Anne Czechanski

3.2k total citations
18 papers, 581 citations indexed

About

Anne Czechanski is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Anne Czechanski has authored 18 papers receiving a total of 581 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Genetics and 4 papers in Plant Science. Recurrent topics in Anne Czechanski's work include Pluripotent Stem Cells Research (6 papers), CRISPR and Genetic Engineering (6 papers) and Chromosomal and Genetic Variations (4 papers). Anne Czechanski is often cited by papers focused on Pluripotent Stem Cells Research (6 papers), CRISPR and Genetic Engineering (6 papers) and Chromosomal and Genetic Variations (4 papers). Anne Czechanski collaborates with scholars based in United States, Germany and United Kingdom. Anne Czechanski's co-authors include Laura G. Reinholdt, Leah Rae Donahue, Candice Byers, Ian Greenstein, Anna‐Katerina Hadjantonakis, Nadine Schrode, Yueming Ding, Mark T. Johnson, Muriel T. Davisson and Cathleen Lutz and has published in prestigious journals such as Nature Communications, Nature Genetics and The Journal of Cell Biology.

In The Last Decade

Anne Czechanski

17 papers receiving 578 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anne Czechanski United States 12 362 156 133 69 38 18 581
Milene Kong Chile 17 291 0.8× 116 0.7× 210 1.6× 68 1.0× 19 0.5× 24 660
Vargheese M. Chennathukuzhi United States 18 528 1.5× 185 1.2× 96 0.7× 83 1.2× 35 0.9× 28 904
Lucy Crompton United Kingdom 9 488 1.3× 120 0.8× 54 0.4× 44 0.6× 16 0.4× 17 660
Dionne Gray United Kingdom 7 433 1.2× 264 1.7× 101 0.8× 40 0.6× 23 0.6× 9 535
Suzy Markossian France 12 572 1.6× 129 0.8× 33 0.2× 52 0.8× 24 0.6× 19 711
Marc Pondel United Kingdom 9 455 1.3× 101 0.6× 59 0.4× 71 1.0× 30 0.8× 16 625
Buffy S. Ellsworth United States 14 571 1.6× 345 2.2× 176 1.3× 27 0.4× 26 0.7× 29 937
Karin S. Sturm Australia 11 497 1.4× 243 1.6× 155 1.2× 42 0.6× 19 0.5× 15 775
Carmelo Ferrai Italy 14 528 1.5× 114 0.7× 28 0.2× 83 1.2× 42 1.1× 18 670
Michio Fujiwara Japan 14 724 2.0× 270 1.7× 95 0.7× 80 1.2× 24 0.6× 33 1.1k

Countries citing papers authored by Anne Czechanski

Since Specialization
Citations

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

Fields of papers citing papers by Anne Czechanski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anne Czechanski

This figure shows the co-authorship network connecting the top 25 collaborators of Anne Czechanski. A scholar is included among the top collaborators of Anne Czechanski 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 Anne Czechanski. Anne Czechanski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Francis, B. Magnus, Landen Gozashti, Takaoki Kasahara, et al.. (2025). Complete genome assemblies of two mouse subspecies reveal structural diversity of telomeres and centromeres. Nature Genetics. 57(11). 2852–2862.
2.
Skelly, Daniel A., Anne Czechanski, Steven C. Munger, et al.. (2024). Imputation of 3D genome structure by genetic–epigenetic interaction modeling in mice. eLife. 12. 1 indexed citations
3.
Skelly, Daniel A., Anne Czechanski, Steven C. Munger, et al.. (2023). Imputation of 3D genome structure by genetic–epigenetic interaction modeling in mice. eLife. 12. 1 indexed citations
4.
Audano, Peter A., Parithi Balachandran, Anne Czechanski, et al.. (2023). Resolution of structural variation in diverse mouse genomes reveals chromatin remodeling due to transposable elements. Cell Genomics. 3(5). 100291–100291. 27 indexed citations
5.
O’Shea, Timothy M., Y. Ao, S. Wang, et al.. (2022). Lesion environments direct transplanted neural progenitors towards a wound repair astroglial phenotype in mice. Nature Communications. 13(1). 5702–5702. 32 indexed citations
6.
Byers, Candice, Anne Czechanski, Steven C. Munger, et al.. (2021). Genetic control of the pluripotency epigenome determines differentiation bias in mouse embryonic stem cells. The EMBO Journal. 41(2). e109445–e109445. 7 indexed citations
7.
Ortmann, Daniel, Stephanie Brown, Anne Czechanski, et al.. (2020). Naive Pluripotent Stem Cells Exhibit Phenotypic Variability that Is Driven by Genetic Variation. Cell stem cell. 27(3). 470–481.e6. 31 indexed citations
8.
Malaby, Heidi L.H., Whitney Martin, Candice Byers, et al.. (2019). Mitotic chromosome alignment ensures mitotic fidelity by promoting interchromosomal compaction during anaphase. The Journal of Cell Biology. 218(4). 1148–1163. 56 indexed citations
9.
Wollenberg, Alexander, Timothy M. O’Shea, Jae H. Kim, et al.. (2018). Injectable polypeptide hydrogels via methionine modification for neural stem cell delivery. Biomaterials. 178. 527–545. 42 indexed citations
10.
Czechanski, Anne, et al.. (2015). Kif18a is specifically required for mitotic progression during germ line development. Developmental Biology. 402(2). 253–262. 41 indexed citations
11.
Czechanski, Anne, Candice Byers, Ian Greenstein, et al.. (2014). Derivation and characterization of mouse embryonic stem cells from permissive and nonpermissive strains. Nature Protocols. 9(3). 559–574. 114 indexed citations
12.
Reinholdt, Laura G., Gareth R. Howell, Anne Czechanski, et al.. (2012). Generating Embryonic Stem Cells from the Inbred Mouse Strain DBA/2J, a Model of Glaucoma and Other Complex Diseases. PLoS ONE. 7(11). e50081–e50081. 18 indexed citations
13.
Reinholdt, Laura G., Yueming Ding, Anne Czechanski, et al.. (2011). Molecular characterization of the translocation breakpoints in the Down syndrome mouse model Ts65Dn. Mammalian Genome. 22(11-12). 685–691. 138 indexed citations
14.
Reinholdt, Laura G., Anne Czechanski, Sonya Kamdar, et al.. (2009). Meiotic behavior of aneuploid chromatin in mouse models of Down syndrome. Chromosoma. 118(6). 723–736. 15 indexed citations
15.
D’Ascenzo, Mark, Jacob O. Kitzman, Christina M. Middle, et al.. (2009). Mutation discovery in the mouse using genetically guided array capture and resequencing. Mammalian Genome. 20(7). 424–436. 27 indexed citations
16.
Hwang, Jae‐Ho, et al.. (2008). Arachidonic acid-induced expression of the organic solute and steroid transporter-beta (Ost-beta) in a cartilaginous fish cell line. Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology. 148(1). 39–47. 14 indexed citations
17.
Barnes, David W., et al.. (2008). Stem Cells from Cartilaginous and Bony Fish. Methods in cell biology. 86. 343–367. 10 indexed citations
18.

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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