Maxime Ronot
About
Maxime Ronot is a scholar working on Hepatology, Epidemiology and Surgery.
According to data from OpenAlex, Maxime Ronot has authored 320 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 173 papers in Hepatology, 133 papers in Epidemiology and 132 papers in Surgery. Recurrent topics in Maxime Ronot's work include Hepatocellular Carcinoma Treatment and Prognosis (143 papers), Liver Disease Diagnosis and Treatment (104 papers) and Liver Disease and Transplantation (65 papers). Maxime Ronot is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (143 papers), Liver Disease Diagnosis and Treatment (104 papers) and Liver Disease and Transplantation (65 papers). Maxime Ronot collaborates with scholars based in France, Italy and Switzerland. Maxime Ronot's co-authors include Valérie Vilgrain, Valérie Paradis, Marco Dioguardi Burgio, Bernard E. Van Beers, Laurent Castéra, Dominique Valla, Pierre‐Emmanuel Rautou, Jacques Belghiti, François Cauchy and Riccardo Sartoris and has published in prestigious journals such as Journal of Clinical Oncology, Gastroenterology and PLoS ONE.
In The Last Decade
Maxime Ronot
302 papers receiving 6.3k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Maxime Ronot France | 42 | 3.4k | 2.7k | 2.1k | 1.4k | 1.2k | 320 | 6.3k | ||
| So Yeon Kim South Korea | 42 | 3.7k 1.1× | 3.2k 1.2× | 2.2k 1.0× | 2.3k 1.6× | 1.0k 0.9× | 259 | 7.1k | ||
| Kathryn J. Fowler United States | 41 | 3.5k 1.0× | 2.8k 1.0× | 1.7k 0.8× | 2.3k 1.7× | 852 0.7× | 226 | 6.5k | ||
| Seung Soo Lee South Korea | 44 | 2.4k 0.7× | 2.7k 1.0× | 2.3k 1.1× | 2.3k 1.6× | 1.6k 1.4× | 258 | 7.0k | ||
| Toshifumi Gabata Japan | 46 | 3.9k 1.2× | 3.7k 1.4× | 2.9k 1.4× | 1.9k 1.3× | 1.4k 1.2× | 264 | 7.9k | ||
| Boris Guiu France | 42 | 2.6k 0.8× | 1.8k 0.7× | 2.2k 1.1× | 1.3k 0.9× | 1.5k 1.3× | 229 | 6.4k | ||
| Dongil Choi South Korea | 46 | 4.2k 1.2× | 2.6k 1.0× | 2.1k 1.0× | 1.6k 1.1× | 1.2k 1.0× | 179 | 6.8k | ||
| Ming‐De Lu China | 42 | 2.9k 0.9× | 1.8k 0.7× | 1.7k 0.8× | 1.6k 1.2× | 738 0.6× | 225 | 5.5k | ||
| Rita Golfieri Italy | 50 | 5.4k 1.6× | 3.2k 1.2× | 3.3k 1.6× | 1.7k 1.2× | 1.4k 1.2× | 362 | 9.3k | ||
| Ravi Murthy United States | 42 | 2.8k 0.8× | 1.6k 0.6× | 1.6k 0.8× | 1.6k 1.2× | 1.8k 1.5× | 151 | 6.8k | ||
| Karen T. Brown United States | 43 | 3.0k 0.9× | 1.5k 0.6× | 2.6k 1.2× | 700 0.5× | 2.6k 2.2× | 169 | 6.5k |
Countries citing papers authored by Maxime Ronot
Since
Specialization
Citations
This map shows the geographic impact of Maxime Ronot'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 Maxime Ronot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maxime Ronot more than expected).
Fields of papers citing papers by Maxime Ronot
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Maxime Ronot. 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 Maxime Ronot. The network helps show where Maxime Ronot may publish in the future.
Co-authorship network of co-authors of Maxime Ronot
This figure shows the co-authorship network connecting the top 25 collaborators of Maxime Ronot. A scholar is included among the top collaborators of Maxime Ronot 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 Maxime Ronot. Maxime Ronot is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Paisant, Anita, Agnès Rode, Riccardo Sartoris, et al.. (2025). Improving risk stratification and detection of early HCC using ultrasound-based deep learning models. JHEP Reports. 7(10). 101510–101510.
2.
Ronot, Maxime, Michael Wells, Antonio Luna, et al.. (2025). Hypointense Findings on Hepatobiliary Phase MR Images. Radiographics. 45(2). e240090–e240090.
3.
Parlati, Lucia, et al.. (2025). SIAD (Societé d'Imagerie Abdominale et Digestive) and AFEF (Association Française pour l'Etude du Foie) best practice position paper on the implementation of ultrasound elastography in clinical practice. Diagnostic and Interventional Imaging. 106(7-8). 272–279.
4.
Dokmak, Safi, Béatrice Aussilhou, Louis de Mestier, et al.. (2025). Distal pancreatectomy with celiac axis resection (DP-CAR) for pancreatic ductal adenocarcinoma in a retrospective monocentric cohort: neoadjuvant treatment and three-axis embolization of the celiac axis are key factors of success. HPB. 27(8). 1048–1059.
5.
