Maarten Spinhoven

500 total citations
25 papers, 287 citations indexed

About

Maarten Spinhoven is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Maarten Spinhoven has authored 25 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Surgery, 11 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Maarten Spinhoven's work include Lung Cancer Diagnosis and Treatment (9 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Medical Imaging Techniques and Applications (5 papers). Maarten Spinhoven is often cited by papers focused on Lung Cancer Diagnosis and Treatment (9 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Medical Imaging Techniques and Applications (5 papers). Maarten Spinhoven collaborates with scholars based in Belgium and Netherlands. Maarten Spinhoven's co-authors include Paul M. Parizel, Annemie Snoeckx, Jan P. van Meerbeeck, Paul Van Schil, Sven Francque, Laurens Carp, Wilhelmus J. Kwanten, Christophe De Block, Patrick Pauwels and Ann Driessen and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Respiratory Journal and Frontiers in Pharmacology.

In The Last Decade

Maarten Spinhoven

25 papers receiving 285 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maarten Spinhoven Belgium 8 177 115 65 46 33 25 287
Fu‐shun Pan China 12 120 0.7× 79 0.7× 144 2.2× 59 1.3× 43 1.3× 28 363
Vittorio Aprile Italy 14 208 1.2× 42 0.4× 72 1.1× 54 1.2× 49 1.5× 48 350
Franz Josef Putz Germany 11 53 0.3× 61 0.5× 74 1.1× 44 1.0× 18 0.5× 25 233
A. Negri Italy 9 134 0.8× 254 2.2× 38 0.6× 21 0.5× 31 0.9× 24 357
Francesca Botta Italy 7 52 0.3× 79 0.7× 124 1.9× 60 1.3× 23 0.7× 11 296
Daphnée Villoing France 11 142 0.8× 239 2.1× 30 0.5× 24 0.5× 87 2.6× 28 390
Zhuoyue Tang China 9 49 0.3× 214 1.9× 54 0.8× 84 1.8× 17 0.5× 31 343
Piotr Obara United States 10 186 1.1× 154 1.3× 119 1.8× 25 0.5× 7 0.2× 21 359
Wenshuo Tian China 10 106 0.6× 142 1.2× 116 1.8× 83 1.8× 17 0.5× 17 330
Sukhjeet Ahuja United States 6 48 0.3× 125 1.1× 38 0.6× 11 0.2× 56 1.7× 10 198

