Ferdinand von Meyenn

4.9k total citations · 1 hit paper
48 papers, 2.7k citations indexed

About

Ferdinand von Meyenn is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Ferdinand von Meyenn has authored 48 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 8 papers in Physiology and 8 papers in Genetics. Recurrent topics in Ferdinand von Meyenn's work include Pluripotent Stem Cells Research (17 papers), CRISPR and Genetic Engineering (15 papers) and Epigenetics and DNA Methylation (13 papers). Ferdinand von Meyenn is often cited by papers focused on Pluripotent Stem Cells Research (17 papers), CRISPR and Genetic Engineering (15 papers) and Epigenetics and DNA Methylation (13 papers). Ferdinand von Meyenn collaborates with scholars based in Switzerland, United Kingdom and United States. Ferdinand von Meyenn's co-authors include Wolf Reik, Fátima Santos, Austin Smith, Ge Guo, Paul Bertone, Felix Krueger, Jennifer Nichols, Mario Iurlaro, Markus Stoffel and Yaoyao Chen and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Ferdinand von Meyenn

45 papers receiving 2.7k citations

Hit Papers

Adipose tissue retains an epigenetic memory of obesity af... 2024 2026 2025 2024 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ferdinand von Meyenn Switzerland 23 2.1k 357 348 280 265 48 2.7k
Yasuhiro Takashima Japan 20 2.0k 1.0× 322 0.9× 158 0.5× 279 1.0× 336 1.3× 53 2.8k
Pio D’Adamo Italy 24 1.6k 0.8× 349 1.0× 187 0.5× 162 0.6× 138 0.5× 84 2.8k
Arie Horowitz United States 29 1.9k 0.9× 236 0.7× 275 0.8× 470 1.7× 209 0.8× 51 3.2k
Linxi Li China 30 1.8k 0.9× 386 1.1× 107 0.3× 279 1.0× 310 1.2× 110 3.8k
Ji‐Yeon Lee South Korea 28 1.4k 0.7× 266 0.7× 260 0.7× 151 0.5× 299 1.1× 122 2.5k
Min Wu China 34 2.7k 1.3× 344 1.0× 540 1.6× 126 0.5× 180 0.7× 121 3.9k
Charles R. Farber United States 32 1.7k 0.8× 914 2.6× 377 1.1× 319 1.1× 251 0.9× 93 2.9k
Lu Ding China 26 839 0.4× 415 1.2× 301 0.9× 131 0.5× 222 0.8× 121 2.2k
Eli Gilad Israel 23 1.3k 0.6× 202 0.6× 373 1.1× 272 1.0× 209 0.8× 41 2.9k
Takayuki Sakurai Japan 25 1.7k 0.8× 673 1.9× 139 0.4× 140 0.5× 205 0.8× 149 2.6k

Countries citing papers authored by Ferdinand von Meyenn

Since Specialization
Citations

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

Fields of papers citing papers by Ferdinand von Meyenn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ferdinand von Meyenn. 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 Ferdinand von Meyenn. The network helps show where Ferdinand von Meyenn may publish in the future.

