Pierre Lovinfosse

2.1k total citations · 1 hit paper
54 papers, 1.1k citations indexed

About

Pierre Lovinfosse is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Pierre Lovinfosse has authored 54 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Radiology, Nuclear Medicine and Imaging, 20 papers in Pulmonary and Respiratory Medicine and 9 papers in Surgery. Recurrent topics in Pierre Lovinfosse's work include Radiomics and Machine Learning in Medical Imaging (21 papers), Medical Imaging Techniques and Applications (13 papers) and Lung Cancer Diagnosis and Treatment (8 papers). Pierre Lovinfosse is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (21 papers), Medical Imaging Techniques and Applications (13 papers) and Lung Cancer Diagnosis and Treatment (8 papers). Pierre Lovinfosse collaborates with scholars based in Belgium, France and Netherlands. Pierre Lovinfosse's co-authors include Roland Hustinx, Mathieu Hatt, Dimitris Visvikis, Claire Bernard, Philippe Lambin, Wim Vos, Ralph T. H. Leijenaar, Julien Guiot, Anne-Noëlle Frix and Marta S. Ferreira and has published in prestigious journals such as SHILAP Revista de lepidopterología, Oncogene and Scientific Reports.

In The Last Decade

Pierre Lovinfosse

48 papers receiving 1.1k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A review in radiomics: Making personalized medicine a reality via routine imaging

2021 192 citations Julien Guiot, Akshayaa Vaidyanathan et al. Medicinal Research Reviews profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pierre Lovinfosse Belgium	18	736	409	228	186	138	54	1.1k
Kenshiro Shiraishi Japan	23	525 0.7×	557 1.4×	307 1.3×	177 1.0×	271 2.0×	70	1.4k
Fusheng Ouyang China	13	836 1.1×	281 0.7×	186 0.8×	171 0.9×	145 1.1×	30	1.1k
Sabina Dizdarevic United Kingdom	13	600 0.8×	338 0.8×	174 0.8×	103 0.6×	116 0.8×	46	864
Pei Nie China	18	553 0.8×	409 1.0×	104 0.5×	187 1.0×	139 1.0×	57	855
Jian Zhu China	16	406 0.6×	300 0.7×	156 0.7×	108 0.6×	213 1.5×	69	894
Zhouyang Lian China	14	780 1.1×	242 0.6×	148 0.6×	137 0.7×	123 0.9×	37	1.1k
Fiona M. Fennessy United States	16	681 0.9×	517 1.3×	88 0.4×	185 1.0×	116 0.8×	36	1.1k
Jinwei Qiang China	25	1.2k 1.6×	363 0.9×	151 0.7×	102 0.5×	310 2.2×	140	1.9k
Emanuele Voulaz Italy	15	630 0.9×	814 2.0×	185 0.8×	138 0.7×	174 1.3×	53	1.2k
Gustavo Mercier United States	20	723 1.0×	462 1.1×	240 1.1×	96 0.5×	339 2.5×	42	1.4k

Countries citing papers authored by Pierre Lovinfosse

Since Specialization

Citations

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

Fields of papers citing papers by Pierre Lovinfosse

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pierre Lovinfosse

This figure shows the co-authorship network connecting the top 25 collaborators of Pierre Lovinfosse. A scholar is included among the top collaborators of Pierre Lovinfosse 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 Pierre Lovinfosse. Pierre Lovinfosse 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

Czajkowski, Michele, et al.. (2024). Severe dual fungal infection after bispecific antibody therapy: A case of invasive aspergillosis and mucormycosis in immunocompromised patient. IDCases. 39. e02140–e02140.

Ibrahim, Abdalla, Akshayaa Vaidyanathan, Sergey Primakov, et al.. (2023). Deep learning based identification of bone scintigraphies containing metastatic bone disease foci. Cancer Imaging. 23(1). 12–12. 11 indexed citations

Weekers, Laurent, Pierre Lovinfosse, Hans Pottel, et al.. (2023). The uptake of [18F]-fluorodeoxyglucose by the renal allograft correlates with the acute Banff scores of cortex inflammation but not with the 1-year graft outcomes. SHILAP Revista de lepidopterología. 2. 1236751–1236751.

Sacheli, Rosalie, Jenny Knapp, Philippe Léonard, et al.. (2023). Genetic diversity of Echinococcus multilocularis specimens isolated from Belgian patients with alveolar echinococcosis using EmsB microsatellites analysis. Infection Genetics and Evolution. 116. 105531–105531. 2 indexed citations

Bours, Vincent, Katty Delbecque, Christine Gennigens, et al.. (2022). 2022-RA-193-ESGO Cost-effectiveness of molecular profiling for endometrial neoplasia: a single institution experience. International Journal of Gynecological Cancer. 32. A91–A91.

