Gaspard d’Assignies

1.7k total citations
30 papers, 1.2k citations indexed

About

Gaspard d’Assignies is a scholar working on Epidemiology, Surgery and Hepatology. According to data from OpenAlex, Gaspard d’Assignies has authored 30 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Epidemiology, 11 papers in Surgery and 9 papers in Hepatology. Recurrent topics in Gaspard d’Assignies's work include Liver Disease Diagnosis and Treatment (12 papers), Liver Disease and Transplantation (6 papers) and Pancreatic and Hepatic Oncology Research (5 papers). Gaspard d’Assignies is often cited by papers focused on Liver Disease Diagnosis and Treatment (12 papers), Liver Disease and Transplantation (6 papers) and Pancreatic and Hepatic Oncology Research (5 papers). Gaspard d’Assignies collaborates with scholars based in France, Canada and Switzerland. Gaspard d’Assignies's co-authors include Valérie Vilgrain, Philippe Ruszniewski, Alain Sauvanet, Marie‐Pierre Vullierme, Valérie Paradis, Anne Couvelard, Pierre Bédossa, Olivia Hentic, Pascal Hammel and Onorina Bruno and has published in prestigious journals such as New England Journal of Medicine, Gastroenterology and Scientific Reports.

In The Last Decade

Gaspard d’Assignies

29 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Gaspard d’Assignies France	18	673	459	309	308	221	30	1.2k
Benjamin Henninger Austria	23	539 0.8×	283 0.6×	475 1.5×	446 1.4×	174 0.8×	95	1.7k
Takeyuki Watadani Japan	18	333 0.5×	280 0.6×	234 0.8×	354 1.1×	198 0.9×	49	1.6k
F. Pigneur France	19	242 0.4×	278 0.6×	358 1.2×	387 1.3×	354 1.6×	57	1.4k
Mounes Aliyari Ghasabeh United States	17	243 0.4×	153 0.3×	262 0.8×	192 0.6×	252 1.1×	43	726
Chandana Lall United States	20	198 0.3×	199 0.4×	288 0.9×	473 1.5×	197 0.9×	67	1.1k
Nikhil Bhagat United States	16	277 0.4×	176 0.4×	421 1.4×	190 0.6×	730 3.3×	31	1.2k
Takeshi Aramaki Japan	21	298 0.4×	519 1.1×	239 0.8×	608 2.0×	783 3.5×	114	1.5k
Bogna Ziarkiewicz‐Wróblewska Poland	14	323 0.5×	218 0.5×	87 0.3×	357 1.2×	251 1.1×	86	963
Olivier Chevallier France	23	272 0.4×	61 0.1×	339 1.1×	434 1.4×	175 0.8×	96	1.3k
Ciro Gabriele Mainolfi Italy	22	97 0.1×	313 0.7×	678 2.2×	481 1.6×	79 0.4×	71	1.5k

Countries citing papers authored by Gaspard d’Assignies

Since Specialization

Citations

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

Fields of papers citing papers by Gaspard d’Assignies

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gaspard d’Assignies. 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 Gaspard d’Assignies. The network helps show where Gaspard d’Assignies may publish in the future.

Co-authorship network of co-authors of Gaspard d’Assignies

This figure shows the co-authorship network connecting the top 25 collaborators of Gaspard d’Assignies. A scholar is included among the top collaborators of Gaspard d’Assignies 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 Gaspard d’Assignies. Gaspard d’Assignies 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

Herpe, Guillaume, et al.. (2025). Impact of AI assistance on radiologist interpretation of knee MRI. European Radiology. 36(2). 1294–1305.

Behr, Julien, Christophe Nich, Gaspard d’Assignies, et al.. (2025). Deep learning-assisted detection of meniscus and anterior cruciate ligament combined tears in adult knee magnetic resonance imaging: a crossover study with arthroscopy correlation. International Orthopaedics. 49(7). 1689–1697. 2 indexed citations

Lassalle, Louis, et al.. (2022). Deep learning to detect anterior cruciate ligament tear on knee MRI: multi-continental external validation. European Radiology. 32(12). 8394–8403. 40 indexed citations

Ardon, Roberto, et al.. (2022). Adhesion-related small bowel obstruction: deep learning for automatic transition-zone detection by CT. Insights into Imaging. 13(1). 13–13. 10 indexed citations

Nich, Christophe, Julien Behr, Vincent Crenn, et al.. (2022). Applications of artificial intelligence and machine learning for the hip and knee surgeon: current state and implications for the future. International Orthopaedics. 46(5). 937–944. 17 indexed citations

