Christian Mosimann

5.5k total citations
56 papers, 3.5k citations indexed

About

Christian Mosimann is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Christian Mosimann has authored 56 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 25 papers in Cell Biology and 8 papers in Genetics. Recurrent topics in Christian Mosimann's work include Congenital heart defects research (26 papers), Zebrafish Biomedical Research Applications (25 papers) and CRISPR and Genetic Engineering (11 papers). Christian Mosimann is often cited by papers focused on Congenital heart defects research (26 papers), Zebrafish Biomedical Research Applications (25 papers) and CRISPR and Genetic Engineering (11 papers). Christian Mosimann collaborates with scholars based in United States, Switzerland and Germany. Christian Mosimann's co-authors include Konrad Basler, George Hausmann, Leonard I. Zon, Charles K. Kaufman, Pulin Li, Alexa Burger, Emily K. Pugach, Owen J. Tamplin, Anastasia Felker and Karin D. Prummel and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Christian Mosimann

53 papers receiving 3.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christian Mosimann United States 30 2.7k 1.0k 395 373 335 56 3.5k
Norihiko Ohbayashi Japan 29 2.0k 0.7× 1.1k 1.1× 476 1.2× 244 0.7× 303 0.9× 59 2.8k
Akihiko Shimono Japan 31 3.2k 1.2× 895 0.9× 609 1.5× 384 1.0× 318 0.9× 50 4.3k
Akira Imamoto United States 21 2.3k 0.8× 629 0.6× 509 1.3× 355 1.0× 438 1.3× 36 3.1k
Anna Elisabetta Salcini Italy 28 3.8k 1.4× 1.4k 1.3× 462 1.2× 459 1.2× 267 0.8× 46 4.6k
Raman Sood United States 31 2.7k 1.0× 819 0.8× 714 1.8× 318 0.9× 575 1.7× 92 3.9k
Anming Meng China 40 3.9k 1.4× 1.2k 1.2× 804 2.0× 367 1.0× 431 1.3× 126 5.2k
Ma. Xenia G. Ilagan United States 18 3.2k 1.2× 477 0.5× 397 1.0× 579 1.6× 403 1.2× 27 4.3k
Pleasantine Mill United Kingdom 20 2.5k 0.9× 577 0.6× 814 2.1× 403 1.1× 197 0.6× 33 3.4k
Tohru Ishitani Japan 26 2.7k 1.0× 655 0.6× 311 0.8× 408 1.1× 428 1.3× 65 3.5k
André Bernards United States 30 2.3k 0.8× 1.1k 1.1× 314 0.8× 388 1.0× 293 0.9× 43 3.9k

Countries citing papers authored by Christian Mosimann

Since Specialization
Citations

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

Fields of papers citing papers by Christian Mosimann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian Mosimann

This figure shows the co-authorship network connecting the top 25 collaborators of Christian Mosimann. A scholar is included among the top collaborators of Christian Mosimann 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 Christian Mosimann. Christian Mosimann 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.
Mosimann, Christian, et al.. (2025). Genetic context of transgene insertion can influence neurodevelopment in zebrafish. Genetics. 231(3).
2.
Liu, Fang, Stephen C. Ekker, Karl J. Clark, et al.. (2025). Lineage labeling with zebrafish hand2 Cre and CreERT2 recombinase CRISPR knock‐ins. Developmental Dynamics. 255(1). 86–105. 2 indexed citations
3.
Nieuwenhuize, Susan, et al.. (2024). pIGLET : Safe harbor landing sites for reproducible and efficient transgenesis in zebrafish. Science Advances. 10(23). eadn6603–eadn6603. 6 indexed citations
4.
Heude, Églantine, Hugo Dutel, Karin D. Prummel, et al.. (2024). Co-option of neck muscles supported the vertebrate water-to-land transition. Nature Communications. 15(1). 10564–10564. 1 indexed citations
5.
Mannion, Brandon J., Dunja Knapp, Fabian Lim, et al.. (2023). Conserved enhancers control notochord expression of vertebrate Brachyury. Nature Communications. 14(1). 6594–6594. 5 indexed citations
6.
Kresoja‐Rakic, Jelena, et al.. (2022). Heterogeneity and genomic loci of ubiquitous transgenic Cre reporter lines in zebrafish. Developmental Dynamics. 251(10). 1754–1773. 5 indexed citations
7.
8.
Günther, Stefan, Karin D. Prummel, Gokul Kesavan, et al.. (2022). Endothelial versus pronephron fate decision is modulated by the transcription factors Cloche/Npas4l, Tal1, and Lmo2. Science Advances. 8(35). eabn2082–eabn2082. 14 indexed citations
9.
Mosimann, Christian, et al.. (2021). From Stripes to a Beating Heart: Early Cardiac Development in Zebrafish. Journal of Cardiovascular Development and Disease. 8(2). 17–17. 36 indexed citations
10.
Cabello, Elena M., Karl Frontzek, Elisabeth J. Rushing, et al.. (2019). Active receptor tyrosine kinases, but not Brachyury, are sufficient to trigger chordoma in zebrafish. Disease Models & Mechanisms. 12(7). 10 indexed citations
11.
Lindsay, Helen, Alexa Burger, Nathaniel R. Campbell, et al.. (2018). Cancer modeling by Transgene Electroporation in Adult Zebrafish (TEAZ). Disease Models & Mechanisms. 11(9). 38 indexed citations
12.
Burger, Alexa, et al.. (2018). Planar cell polarity signalling coordinates heart tube remodelling through tissue-scale polarisation of actomyosin activity. Nature Communications. 9(1). 2161–2161. 33 indexed citations
13.
Norris, Megan L., Andrea Pauli, James A. Gagnon, et al.. (2017). Toddler signaling regulates mesodermal cell migration downstream of Nodal signaling. eLife. 6. 25 indexed citations
14.
Hockman, Dorit, Alan J. Burns, Gerhard Schlosser, et al.. (2017). Evolution of the hypoxia-sensitive cells involved in amniote respiratory reflexes. eLife. 6. 54 indexed citations
15.
Sessa, Anna K., et al.. (2017). A defect in the mitochondrial protein Mpv17 underlies the transparent casper zebrafish. Developmental Biology. 430(1). 11–17. 67 indexed citations
16.
Kaufman, Charles K., Christian Mosimann, Zi Peng Fan, et al.. (2016). A zebrafish melanoma model reveals emergence of neural crest identity during melanoma initiation. Science. 351(6272). aad2197–aad2197. 267 indexed citations
17.
Burger, Alexa, Helen Lindsay, Anastasia Felker, et al.. (2016). Maximizing mutagenesis with solubilized CRISPR-Cas9 ribonucleoprotein complexes.. Development. 143(11). 2025–37. 223 indexed citations
18.
Poulain, Fabienne E., et al.. (2015). Wnt/ß-catenin signaling is required for radial glial neurogenesis following spinal cord injury. Developmental Biology. 403(1). 15–21. 80 indexed citations
19.
Mosimann, Christian & Leonard I. Zon. (2011). Advanced Zebrafish Transgenesis with Tol2 and Application for Cre/lox Recombination Experiments. Methods in cell biology. 104. 173–194. 38 indexed citations
20.
Mosimann, Christian, George Hausmann, & Konrad Basler. (2006). Parafibromin/Hyrax Activates Wnt/Wg Target Gene Transcription by Direct Association with β-catenin/Armadillo. Cell. 125(2). 327–341. 250 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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