Denis Danthine

431 total citations · 1 hit paper
8 papers, 209 citations indexed

About

Denis Danthine is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Obstetrics and Gynecology. According to data from OpenAlex, Denis Danthine has authored 8 papers receiving a total of 209 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Pulmonary and Respiratory Medicine and 2 papers in Obstetrics and Gynecology. Recurrent topics in Denis Danthine's work include Radiomics and Machine Learning in Medical Imaging (5 papers), COVID-19 diagnosis using AI (3 papers) and Sarcoma Diagnosis and Treatment (1 paper). Denis Danthine is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), COVID-19 diagnosis using AI (3 papers) and Sarcoma Diagnosis and Treatment (1 paper). Denis Danthine collaborates with scholars based in Belgium, Netherlands and Ireland. Denis Danthine's co-authors include Akshayaa Vaidyanathan, Ralph T. H. Leijenaar, Wim Vos, Louis Deprez, Seán Walsh, Pierre Lovinfosse, Julien Guiot, Philippe Lambin, Fadila Zerka and Benjamin Miraglio and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Medicinal Research Reviews.

In The Last Decade

Denis Danthine

7 papers receiving 208 citations

Hit Papers

align trajectories

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
Denis Danthine Belgium	3	162	66	43	29	24	8	209
Louis Deprez Belgium	2	160 1.0×	63 1.0×	43 1.0×	29 1.0×	23 1.0×	8	202
Nathan Tsoutzidis Netherlands	2	157 1.0×	63 1.0×	43 1.0×	29 1.0×	21 0.9×	3	194
Salvatore Claudio Fanni Italy	9	220 1.4×	69 1.0×	89 2.1×	52 1.8×	21 0.9×	36	276
Iva Halilaj Netherlands	5	215 1.3×	86 1.3×	69 1.6×	50 1.7×	63 2.6×	12	267
Dhakshinamoorthy Ganeshan United States	5	192 1.2×	71 1.1×	46 1.1×	15 0.5×	31 1.3×	8	283
Zongrui Ma China	8	192 1.2×	79 1.2×	58 1.3×	25 0.9×	34 1.4×	13	236
Nicolette Taku United States	11	166 1.0×	103 1.6×	45 1.0×	60 2.1×	26 1.1×	23	353
Mattia Zaffaroni Italy	8	131 0.8×	100 1.5×	37 0.9×	41 1.4×	28 1.2×	45	265
William Rogers United States	5	222 1.4×	105 1.6×	63 1.5×	45 1.6×	39 1.6×	12	291

Countries citing papers authored by Denis Danthine

Since Specialization

Citations

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

Fields of papers citing papers by Denis Danthine

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Denis Danthine

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Danthine, Denis, et al.. (2024). A Case of a Giant Siliconoma Mimicking Localized Breast Cancer. SHILAP Revista de lepidopterología. 108(1). 74–74.

2.

Danthine, Denis, et al.. (2024). Congenital Abnormalities Causing Hematocolpos: A Pictorial Essay. SHILAP Revista de lepidopterología. 108(1). 84–84. 1 indexed citations

3.

Danthine, Denis, Katty Delbecque, Frédéric Goffin, et al.. (2024). Lymph node assessment in cervical cancer: current approaches. Frontiers in Oncology. 14. 1435532–1435532. 2 indexed citations

4.

Leijenaar, Ralph T. H., Seán Walsh, Akshayaa Vaidyanathan, et al.. (2023). External validation of a radiomic signature to predict p16 (HPV) status from standard CT images of anal cancer patients. Scientific Reports. 13(1). 7198–7198. 6 indexed citations

5.

Vaidyanathan, Akshayaa, Julien Guiot, Fadila Zerka, et al.. (2022). An externally validated fully automated deep learning algorithm to classify COVID-19 and other pneumonias on chest computed tomography. ERJ Open Research. 8(2). 579–2021. 6 indexed citations

6.

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 →

7.

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

8.

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

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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