29 indexed citations

13.

Spektor, Michael, Ariel Jaffe, Stefan P. Haider, et al.. (2021). Improved performance and consistency of deep learning 3D liver segmentation with heterogeneous cancer stages in magnetic resonance imaging. PLoS ONE. 16(12). e0260630–e0260630. 9 indexed citations

14.

Jaffe, Ariel, Joseph K. Lim, & Simona Jakab. (2020). Pathophysiology of Hepatic Encephalopathy. Clinics in Liver Disease. 24(2). 175–188. 27 indexed citations

15.

Chapiro, Julius, Fabian M. Laage Gaupp, Lynn Jeanette Savic, et al.. (2020). Reliable prediction of survival in advanced-stage hepatocellular carcinoma treated with sorafenib: comparing 1D and 3D quantitative tumor response criteria on MRI. European Radiology. 31(5). 2737–2746. 12 indexed citations

16.

Cortesi, Paolo Angelo, Sara Conti, L Scalone, et al.. (2020). Health related quality of life in chronic liver diseases. Liver International. 40(11). 2630–2642. 22 indexed citations

17.

Tripto‐Shkolnik, Liana, Ariel Jaffe, & Yair Liel. (2017). The impact of vitamin D status and parameters of calcium metabolism in patients with primary hyperparathyroidism. QJM. 111(2). 97–101. 4 indexed citations

18.

Cohen, Margot E., et al.. (2017). Determinants of Follow-up Care for Patients With Celiac Disease. Journal of Clinical Gastroenterology. 52(9). 784–788. 5 indexed citations

19.

Cohen, Margot E., et al.. (2017). Determinants of Follow-Up Care for Patients with Celiac Disease. Gastroenterology. 152(5). S268–S268. 1 indexed citations

20.

Jaffe, Ariel & Robert S. Brown. (2017). A Review of Antiviral Use for the Treatment of Chronic Hepatitis B Virus Infection in Pregnant Women.. PubMed. 13(3). 154–163. 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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