Co-authorship network of co-authors of Ferdinand von Meyenn

This figure shows the co-authorship network connecting the top 25 collaborators of Ferdinand von Meyenn. A scholar is included among the top collaborators of Ferdinand von Meyenn 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 Ferdinand von Meyenn. Ferdinand von Meyenn 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.
Pentón, David, Igor Delvendahl, Sarah Cherkaoui, et al.. (2025). Mitochondrial dysfunction drives a neuronal exhaustion phenotype in methylmalonic aciduria. Communications Biology. 8(1). 410–410. 4 indexed citations
2.
Gao, Fengzheng, et al.. (2025). Iron bioaccessibility assessment and bioaccumulation enrichment in microalgae under different production conditions. Bioresource Technology. 441. 133567–133567.
3.
Zhou, Jiangtao, Sueppong Gowachirapant, Christophe Zeder, et al.. (2025). Oat protein nanofibril–iron hybrids offer a stable, high-absorption iron delivery platform for iron fortification. Nature Food. 6(12). 1164–1175. 2 indexed citations
4.
Huang, Tao, Ayaka Yanagida, Dong-Wan Kim, et al.. (2025). Inhibition of PRC2 enables self-renewal of blastoid-competent naive pluripotent stem cells from chimpanzee. Cell stem cell. 32(4). 627–639.e8. 1 indexed citations
5.
Hinte, Laura C., Daniel Castellano‐Castillo, Adhideb Ghosh, et al.. (2024). Adipose tissue retains an epigenetic memory of obesity after weight loss. Nature. 636(8042). 457–465. 68 indexed citations breakdown →
6.
Bonder, Marc Jan, Stephen J. Clark, Felix Krueger, et al.. (2024). scEpiAge: an age predictor highlighting single-cell ageing heterogeneity in mouse blood. Nature Communications. 15(1). 7567–7567. 4 indexed citations
7.
Desgeorges, Thibaut, Eva Galle, Jing Zhang, Ferdinand von Meyenn, & Katrien De Bock. (2024). Histone lactylation in macrophages is predictive for gene expression changes during ischemia induced-muscle regeneration. Molecular Metabolism. 83. 101923–101923. 21 indexed citations
8.
Yanagida, Ayaka, et al.. (2024). Human trophectoderm becomes multi-layered by internalization at the polar region. Developmental Cell. 59(18). 2497–2505.e4. 3 indexed citations
9.
Bordoni, Laura, et al.. (2024). Evaluating the connection between diet quality, EpiNutrient intake and epigenetic age: an observational study. American Journal of Clinical Nutrition. 120(5). 1143–1155. 3 indexed citations
10.
Wong, Chee-Wai, Ilona Dunkel, Philipp Voigt, et al.. (2023). Epigenetic dynamics during capacitation of naïve human pluripotent stem cells. Science Advances. 9(39). eadg1936–eadg1936. 9 indexed citations
11.
Pérez, Kevin, Viviane Praz, Guillermo López García, et al.. (2023). ATAC-clock: An aging clock based on chromatin accessibility. GeroScience. 46(2). 1789–1806. 22 indexed citations
12.
Ghosh, Adhideb, et al.. (2022). Exclusive generation of rat spermatozoa in sterile mice utilizing blastocyst complementation with pluripotent stem cells. Stem Cell Reports. 17(9). 1942–1958. 8 indexed citations
13.
Ziegler, Lukas von, Amalia Floriou‐Servou, Oliver Sturman, et al.. (2022). Multiomic profiling of the acute stress response in the mouse hippocampus. Nature Communications. 13(1). 1824–1824. 43 indexed citations
14.
Kreibich, Elisa, et al.. (2020). IMPLICON: an ultra-deep sequencing method to uncover DNA methylation at imprinted regions. Nucleic Acids Research. 48(16). e92–e92. 14 indexed citations
15.
Thompson, Oliver, Ferdinand von Meyenn, Zoë Hewitt, et al.. (2020). Low rates of mutation in clinical grade human pluripotent stem cells under different culture conditions. Nature Communications. 11(1). 1528–1528. 82 indexed citations
16.
Stepper, Peter, Donna M. Bond, Victoria J Sugrue, et al.. (2019). Bio-On-Magnetic-Beads (BOMB): Open platform for high-throughput nucleic acid extraction and manipulation. PLoS Biology. 17(1). e3000107–e3000107. 178 indexed citations
17.
Mulas, Carla, Tüzer Kalkan, Ferdinand von Meyenn, et al.. (2019). Defined conditions for propagation and manipulation of mouse embryonic stem cells. Development. 146(6). 72 indexed citations
18.
Meßmer, Tobias, Ferdinand von Meyenn, Aurora Savino, et al.. (2019). Transcriptional Heterogeneity in Naive and Primed Human Pluripotent Stem Cells at Single-Cell Resolution. Cell Reports. 26(4). 815–824.e4. 103 indexed citations
19.
Iurlaro, Mario, Ferdinand von Meyenn, & Wolf Reik. (2017). DNA methylation homeostasis in human and mouse development. Current Opinion in Genetics & Development. 43. 101–109. 95 indexed citations
20.
Hore, Timothy A., Ferdinand von Meyenn, Mirunalini Ravichandran, et al.. (2016). Retinol and ascorbate drive erasure of epigenetic memory and enhance reprogramming to naïve pluripotency by complementary mechanisms. Proceedings of the National Academy of Sciences. 113(43). 12202–12207. 128 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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