Lovinfosse, Pierre & Roland Hustinx. (2022). The role of PET imaging in inflammatory bowel diseases: state-of-the-art review. The Quarterly Journal of Nuclear Medicine and Molecular Imaging. 66(3). 206–217. 8 indexed citations

Guiot, Julien, Akshayaa Vaidyanathan, Louis Deprez, et al.. (2021). A review in radiomics: Making personalized medicine a reality via routine imaging. Medicinal Research Reviews. 42(1). 426–440. 192 indexed citations breakdown →

Goffin, Frédéric, et al.. (2021). Cancer du col utérin localement avancé : approche multidisciplinaire.. Open Repository and Bibliography (University of Liège).

Ferreira, Marta S., Pierre Lovinfosse, Caroline Rousseau, et al.. (2021). [18F]FDG PET radiomics to predict disease-free survival in cervical cancer: a multi-scanner/center study with external validation. European Journal of Nuclear Medicine and Molecular Imaging. 48(11). 3432–3443. 44 indexed citations

10.

Ferreira, Marta S., François Lucia, Vincent Jaouen, et al.. (2021). Convolutional neural networks for PET functional volume fully automatic segmentation: development and validation in a multi-center setting. European Journal of Nuclear Medicine and Molecular Imaging. 48(11). 3444–3456. 18 indexed citations

11.

Lovinfosse, Pierre, et al.. (2020). Interobserver agreement of [68Ga]Ga-PSMA-11 PET/CT images interpretation in men with newly diagnosed prostate cancer. EJNMMI Research. 10(1). 15–15. 18 indexed citations

12.

Zerka, Fadila, Akshayaa Vaidyanathan, Julien Guiot, et al.. (2020). Late Breaking Abstract - Development and validation of an automated radiomic CT signature for detecting?COVID-19. 4152–4152. 1 indexed citations

13.

Guiot, Julien, Denis Danthine, Louis Deprez, et al.. (2020). [Chest radiological lesions in COVID-19 : from classical imaging to artificial intelligence].. PubMed. 75(S1). 81–85. 1 indexed citations

14.

Lovinfosse, Pierre, et al.. (2020). The use of a visual 4-point scoring scale improves the yield of 18F-FDG PET-CT imaging in the diagnosis of renal and hepatic cyst infection in patients with autosomal dominant polycystic kidney disease. European Journal of Nuclear Medicine and Molecular Imaging. 48(1). 254–259. 11 indexed citations

15.

Weekers, Laurent, Pierre Lovinfosse, Catherine Bonvoisin, et al.. (2019). Diagnostic yield of 18F-FDG PET/CT imaging and urinary CXCL9/creatinine levels in kidney allograft subclinical rejection. American Journal of Transplantation. 20(5). 1402–1409. 14 indexed citations

16.

Bernard, Claire, et al.. (2019). Comparative dosimetry between 99mTc-MAA SPECT/CT and 90Y PET/CT in primary and metastatic liver tumors. European Journal of Nuclear Medicine and Molecular Imaging. 47(4). 828–837. 46 indexed citations

17.

Rademaker, Gilles, Laura Brohée, Marie‐Julie Nokin, et al.. (2018). Myoferlin controls mitochondrial structure and activity in pancreatic ductal adenocarcinoma, and affects tumor aggressiveness. Oncogene. 37(32). 4398–4412. 49 indexed citations

18.

Lovinfosse, Pierre, Laurent Weekers, Pierre Delanaye, et al.. (2016). The Uptake of 18F-FDG by Renal Allograft in Kidney Transplant Recipients Is Not Influenced by Renal Function. Clinical Nuclear Medicine. 41(9). 683–687. 9 indexed citations

19.

Lovinfosse, Pierre, Philippe Coucke, Sébastien Jodogne, et al.. (2016). FDG PET/CT texture analysis for predicting the outcome of lung cancer treated by stereotactic body radiation therapy. European Journal of Nuclear Medicine and Molecular Imaging. 43(8). 1453–1460. 101 indexed citations

20.

Withofs, Nadia, Nicolas Signolle, Joan Somja, et al.. (2015). ¹⁸F-FPRGD2 PET/CT Imaging of Integrin α_vβ₃ in Renal Carcinomas: Correlation with Histopathology. Journal of Nuclear Medicine. 56(3). 361–364. 33 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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