Julien Caldéraro

20.8k total citations · 11 hit papers
164 papers, 10.2k citations indexed

About

Julien Caldéraro is a scholar working on Hepatology, Oncology and Surgery. According to data from OpenAlex, Julien Caldéraro has authored 164 papers receiving a total of 10.2k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Hepatology, 50 papers in Oncology and 42 papers in Surgery. Recurrent topics in Julien Caldéraro's work include Hepatocellular Carcinoma Treatment and Prognosis (60 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (28 papers) and Liver Disease Diagnosis and Treatment (27 papers). Julien Caldéraro is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (60 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (28 papers) and Liver Disease Diagnosis and Treatment (27 papers). Julien Caldéraro collaborates with scholars based in France, United States and Germany. Julien Caldéraro's co-authors include Jessica Zucman‐Rossi, Wolf H. Fridman, Florent Petitprez, Catherine Sautès‐Fridman, Paulette Bioulac‐Sage, Alexis Laurent, Jean‐Charles Nault, Giuliana Amaddeo, Charles Balabaud and Sandrine Imbeaud and has published in prestigious journals such as Nature Communications, Nature Genetics and SHILAP Revista de lepidopterología.

In The Last Decade

Julien Caldéraro

159 papers receiving 10.1k citations

Hit Papers

Tertiary lymphoid structures in the era of ... 2012 2026 2016 2021 2019 2012 2017 2013 2019 250 500 750 1000

Peers

Julien Caldéraro
Ahmed O. Kaseb United States
Yujin Hoshida United States
Sasan Roayaie United States
Tim Meyer United Kingdom
Thomas Yau Hong Kong
Julien Caldéraro
Citations per year, relative to Julien Caldéraro Julien Caldéraro (= 1×) peers Massimo Roncalli

Countries citing papers authored by Julien Caldéraro

Since Specialization
Citations

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

Fields of papers citing papers by Julien Caldéraro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julien Caldéraro

This figure shows the co-authorship network connecting the top 25 collaborators of Julien Caldéraro. A scholar is included among the top collaborators of Julien Caldéraro 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 Julien Caldéraro. Julien Caldéraro 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.
Hirsch, Théo Z., Stefano Caruso, Isabelle Galy–Fauroux, et al.. (2025). Intratumour ploidy heterogeneity and clonal evolution in hepatocellular carcinoma. Journal of Hepatology. 84(4). 776–792.
2.
Clusmann, Jan, Octavi Bassegoda, Carolin V. Schneider, et al.. (2025). The barriers to uptake of artificial intelligence in hepatology and how to overcome them. Journal of Hepatology. 83(6). 1410–1426. 3 indexed citations
3.
Carrero, Zunamys I., Chiara Maria Lavinia Loeffler, Marko van Treeck, et al.. (2024). Deep learning for dual detection of microsatellite instability and POLE mutations in colorectal cancer histopathology. npj Precision Oncology. 8(1). 115–115. 10 indexed citations
4.
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. 13 indexed citations
5.
Kwon, So Mee, Taek Chung, Jeong Eun Yoo, et al.. (2024). Transcriptomic profiling of intermediate cell carcinoma of the liver. Hepatology Communications. 8(8). 3 indexed citations
6.
Nahhas, Omar S. M. El, Chiara Maria Lavinia Loeffler, Zunamys I. Carrero, et al.. (2024). Regression-based Deep-Learning predicts molecular biomarkers from pathology slides. Nature Communications. 15(1). 1253–1253. 35 indexed citations
7.
Nault, Jean‐Charles, Julien Caldéraro, & Maxime Ronot. (2024). Integration of new technologies in the multidisciplinary approach to primary liver tumours: The next-generation tumour board. Journal of Hepatology. 81(4). 756–762. 5 indexed citations
8.
Bèaufrere, Aurélie, Ibrahima Ba, François Cauchy, et al.. (2023). Differential diagnosis of small hepatocellular nodules in cirrhosis: surrogate histological criteria of TERT promoter mutations. Histopathology. 84(3). 473–481. 2 indexed citations
9.
Ligero, Marta, Garazi Serna, Omar S. M. El Nahhas, et al.. (2023). Weakly Supervised Deep Learning Predicts Immunotherapy Response in Solid Tumors Based on PD-L1 Expression. Cancer Research Communications. 4(1). 92–102. 13 indexed citations
10.
Becq, Aymeric, Alexis Laurent, Quentin de Roux, et al.. (2023). Long-Term Results of Endoscopic Metal Stenting for Biliary Anastomotic Stricture after Liver Transplantation. Journal of Clinical Medicine. 12(4). 1453–1453. 3 indexed citations
11.
Bayard, Quentin, Camille Péneau, Sandrine Imbeaud, et al.. (2022). Structure, Dynamics, and Impact of Replication Stress–Induced Structural Variants in Hepatocellular Carcinoma. Cancer Research. 82(8). 1470–1481. 3 indexed citations
12.
Zeng, Qinghe, Christophe Klein, Stefano Caruso, et al.. (2022). Artificial intelligence predicts immune and inflammatory gene signatures directly from hepatocellular carcinoma histology. Journal of Hepatology. 77(1). 116–127. 72 indexed citations
13.
Wege, Henning, Kornelius Schulze, Johann von Felden, Julien Caldéraro, & María Reig. (2021). Rare variants of primary liver cancer: Fibrolamellar, combined, and sarcomatoid hepatocellular carcinomas. European Journal of Medical Genetics. 64(11). 104313–104313. 19 indexed citations
14.
Caldéraro, Julien & Jakob Nikolas Kather. (2020). Artificial intelligence-based pathology for gastrointestinal and hepatobiliary cancers. Gut. 70(6). 1183–1193. 69 indexed citations
15.
Saillard, Charlie, Benoît Schmauch, Matahi Moarii, et al.. (2020). Predicting Survival After Hepatocellular Carcinoma Resection Using Deep Learning on Histological Slides. Hepatology. 72(6). 2000–2013. 200 indexed citations
16.
Tavernier, Emmanuelle, Frédérique Kuhnowski, Jérôme Tamburini, et al.. (2020). Sinusoidal obstruction syndrome: a warning about autologous stem cell transplantation preceded by regimens containing oxaliplatin. Bone Marrow Transplantation. 55(9). 1834–1836. 3 indexed citations
17.
Caruso, Stefano, Romain Donné, Séverine Celton‐Morizur, et al.. (2019). Polyploidy spectrum: a new marker in HCC classification. Gut. 69(2). 355–364. 72 indexed citations
18.
Coulouarn, Cédric, Bruno Ragazzon, Bernhard Mlecnik, et al.. (2018). AXIN deficiency in human and mouse hepatocytes induces hepatocellular carcinoma in the absence of β-catenin activation. Journal of Hepatology. 68(6). 1203–1213. 82 indexed citations
19.
Ferté, Charles, Yohann Loriot, Céline Clémenson, et al.. (2013). IGF-1R Targeting Increases the Antitumor Effects of DNA-Damaging Agents in SCLC Model: An Opportunity to Increase the Efficacy of Standard Therapy. Molecular Cancer Therapeutics. 12(7). 1213–1222. 42 indexed citations
20.
Mordant, Pierre, Yohann Loriot, Julien Caldéraro, et al.. (2010). Dependence on Phosphoinositide 3-Kinase and RAS-RAF Pathways Drive the Activity of RAF265, a Novel RAF/VEGFR2 Inhibitor, and RAD001 (Everolimus) in Combination. Molecular Cancer Therapeutics. 9(2). 358–368. 42 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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