Razvan L. Miclea

536 total citations
20 papers, 329 citations indexed

About

Razvan L. Miclea is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Razvan L. Miclea has authored 20 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Molecular Biology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Razvan L. Miclea's work include Wnt/β-catenin signaling in development and cancer (6 papers), Cancer-related gene regulation (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Razvan L. Miclea is often cited by papers focused on Wnt/β-catenin signaling in development and cancer (6 papers), Cancer-related gene regulation (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Razvan L. Miclea collaborates with scholars based in Netherlands, United States and Belgium. Razvan L. Miclea's co-authors include Marcel Karperien, Jan M. Wit, Els C. Robanus-Maandag, Ellie Landman, Clemens W.G.M. Löwik, Clemens van Blitterswijk, Wilma Oostdijk, Bin Ma, Geertje van der Horst and Janine N. Post and has published in prestigious journals such as Bioresource Technology, Endocrinology and Journal of Bone and Mineral Research.

In The Last Decade

Razvan L. Miclea

18 papers receiving 323 citations

Peers

Razvan L. Miclea
Cristal S. Yee United States
Juliane Heilig Germany
Peter LEM van Lent Netherlands
Mina Okamoto Japan
Yuki Etani Japan
Xinfeng Yan China
Woong Hahn South Korea
Fanny Coudane France
Angela Mahoney United States
Yozo Katsuragawa Japan
Cristal S. Yee United States
Razvan L. Miclea
Citations per year, relative to Razvan L. Miclea Razvan L. Miclea (= 1×) peers Cristal S. Yee

Countries citing papers authored by Razvan L. Miclea

Since Specialization
Citations

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

Fields of papers citing papers by Razvan L. Miclea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Razvan L. Miclea. 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 Razvan L. Miclea. The network helps show where Razvan L. Miclea may publish in the future.

Co-authorship network of co-authors of Razvan L. Miclea

This figure shows the co-authorship network connecting the top 25 collaborators of Razvan L. Miclea. A scholar is included among the top collaborators of Razvan L. Miclea 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 Razvan L. Miclea. Razvan L. Miclea 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.
Hendriks, Babs M.F., Casper Mihl, Razvan L. Miclea, et al.. (2024). How subjective CT image quality assessment becomes surprisingly reliable: pairwise comparisons instead of Likert scale. European Radiology. 34(7). 4494–4503. 6 indexed citations
2.
Willemssen, François E.J.A., Razvan L. Miclea, Martijn P. D. Haring, et al.. (2024). Lesions hyper- to isointense to surrounding liver in the hepatobiliary phase of gadoxetic acid-enhanced MRI. European Radiology. 34(12). 7661–7672.
3.
Oddens, Jorg R., Arnoud W. Postema, Razvan L. Miclea, et al.. (2024). Is There an Added Value of Quantitative DCE-MRI by Magnetic Resonance Dispersion Imaging for Prostate Cancer Diagnosis?. Cancers. 16(13). 2431–2431. 1 indexed citations
4.
Starmans, Martijn P. A., Razvan L. Miclea, Valérie Vilgrain, et al.. (2023). Automated Assessment of T2-Weighted MRI to Differentiate Malignant and Benign Primary Solid Liver Lesions in Noncirrhotic Livers Using Radiomics. Academic Radiology. 31(3). 870–879. 6 indexed citations
5.
Hendriks, Lizza, Razvan L. Miclea, Hester A. Gietema, et al.. (2022). 106P Generation of synthetic ground glass opacities (GGOs) using generative adversarial networks (GANs). Annals of Oncology. 33. S80–S80.
6.
Wang, Zhixiang, Zhen Zhang, Ying Feng, et al.. (2022). Generation of synthetic ground glass nodules using generative adversarial networks (GANs). European Radiology Experimental. 6(1). 59–59. 2 indexed citations
7.
Kirkegård, Jakob, Svein Olav Bratlie, Mariëlle M.E. Coolsen, et al.. (2021). Intra‐observer agreements in multidisciplinary team assessments of pancreatic cancer patients. Journal of Surgical Oncology. 124(8). 1402–1408. 5 indexed citations
8.
Ibrahim, Abdalla, Turkey Refaee, Sergey Primakov, et al.. (2021). Reproducibility of CT-Based Hepatocellular Carcinoma Radiomic Features across Different Contrast Imaging Phases: A Proof of Concept on SORAMIC Trial Data. Cancers. 13(18). 4638–4638. 14 indexed citations
9.
10.
Starmans, Martijn P. A., Stefan Klein, Sebastian R. van der Voort, et al.. (2018). Classification of malignant and benign liver tumors using a radiomics approach. Pure Amsterdam UMC. 48–48. 16 indexed citations
11.
Molen, Aart J. van der, Razvan L. Miclea, Jacob Geleijns, & Raoul M. S. Joemai. (2015). A Survey of Radiation Doses in CT Urography Before and After Implementation of Iterative Reconstruction. American Journal of Roentgenology. 205(3). 572–577. 11 indexed citations
12.
Landman, Ellie, Razvan L. Miclea, Clemens van Blitterswijk, & Marcel Karperien. (2013). Small molecule inhibitors of WNT/beta-catenin signaling block IL-1 beta- and TNF alpha-induced cartilage degradation. Bioresource Technology. 15(4). 334–340. 3 indexed citations
13.
Landman, Ellie, Razvan L. Miclea, Clemens van Blitterswijk, & Marcel Karperien. (2013). Small molecule inhibitors of WNT/β-catenin signaling block IL-1β- and TNFα-induced cartilage degradation. Arthritis Research & Therapy. 15(4). R93–R93. 30 indexed citations
14.
Ma, Bin, Ellie Landman, Razvan L. Miclea, et al.. (2012). WNT Signaling and Cartilage: Of Mice and Men. Calcified Tissue International. 92(5). 399–411. 45 indexed citations
15.
Miclea, Razvan L., M. Siebelt, Livio Finos, et al.. (2011). Inhibition of Gsk3β in cartilage induces osteoarthritic features through activation of the canonical Wnt signaling pathway. Osteoarthritis and Cartilage. 19(11). 1363–1372. 53 indexed citations
16.
Miclea, Razvan L., Geertje van der Horst, Els C. Robanus-Maandag, et al.. (2011). Apc bridges Wnt/β-catenin and BMP signaling during osteoblast differentiation of KS483 cells. Experimental Cell Research. 317(10). 1411–1421. 14 indexed citations
17.
Hendriks, Jeanine, Razvan L. Miclea, Roka Schotel, et al.. (2010). Primary chondrocytes enhance cartilage tissue formation upon co-culture with a range of cell types. Soft Matter. 6(20). 5080–5080. 34 indexed citations
18.
Miclea, Razvan L., Marcel Karperien, Alexandra M. J. Langers, et al.. (2010). APC mutations are associated with increased bone mineral density in patients with familial adenomatous polyposis. Journal of Bone and Mineral Research. 25(12). 2624–2632. 20 indexed citations
19.
Miclea, Razvan L., Marcel Karperien, Cathy A.J. Bosch, et al.. (2009). Adenomatous polyposis coli-mediated control of β-catenin is essential for both chondrogenic and osteogenic differentiation of skeletal precursors. BMC Developmental Biology. 9(1). 26–26. 47 indexed citations
20.
Parlevliet, Edwin T., et al.. (2006). Novel Early Target Genes of Parathyroid Hormone-Related Peptide in Chondrocytes. Endocrinology. 147(6). 3141–3152. 17 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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