Marc Müller

8.1k total citations · 2 hit papers
167 papers, 6.6k citations indexed

About

Marc Müller is a scholar working on Molecular Biology, Genetics and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Marc Müller has authored 167 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Molecular Biology, 41 papers in Genetics and 23 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Marc Müller's work include Estrogen and related hormone effects (19 papers), Growth Hormone and Insulin-like Growth Factors (16 papers) and Effects and risks of endocrine disrupting chemicals (16 papers). Marc Müller is often cited by papers focused on Estrogen and related hormone effects (19 papers), Growth Hormone and Insulin-like Growth Factors (16 papers) and Effects and risks of endocrine disrupting chemicals (16 papers). Marc Müller collaborates with scholars based in Belgium, Germany and France. Marc Müller's co-authors include Rainer Renkawitz, Anitha Ethirajan, Bert Conings, Aslihan Babayigit, Roland Schüle, Joseph Martial, Christian Kaltschmidt, Aria Baniahmad, Hidetsugu Otsuka-Murakami and Christof Steiner and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Marc Müller

163 papers receiving 6.5k citations

Hit Papers

Toxicity of organometal halide perovskite solar cells 2016 2026 2019 2022 2016 2016 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marc Müller Belgium 34 2.5k 1.6k 1.3k 1.3k 629 167 6.6k
Yanhong Shi United States 52 7.5k 3.0× 1.4k 0.9× 400 0.3× 1.4k 1.1× 217 0.3× 174 11.9k
Chunming Liu China 50 5.0k 2.0× 863 0.5× 861 0.7× 769 0.6× 59 0.1× 232 10.5k
Ken‐Ichi Sano Japan 27 4.4k 1.7× 293 0.2× 342 0.3× 376 0.3× 377 0.6× 119 7.1k
Jae Il Kim South Korea 45 3.7k 1.5× 498 0.3× 506 0.4× 653 0.5× 93 0.1× 163 6.2k
Qun Li China 55 3.5k 1.4× 1.3k 0.8× 544 0.4× 1.1k 0.9× 136 0.2× 225 10.4k
Yu Xia China 47 3.6k 1.4× 377 0.2× 805 0.6× 351 0.3× 107 0.2× 175 8.3k
Lisa Ellerby United States 51 9.3k 3.7× 370 0.2× 458 0.4× 519 0.4× 107 0.2× 113 13.5k
Lin Li China 47 4.8k 1.9× 321 0.2× 537 0.4× 457 0.4× 116 0.2× 250 7.6k
Saman Hosseinkhani Iran 44 4.7k 1.9× 454 0.3× 1.4k 1.1× 249 0.2× 43 0.1× 355 7.1k
Yin Zhang China 40 2.5k 1.0× 178 0.1× 1.0k 0.8× 274 0.2× 292 0.5× 167 6.1k

Countries citing papers authored by Marc Müller

Since Specialization
Citations

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

Fields of papers citing papers by Marc Müller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Müller

This figure shows the co-authorship network connecting the top 25 collaborators of Marc Müller. A scholar is included among the top collaborators of Marc Müller 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 Marc Müller. Marc Müller 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.
Czaplewska, Paulina, Marc Müller, Marcin Okrój, et al.. (2024). Preliminary proteomic analysis of mouse lung tissue treated with cyclophosphamide and Venetin-1. Scientific Reports. 14(1). 25056–25056.
2.
Müller, Marc, et al.. (2024). Exploring estrogen antagonism using CRISPR/Cas9 to generate specific mutants for each of the receptors. Chemosphere. 364. 143100–143100. 1 indexed citations
3.
Oelschlaeger, Claude, et al.. (2024). Ionic strength effect on the structure and dynamics of colloidal dispersions with weak attractive interactions. Colloids and Surfaces A Physicochemical and Engineering Aspects. 700. 134694–134694. 2 indexed citations
4.
Thanh, Dinh Duy, et al.. (2024). The food dye Tartrazine disrupts vascular formation both in zebrafish larvae and in human primary endothelial cells. Scientific Reports. 14(1). 30367–30367. 3 indexed citations
6.
Müller, Marc, et al.. (2023). 844P Progression -free survival prediction of multiple myeloma patients in five European countries using machine learning models. Annals of Oncology. 34. S550–S550. 1 indexed citations
7.
Huysseune, Ann, et al.. (2023). Bone Formation in Zebrafish: The Significance of DAF-FM DA Staining for Nitric Oxide Detection. Biomolecules. 13(12). 1780–1780. 4 indexed citations
8.
Huy, Nguyễn Quang, Hai The Pham, Marc Müller, et al.. (2021). Toxicity and Anti-Proliferative Properties of Anisomeles indica Ethanol Extract on Cervical Cancer HeLa Cells and Zebrafish Embryos. Life. 11(3). 257–257. 9 indexed citations
9.
Scippo, Marie‐Louise, et al.. (2020). Elucidating the aryl hydrocarbon receptor antagonism from a chemical-structural perspective. SAR and QSAR in environmental research. 31(3). 209–226. 8 indexed citations
11.
Vandaele, Rémy, Marc Müller, Frédérique Peronnet, et al.. (2018). Landmark detection in 2D bioimages for geometric morphometrics: a multi-resolution tree-based approach. Scientific Reports. 8(1). 538–538. 31 indexed citations
12.
Jacquel, Arnaud, Nathalie Droin, Patrick Auberger, et al.. (2011). Leukemic cell xenograft in zebrafish embryo for investigating drug efficacy. Haematologica. 96(4). 612–616. 100 indexed citations
13.
Marée, Raphaël, et al.. (2010). Zebrafish as model in toxicology/pharmacology.. Open Repository and Bibliography (University of Liège). 2 indexed citations
14.
Cai, Kaiyong, Debra Phillips, Christopher T. Elliott, et al.. (2010). Removal of Androgens and Estrogens from Water by Reactive Materials. Journal of Water Resource and Protection. 2(11). 990–993. 1 indexed citations
15.
Sergent, Thérèse, et al.. (2007). ARYL HYDROCARBON RECEPTOR-MEDIATED AGONIST/ANTAGONIST/SYNERGIC ACTIVITIES OF FOOD POLYPHENOLS ARE SPECIES- AND TISSUE-DEPENDENT. Open Repository and Bibliography (University of Liège). 1 indexed citations
16.
Pendeville, Hélène, Nick Carpino, Jean‐Christophe Marine, et al.. (2001). The Ornithine Decarboxylase Gene Is Essential for Cell Survival during Early Murine Development. Molecular and Cellular Biology. 21(19). 6549–6558. 200 indexed citations
17.
Yaron, Z., et al.. (1997). Regulation of prolactin gene expression in fishes. Open Repository and Bibliography (University of Liège). 3 indexed citations
18.
Müller, Marc, et al.. (1991). Co-operative transactivation of steroid receptors. Open Repository and Bibliography (University of Liège). 7 indexed citations
19.
Müller, Marc, et al.. (1985). DNA methylation and expression of prolactin and growth hormone genes in a rat pituitary strain selected on steroid-depleted medium. Open Repository and Bibliography (University of Liège). 1 indexed citations
20.
Roose, Éric, et al.. (1975). Estimation des pertes par les eaux de ruissellement et de drainage des éléments fertilisants dans un sol de bananeraie du Sud de la Côte d'Ivoire. Fruits. 4 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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