Guillin, Raphaël, et al.. (2021). Meniscal lesion detection and characterization in adult knee MRI: A deep learning model approach with external validation. Physica Medica. 83. 64–71. 49 indexed citations

Fabre, Dominique, Justine Mougin, Marc Zins, et al.. (2021). Pre-surgical and Post-surgical Aortic Aneurysm Maximum Diameter Measurement: Full Automation by Artificial Intelligence. European Journal of Vascular and Endovascular Surgery. 62(6). 869–877. 37 indexed citations

Paisant, Anita, Edouard Bardou‐Jacquet, Élise Bannier, et al.. (2017). Assessment of liver iron overload by 3 T MRI. Abdominal Radiology. 42(6). 1713–1720. 22 indexed citations

Paisant, Anita, Gaspard d’Assignies, Élise Bannier, Edouard Bardou‐Jacquet, & Y. Gandon. (2017). MRI for the measurement of liver iron content, and for the diagnosis and follow-up of iron overload disorders. La Presse Médicale. 46(12). e279–e287. 23 indexed citations

10.

d’Assignies, Gaspard, Helena S. Leitão, Toni Alfaiate, et al.. (2015). Liver steatosis assessed by preoperative MRI: An independent risk factor for severe complications after major hepatic resection. Surgery. 159(4). 1050–1057. 13 indexed citations

11.

d’Assignies, Gaspard, Jérôme Cros, Philippe Ruszniewski, et al.. (2014). CT and MR imaging of multilocular acinar cell cystadenoma: comparison with branch duct intraductal papillary mucinous neoplasia (IPMNs). European Radiology. 24(9). 2128–2136. 22 indexed citations

12.

Vilgrain, Valérie, Maxime Ronot, Mohamed Abdel‐Rehim, et al.. (2013). Hepatic steatosis: A major trap in liver imaging. Diagnostic and Interventional Imaging. 94(7-8). 713–727. 37 indexed citations

13.

Mestier, Louis de, Clarisse Dromain, Gaspard d’Assignies, et al.. (2013). Evaluating digestive neuroendocrine tumor progression and therapeutic responses in the era of targeted therapies: state of the art. Endocrine Related Cancer. 21(3). R105–R120. 59 indexed citations

14.

d’Assignies, Gaspard, et al.. (2013). An Unknowingly Swallowed Inedible Toy. New England Journal of Medicine. 369(26). 2535–2535. 2 indexed citations

15.

d’Assignies, Gaspard, Onorina Bruno, Marie‐Pierre Vullierme, et al.. (2013). High Sensitivity of Diffusion-weighted MR Imaging for the Detection of Liver Metastases from Neuroendocrine Tumors: Comparison with T2-weighted and Dynamic Gadolinium-enhanced MR Imaging. Radiology. 268(2). 390–399. 148 indexed citations

16.

Vullierme, Marie‐Pierre, Gaspard d’Assignies, Philippe Ruszniewski, & Valérie Vilgrain. (2011). Imaging IPMN: Take home messages and news. Clinics and Research in Hepatology and Gastroenterology. 35(6-7). 426–429. 5 indexed citations

17.

Vullierme, Marie‐Pierre, et al.. (2011). Evaluation of Analgesic Effect of Equimolar Mixture of Oxygen and Nitrous Oxide Inhalation During Percutaneous Biopsy of Focal Liver Lesions:. Academic Radiology. 18(7). 816–821. 15 indexed citations

18.

d’Assignies, Gaspard, Abdesslem Khiat, Luigi Lepanto, et al.. (2009). Noninvasive quantitation of human liver steatosis using magnetic resonance and bioassay methods. European Radiology. 19(8). 2033–2040. 84 indexed citations

19.

d’Assignies, Gaspard, Anne Couvelard, Stéphane Bahrami, et al.. (2008). Pancreatic Endocrine Tumors: Tumor Blood Flow Assessed with Perfusion CT Reflects Angiogenesis and Correlates with Prognostic Factors¹. Radiology. 250(2). 407–416. 200 indexed citations

20.

d’Assignies, Gaspard, Anne Couvelard, Stéphane Bahrami, et al.. (2008). S1159 Blood Flow Assessed By Perfusion CT Reflects Angiogenesis and Correlates with Prognostic Factors in pts with Pancreatic Endocrine Tumors. Gastroenterology. 134(4). A–190. 1 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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