Uwe Himmelreich

13.5k total citations · 2 hit papers
344 papers, 9.0k citations indexed

About

Uwe Himmelreich is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Uwe Himmelreich has authored 344 papers receiving a total of 9.0k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Molecular Biology, 79 papers in Radiology, Nuclear Medicine and Imaging and 55 papers in Biomedical Engineering. Recurrent topics in Uwe Himmelreich's work include Advanced MRI Techniques and Applications (53 papers), Nanoparticle-Based Drug Delivery (32 papers) and Antifungal resistance and susceptibility (28 papers). Uwe Himmelreich is often cited by papers focused on Advanced MRI Techniques and Applications (53 papers), Nanoparticle-Based Drug Delivery (32 papers) and Antifungal resistance and susceptibility (28 papers). Uwe Himmelreich collaborates with scholars based in Belgium, Germany and United States. Uwe Himmelreich's co-authors include Stefaan J. Soenen, Tom Dresselaers, Greetje Vande Velde, Fred A. Hamprecht, Wolfgang Petrich, B. Michael Kelm, Peter Bachert, Bjoern Menze, Marcel De Cuyper and Nele Nuytten and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Nano Letters.

In The Last Decade

Uwe Himmelreich

331 papers receiving 8.9k citations

Hit Papers

A comparison of random forest and its Gini importance wit... 2009 2026 2014 2020 2009 2022 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Uwe Himmelreich Belgium 47 2.4k 1.5k 1.5k 1.1k 1.1k 344 9.0k
Zhen Li China 49 3.0k 1.3× 1.6k 1.0× 1.4k 0.9× 991 0.9× 1.5k 1.4× 713 11.8k
Xiaohui Zhang China 54 2.5k 1.0× 352 0.2× 1.6k 1.1× 1.0k 0.9× 721 0.7× 829 15.3k
Shuk Han Cheng Hong Kong 59 4.0k 1.6× 602 0.4× 2.2k 1.4× 735 0.7× 560 0.5× 279 12.1k
Xiaoyan Zhang China 57 5.6k 2.3× 1.0k 0.7× 1.1k 0.7× 1.2k 1.0× 504 0.5× 534 14.6k
Jue Zhang China 55 2.8k 1.2× 4.1k 2.7× 2.0k 1.3× 674 0.6× 691 0.7× 461 12.6k
Bing Yao China 60 4.6k 1.9× 775 0.5× 1.0k 0.7× 706 0.6× 296 0.3× 505 14.6k
Wei Li China 54 3.1k 1.3× 2.8k 1.8× 1.1k 0.7× 422 0.4× 300 0.3× 416 11.0k
Gang Chen China 56 4.9k 2.0× 961 0.6× 1.1k 0.7× 1.0k 0.9× 244 0.2× 512 13.0k
Jeong Hun Kim South Korea 56 4.2k 1.8× 1.6k 1.1× 1.2k 0.8× 583 0.5× 481 0.5× 412 11.0k
Chong Gao China 58 3.0k 1.2× 310 0.2× 1.4k 0.9× 523 0.5× 651 0.6× 645 14.3k

Countries citing papers authored by Uwe Himmelreich

Since Specialization
Citations

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

Fields of papers citing papers by Uwe Himmelreich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uwe Himmelreich