Countries citing papers authored by Maarten Spinhoven

Since Specialization
Citations

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

Fields of papers citing papers by Maarten Spinhoven

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maarten Spinhoven

This figure shows the co-authorship network connecting the top 25 collaborators of Maarten Spinhoven. A scholar is included among the top collaborators of Maarten Spinhoven 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 Maarten Spinhoven. Maarten Spinhoven 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.
Spinhoven, Maarten, et al.. (2024). Ventral mesh rectopexy. Does a descending perineum impact functional results and quality of life?. Langenbeck s Archives of Surgery. 409(1). 44–44. 1 indexed citations
2.
Zanca, Federica, Dimitri Buytaert, Maarten Niekel, et al.. (2024). Impact of deep learning image reconstruction on volumetric accuracy and image quality of pulmonary nodules with different morphologies in low-dose CT. Cancer Imaging. 24(1). 60–60. 3 indexed citations
3.
Weyler, Jonas, Eveline Dirinck, Luisa Vonghia, et al.. (2023). Prevalence, risk factors and diagnostic accuracy of non-invasive tests for NAFLD in people with type 1 diabetes. JHEP Reports. 5(7). 100753–100753. 23 indexed citations
5.
Haine, Steven, et al.. (2021). Life-Saving Emergency Adrenalectomy in a Pheochromocytoma Crisis with Cardiogenic Shock. SHILAP Revista de lepidopterología. 2021. 1–4. 3 indexed citations
6.
Chapelle, T., Bart Op de Beeck, B. Bracke, et al.. (2021). Is Stereotactic Microwave Ablation of Resectable Colorectal Liver Metastasis an Alternative for Liver Resection in Covid19 Pandemic?. HPB. 23. S737–S738. 1 indexed citations
7.
Snoeckx, Annemiek, et al.. (2021). PULMONARY NODULE DETECTION IN CHEST CT USING A DEEP LEARNING-BASED RECONSTRUCTION ALGORITHM. Radiation Protection Dosimetry. 195(3-4). 158–163. 12 indexed citations
8.
Block, Christophe De, et al.. (2021). Hepatopathy Associated With Type 1 Diabetes: Distinguishing Non-alcoholic Fatty Liver Disease From Glycogenic Hepatopathy. Frontiers in Pharmacology. 12. 768576–768576. 23 indexed citations
9.
Snoeckx, Annemiek, Maarten Spinhoven, Annelies Van Eyck, et al.. (2020). Functional respiratory imaging provides novel insights into the long-term respiratory sequelae of bronchopulmonary dysplasia. European Respiratory Journal. 57(6). 2002110–2002110. 7 indexed citations
10.
Snoeckx, Annemiek, et al.. (2020). Correlation Between Apparent Diffusion Coefficient Value on MRI and Histopathologic WHO Grades of Neuroendocrine Tumors. SHILAP Revista de lepidopterología. 104(1). 7–7. 7 indexed citations
11.
Snoeckx, Annemiek, et al.. (2019). Lesion measurement on a combined “all-in-one” window for chest CT: effect on intra- and interobserver variability. Cancer Imaging. 19(1). 78–78. 1 indexed citations
12.
Snoeckx, Annemiek, P. Vuylsteke, Bart J. G. Broeckx, et al.. (2019). Lesion detection on a combined “All-in-One” window compared to conventional window settings in thoracic oncology chest CT examinations. Diagnostic and Interventional Imaging. 101(1). 25–33. 3 indexed citations
13.
Snoeckx, Annemie, Laurens Carp, Maarten Spinhoven, et al.. (2019). Diagnostic and clinical features of lung cancer associated with cystic airspaces. Journal of Thoracic Disease. 11(3). 987–1004. 38 indexed citations
14.
Ysebaert, Dirk, et al.. (2018). Bilateral adrenal haemorrhage after a high energetic trauma: a case report and review of current literature. Acta chirurgica Belgica. 120(2). 131–135. 2 indexed citations
15.
Snoeckx, Annemiek, P. Vuylsteke, Bart J. G. Broeckx, et al.. (2018). P2.01-92 “All-In-One” Window: A New Way of Looking at Chest CT Studies in Thoracic Oncology. Journal of Thoracic Oncology. 13(10). S700–S700. 1 indexed citations
16.
Hiddinga, Birgitta I., Maarten Spinhoven, Annelies Janssens, et al.. (2018). Imaging of urgencies and emergencies in the lung cancer patient. Insights into Imaging. 9(4). 463–476. 11 indexed citations
17.
Snoeckx, Annemie, Patrick Pauwels, Paul E. Van Schil, et al.. (2017). Radiologic-Pathologic Correlation in Lung Cancer Presenting as a Subsolid Nodule: Room for Improvement?. 2(1). 2 indexed citations
18.
Snoeckx, Annemie, Amélie Dendooven, Laurens Carp, et al.. (2017). Wolf in Sheep’s Clothing: Primary Lung Cancer Mimicking Benign Entities. Lung Cancer. 112. 109–117. 14 indexed citations
19.
Snoeckx, Annemie, et al.. (2017). Evaluation of the solitary pulmonary nodule: size matters, but do not ignore the power of morphology. Insights into Imaging. 9(1). 73–86. 122 indexed citations
20.
Beeck, Bart Op de, et al.. (2008). Management of cystic pancreatic masses.. PubMed. 90(6). 482–6. 3 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026