Wang, Yanshu, Chongtu Yang, Hong Wei, et al.. (2024). MRI-based prediction of the need for wide resection margins in patients with single hepatocellular carcinoma. European Radiology. 35(4). 1772–1784.
6.
Jiang, Hanyu, Roberto Cannella, Zhenru Wu, et al.. (2024). Prognostic Implications of MRI-assessed Intratumoral Fat in Hepatocellular Carcinoma: An Asian and European Cohort Study. Radiology. 313(2). e233471–e233471.
7.
Cannella, Roberto, Marco Dioguardi Burgio, Riccardo Sartoris, et al.. (2024). Association of LI-RADS and Histopathologic Features with Survival in Patients with Solitary Resected Hepatocellular Carcinoma. Radiology. 310(2). e231160–e231160.
8.
Pomej, Katharina, Lorenz Balcar, Riccardo Sartoris, et al.. (2024). Evolution of liver function during immune checkpoint inhibitor treatment for hepatocellular carcinoma. United European Gastroenterology Journal. 12(8). 1034–1043.
9.
Singal, Amit G., Marco Sanduzzi‐Zamparelli, Pierre Nahon, et al.. (2023). International Liver Cancer Association (ILCA) white paper on hepatocellular carcinoma risk stratification and surveillance. Journal of Hepatology. 79(1). 226–239.
10.
Burgio, Marco Dioguardi, Lorenzo Garzelli, Roberto Cannella, Maxime Ronot, & Valérie Vilgrain. (2023). Hepatocellular Carcinoma: Optimal Radiological Evaluation before Liver Transplantation. Life. 13(12). 2267–2267.
11.
Mulé, Sebastien, Maxime Ronot, Mario Ghosn, et al.. (2023). Automated CT LI-RADS v2018 scoring of liver observations using machine learning: A multivendor, multicentre retrospective study. JHEP Reports. 5(10). 100857–100857.
12.
Garzelli, Lorenzo, Alexandre Nuzzo, Olivier Corcos, et al.. (2023). Strengthening the Description of Superior Mesenteric Artery Occlusions in Acute Mesenteric Ischaemia: Proposition for an Anatomical Classification. European Journal of Vascular and Endovascular Surgery. 65(6). 802–808.
13.
Poetter‐Lang, Sarah, Alina Messner, Nina Bastati, et al.. (2023). Diagnosis of functional strictures in patients with primary sclerosing cholangitis using hepatobiliary contrast-enhanced MRI: a proof-of-concept study. European Radiology. 33(12). 9022–9037.
14.
Campani, Claudia, Jules Grégory, François Durand, et al.. (2023). Fragility index of positive phase II and III randomised clinical trials of treatments for hepatocellular carcinoma (2002–2022). JHEP Reports. 5(7). 100755–100755.
15.
Grégory, Jules, Cesare Maino, Valérie Vilgrain, Maxime Ronot, & Isabelle Boutron. (2023). Completeness of Reporting in Abstracts of Randomized Controlled Trials Assessing Interventional Radiology for Liver Disease. Journal of Vascular and Interventional Radiology. 34(9). 1576–1583.e7.
16.
Fowler, Kathryn J., Mustafa R. Bashir, David T. Fetzer, et al.. (2022). Universal Liver Imaging Lexicon: Imaging Atlas for Research and Clinical Practice. Radiographics. 43(1). e220066–e220066.
17.
Abdallah, Iannis Ben, Damián Craiem, Mariano E. Casciaro, et al.. (2022). Volumetric Analysis of Progressive Remodeling of Isolated Mesenteric Artery Dissection Treated by Conservative Therapy. Journal of Vascular and Interventional Radiology. 34(3). 445–453.
18.
Zulfiqar, Maria, Deyali Chatterjee, Norihide Yoneda, et al.. (2022). Imaging Features of Premalignant Biliary Lesions and Predisposing Conditions with Pathologic Correlation. Radiographics. 42(5). 1320–1337.
19.
Lamarca, Ángela, Maxime Ronot, Salma Moalla, et al.. (2019). Tumor Growth Rate as a Validated Early Radiological Biomarker Able to Reflect Treatment-Induced Changes in Neuroendocrine Tumors: The GREPONET-2 Study. Clinical Cancer Research. 25(22). 6692–6699.
20.
Ronot, Maxime, Ashley Kieran Clift, Richard P. Baum, et al.. (2017). Morphological and Functional Imaging for Detecting and Assessing the Resectability of Neuroendocrine Liver Metastases. Neuroendocrinology. 106(1). 74–88.
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.
Explore authors with similar magnitude of impact
Breakdown of academic impact, for papers by So Yeon Kim Breakdown of academic impact, for papers by Kathryn J. Fowler Breakdown of academic impact, for papers by Seung Soo Lee Breakdown of academic impact, for papers by Toshifumi Gabata Breakdown of academic impact, for papers by Boris Guiu Breakdown of academic impact, for papers by Dongil Choi Breakdown of academic impact, for papers by Ming‐De Lu Breakdown of academic impact, for papers by Rita Golfieri Breakdown of academic impact, for papers by Ravi Murthy Breakdown of academic impact, for papers by Karen T. Brown