Hugo Levillain

586 total citations
13 papers, 188 citations indexed

About

Hugo Levillain is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Hugo Levillain has authored 13 papers receiving a total of 188 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Oncology and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Hugo Levillain's work include Medical Imaging Techniques and Applications (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Hepatocellular Carcinoma Treatment and Prognosis (4 papers). Hugo Levillain is often cited by papers focused on Medical Imaging Techniques and Applications (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Hepatocellular Carcinoma Treatment and Prognosis (4 papers). Hugo Levillain collaborates with scholars based in Belgium, Germany and Netherlands. Hugo Levillain's co-authors include Patrick Flamen, Alain Hendlisz, Bruno Vanderlinden, N. Reynaert, Thomas Guiot, Michaël Vouche, Carlos Artigas, Hojjat Ahmadzadehfar, Lieveke Ameye and Arthur J. A. T. Braat and has published in prestigious journals such as SHILAP Revista de lepidopterología, Oncotarget and Radiotherapy and Oncology.

In The Last Decade

Hugo Levillain

12 papers receiving 187 citations

Peers

Hugo Levillain
Rita Salvatori Italy
Fabio Monari Italy
Paul Haste United States
Beau B. Toskich United States
Panteleimon Papadopoulos France
Sandy Mohamed Denmark
Carole Allimant France
Sabrina Hartenbach Austria
Emiel J.C. Sturm Belgium
B. Wahlers Germany
Rita Salvatori Italy
Hugo Levillain
Citations per year, relative to Hugo Levillain Hugo Levillain (= 1×) peers Rita Salvatori

Countries citing papers authored by Hugo Levillain

Since Specialization
Citations

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

Fields of papers citing papers by Hugo Levillain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hugo Levillain

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

All Works

13 of 13 papers shown
1.
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Artigas, Carlos, Hugo Levillain, Lieveke Ameye, et al.. (2024). 177Lu-DOTATATE PRRT Safety and Organ-at-Risk Dosimetry in Patients With Gastroenteropancreatic Neuroendocrine Tumors. Clinical Nuclear Medicine. 49(9). 847–853. 5 indexed citations
3.
Caluwé, Alex De, et al.. (2024). Automated segmentation in planning-CT for breast cancer radiotherapy: A review of recent advances. Radiotherapy and Oncology. 202. 110615–110615. 3 indexed citations
4.
Kristanto, Paulus, Bruno Vanderlinden, Zéna Wimana, et al.. (2024). Evolution of dosimetric parameters through PRRT and potential impact on clinical practice: data from the prospective phase II LUMEN study. EJNMMI Research. 14(1). 110–110. 2 indexed citations
5.
Vouche, Michaël, Jason Bouziotis, Rodrigo Moreno‐Reyes, et al.. (2023). Clinical impact of 99mTc-MAA SPECT/CT-based personalized predictive dosimetry in selective internal radiotherapy: a real-life single-center experience in unresectable HCC patients. SHILAP Revista de lepidopterología. 7(1). 12–12. 4 indexed citations
6.
Tran‐Gia, Johannes, Carlos Uribe, Bruno Vanderlinden, et al.. (2023). Quantitative 177Lu SPECT/CT imaging for personalized dosimetry using a ring-shaped CZT-based camera. EJNMMI Physics. 10(1). 64–64. 14 indexed citations
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Levillain, Hugo, Lieveke Ameye, Thomas Guiot, et al.. (2019). Personalised radioembolization improves outcomes in refractory intra-hepatic cholangiocarcinoma: a multicenter study. European Journal of Nuclear Medicine and Molecular Imaging. 46(11). 2270–2279. 48 indexed citations
10.
Artigas, Carlos, Patrick Flamen, Hugo Levillain, et al.. (2019). 68Ga-PSMA PET/CT-based metastasis-directed radiotherapy for oligometastatic prostate cancer recurrence after radical prostatectomy. World Journal of Urology. 37(8). 1535–1542. 22 indexed citations
11.
Levillain, Hugo, Ali Bohlok, Nicola Trotta, et al.. (2019). The metabolic clinical risk score as a new prognostic model for surgical decision‐making in patients with colorectal liver metastases. Journal of Surgical Oncology. 121(2). 350–356. 2 indexed citations
12.
Levillain, Hugo, Thomas Guiot, Michaël Vouche, et al.. (2018). 90Y-PET/CT-based dosimetry after selective internal radiation therapy predicts outcome in patients with liver metastases from colorectal cancer. EJNMMI Research. 8(1). 60–60. 40 indexed citations
13.

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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