Marcel J. M. Schaaf

5.5k total citations
77 papers, 4.2k citations indexed

About

Marcel J. M. Schaaf is a scholar working on Cell Biology, Molecular Biology and Behavioral Neuroscience. According to data from OpenAlex, Marcel J. M. Schaaf has authored 77 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cell Biology, 21 papers in Molecular Biology and 18 papers in Behavioral Neuroscience. Recurrent topics in Marcel J. M. Schaaf's work include Zebrafish Biomedical Research Applications (28 papers), Stress Responses and Cortisol (18 papers) and Estrogen and related hormone effects (18 papers). Marcel J. M. Schaaf is often cited by papers focused on Zebrafish Biomedical Research Applications (28 papers), Stress Responses and Cortisol (18 papers) and Estrogen and related hormone effects (18 papers). Marcel J. M. Schaaf collaborates with scholars based in Netherlands, United States and United Kingdom. Marcel J. M. Schaaf's co-authors include E. R. de Kloet, John A. Cidlowski, Erno Vreugdenhil, Annemarie H. Meijer, Herman P. Spaink, Roel H. DeRijk, Jeannette de Jong, Christian Tudorache, Yufei Xie and Rob W.M. Hoetelmans and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Marcel J. M. Schaaf

74 papers receiving 4.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcel J. M. Schaaf Netherlands 36 1.0k 953 665 624 613 77 4.2k
Stuart Tobet United States 46 753 0.7× 1.4k 1.5× 561 0.8× 563 0.9× 1.1k 1.7× 170 5.8k
Nicole A. Datson Netherlands 35 1.1k 1.1× 1.9k 2.0× 699 1.1× 207 0.3× 596 1.0× 72 4.1k
Elisabetta Baldi Italy 58 550 0.5× 2.2k 2.3× 808 1.2× 690 1.1× 1.7k 2.8× 253 9.9k
Hirotaka Sakamoto Japan 33 484 0.5× 876 0.9× 414 0.6× 197 0.3× 988 1.6× 145 3.9k
Audrey F. Seasholtz United States 36 1.8k 1.7× 1.4k 1.4× 1.0k 1.5× 217 0.3× 880 1.4× 69 4.2k
Bianca Marchetti Italy 41 499 0.5× 1.7k 1.8× 427 0.6× 665 1.1× 1.4k 2.4× 120 4.9k
Artur Mayerhofer Germany 44 378 0.4× 2.0k 2.1× 757 1.1× 961 1.5× 782 1.3× 225 6.6k
Ola Hermanson Sweden 40 448 0.4× 2.8k 2.9× 372 0.6× 215 0.3× 1.1k 1.8× 93 5.4k
John F. Morris United Kingdom 45 572 0.6× 2.5k 2.6× 810 1.2× 702 1.1× 1.2k 1.9× 160 6.3k
Danielle L. Champagne Netherlands 28 1.2k 1.2× 681 0.7× 193 0.3× 213 0.3× 409 0.7× 35 3.8k

Countries citing papers authored by Marcel J. M. Schaaf

Since Specialization
Citations

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

Fields of papers citing papers by Marcel J. M. Schaaf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcel J. M. Schaaf. 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 Marcel J. M. Schaaf. The network helps show where Marcel J. M. Schaaf may publish in the future.