This figure shows the co-authorship network connecting the top 25 collaborators of Uwe Himmelreich. A scholar is included among the top collaborators of Uwe Himmelreich 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 Uwe Himmelreich. Uwe Himmelreich 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
2.
Velde, Sam Van de, Hans Carolus, Paul Vandecruys, et al.. (2025). Accumulation of Trehalose 6-Phosphate in Candidozyma auris results in Decreased Echinocandin Resistance and Tolerance. Nature Communications. 17(1). 311–311.
4.
Toumia, Yosra, Gaio Paradossi, Jan D’hooge, et al.. (2024). A Preliminary Investigation of Radiation-Sensitive Ultrasound Contrast Agents for Photon Dosimetry. Pharmaceuticals. 17(5). 629–629.
5.
Gsell, Willy, Sarah Belderbos, Jens Wouters, et al.. (2023). A multimodal imaging study to highlight elastin-derived peptide pro-tumoral effect in a pancreatic xenograft model. British Journal of Cancer. 128(11). 2000–2012. 5 indexed citations
7.
González‐Gómez, Manuel A., Sarah Belderbos, Willy Gsell, et al.. (2021). Biocompatible magnetic gelatin nanoparticles with enhanced MRI contrast performance prepared by single-step desolvation method. Nano Express. 2(2). 20011–20011. 11 indexed citations
8.
Callaerts‐Vegh, Zsuzsanna, Mieke Verslegers, Ann Van der Jeugd, et al.. (2021). Prenatal radiation exposure leads to higher-order telencephalic dysfunctions in adult mice that coincide with reduced synaptic plasticity and cerebral hypersynchrony. Cerebral Cortex. 32(16). 3525–3541. 3 indexed citations
9.
Albersen, Maarten, Uroš Milenković, Herlinde Dumez, et al.. (2020). Establishment, characterization and imaging of a first platinum-resistant penile cancer patient derived xenograft in nude mice: An eUROGEN project. European Urology Open Science. 19. e293–e294. 1 indexed citations
10.
Belderbos, Sarah, Manuel A. González‐Gómez, Frederik Cleeren, et al.. (2020). Simultaneous in vivo PET/MRI using fluorine-18 labeled Fe3O4@Al(OH)3 nanoparticles: comparison of nanoparticle and nanoparticle-labeled stem cell distribution. EJNMMI Research. 10(1). 73–73. 35 indexed citations
11.
Toumia, Yosra, Gaio Paradossi, Emiliano D’Agostino, et al.. (2020). Proton range verification with ultrasound imaging using injectable radiation sensitive nanodroplets: a feasibility study. Physics in Medicine and Biology. 65(6). 65013–65013. 26 indexed citations
12.
Dresselaers, Tom, et al.. (2019). Quantitative Assessment of Age-Associated Alterations in Brain Vasculature in Wild-Type Mice and in Bigenic Mice that Model Alzheimer’s Disease. Molecular Imaging and Biology. 22(3). 578–586. 1 indexed citations
13.
Beerens, Manu, Xabier L. Aranguren, Benoit Hendrickx, et al.. (2018). Multipotent Adult Progenitor Cells Support Lymphatic Regeneration at Multiple Anatomical Levels during Wound Healing and Lymphedema. Scientific Reports. 8(1). 3852–3852. 26 indexed citations
14.
Manshian, Bella B., Thomas Martens, Karsten Kantner, et al.. (2017). The role of intracellular trafficking of CdSe/ZnS QDs on their consequent toxicity profile. Journal of Nanobiotechnology. 15(1). 45–45. 37 indexed citations
15.
16.
Oosterlinck, Wouter, Tom Dresselaers, Vincent Geldhof, et al.. (2012). Improved Left Ventricular Regional Contractility Pattern after Ischemic Postconditioning. Lirias (KU Leuven). 1 indexed citations
17.
Li, Junjie, Marlein Miranda Cona, Feng Chen, et al.. (2012). Exploring Theranostic Potentials of Radioiodinated Hypericin in Rodent Necrosis Models. Theranostics. 2(10). 1010–1019. 43 indexed citations
18.
Hul, Matthias Van, Dries Bauters, Uwe Himmelreich, et al.. (2011). Effect of gelatinase inhibition on adipogenesis and adipose tissue development. Clinical and Experimental Pharmacology and Physiology. 39(1). 49–56. 17 indexed citations
19.
Miletić, Hrvoje, Yvonne Fischer, Sara A. Litwak, et al.. (2007). Bystander Killing of Malignant Glioma by Bone Marrow–derived Tumor-Infiltrating Progenitor Cells Expressing a Suicide Gene. Molecular Therapy. 15(7). 1373–1381. 116 indexed citations
20.
Mountford, Carolyn E., Peter Malycha, Cynthia L. Lean, et al.. (2003). Is Magnetic Resonance Spectroscopy the new gold standard for breast cancer diagnosis. European Radiology. 13(9). 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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