Co-authorship network of co-authors of Marcel J. M. Schaaf

This figure shows the co-authorship network connecting the top 25 collaborators of Marcel J. M. Schaaf. A scholar is included among the top collaborators of Marcel J. M. Schaaf 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 Marcel J. M. Schaaf. Marcel J. M. Schaaf 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.
Faught, Erin, Ingeborg Klaassen, Lisa L. Koorneef, et al.. (2025). The glucocorticoid receptor is affected by its target ZBTB16 in a dissociated manner. Journal of Endocrinology. 266(1). 1 indexed citations
2.
Schaaf, Marcel J. M., et al.. (2025). Risk taking behaviour predicts consistent and heritable coping styles in zebrafish. BMC Neuroscience. 26(1). 25–25.
3.
López‐Gonzálvez, Ángeles, et al.. (2023). Application of a capillary electrophoresis–mass spectrometry metabolomics workflow in zebrafish larvae reveals new effects of cortisol. Electrophoresis. 45(5-6). 380–391. 1 indexed citations
4.
Schaaf, Marcel J. M., et al.. (2023). The Mineralocorticoid Receptor Plays a Crucial Role in Macrophage Development and Function. Endocrinology. 164(10). 7 indexed citations
5.
6.
Schaaf, Marcel J. M., et al.. (2022). Detailed Analysis of Zebrafish Larval Behaviour in the Light Dark Challenge Assay Shows That Diel Hatching Time Determines Individual Variation. Frontiers in Physiology. 13. 827282–827282. 16 indexed citations
7.
Xiong, Yin, Yiming Zhang, Marcel J. M. Schaaf, et al.. (2022). Steamed Panax notoginseng and its Saponins Inhibit the Migration and Induce the Apoptosis of Neutrophils in a Zebrafish Tail-Fin Amputation Model. Frontiers in Pharmacology. 13. 946900–946900. 10 indexed citations
8.
Noort, John van, et al.. (2021). Analysis of the H-Ras mobility pattern in vivo shows cellular heterogeneity inside epidermal tissue. Disease Models & Mechanisms. 15(2). 1 indexed citations
9.
Xie, Yufei, Jiajun Xie, Annemarie H. Meijer, & Marcel J. M. Schaaf. (2021). Glucocorticoid-Induced Exacerbation of Mycobacterial Infection Is Associated With a Reduced Phagocytic Capacity of Macrophages. Frontiers in Immunology. 12. 618569–618569. 16 indexed citations
10.
Slabbekoorn, Hans, et al.. (2020). The role of the Glucocorticoid Receptor in the Regulation of Diel Rhythmicity. Physiology & Behavior. 223. 112991–112991. 11 indexed citations
11.
12.
Puyskens, Andreas, Michiel van der Vaart, Annika Kreuchwig, et al.. (2019). Aryl Hydrocarbon Receptor Modulation by Tuberculosis Drugs Impairs Host Defense and Treatment Outcomes. Cell Host & Microbe. 27(2). 238–248.e7. 33 indexed citations
13.
Schaaf, Marcel J. M., et al.. (2016). Background Suppression in Imaging Gold Nanorods through Detection of Anti-Stokes Emission. Biophysical Journal. 111(11). 2492–2499. 16 indexed citations
14.
Groeneweg, Femke, Martin E. van Royen, Susanne F. Fenz, et al.. (2014). Quantitation of Glucocorticoid Receptor DNA-Binding Dynamics by Single-Molecule Microscopy and FRAP. PLoS ONE. 9(3). e90532–e90532. 48 indexed citations
15.
Tudorache, Christian, et al.. (2014). Behavioral and physiological indicators of stress coping styles in larval zebrafish. Stress. 18(1). 121–128. 44 indexed citations
16.
Tudorache, Christian, Marcel J. M. Schaaf, & Hans Slabbekoorn. (2013). Covariation between behaviour and physiology indicators of coping style in zebrafish (Danio rerio). Journal of Endocrinology. 219(3). 251–258. 64 indexed citations
17.
Sarabdjitsingh, R. Angela, Onno C. Meijer, Marcel J. M. Schaaf, & E. R. de Kloet. (2008). Subregion-specific differences in translocation patterns of mineralocorticoid and glucocorticoid receptors in rat hippocampus. Brain Research. 1249. 43–53. 54 indexed citations
18.
Fitzsimons, Carlos P., Suaad Ahmed, Theo Schouten, et al.. (2007). The Microtubule-Associated Protein Doublecortin-Like Regulates the Transport of the Glucocorticoid Receptor in Neuronal Progenitor Cells. Molecular Endocrinology. 22(2). 248–262. 40 indexed citations
19.
Schaaf, Marcel J. M., et al.. (2006). The Relationship between Intranuclear Mobility of the NF-κB Subunit p65 and Its DNA Binding Affinity. Journal of Biological Chemistry. 281(31). 22409–22420. 22 indexed citations
20.
Schaaf, Marcel J. M., et al.. (2000). Circadian variation in BDNF mRNA expression in the rat hippocampus. Molecular Brain Research. 75(2). 342–344. 65 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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