Katharine N. Schulz

1.4k total citations · 1 hit paper
7 papers, 839 citations indexed

About

Katharine N. Schulz is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Katharine N. Schulz has authored 7 papers receiving a total of 839 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Genetics and 3 papers in Plant Science. Recurrent topics in Katharine N. Schulz's work include Genomics and Chromatin Dynamics (6 papers), CRISPR and Genetic Engineering (3 papers) and Animal Genetics and Reproduction (3 papers). Katharine N. Schulz is often cited by papers focused on Genomics and Chromatin Dynamics (6 papers), CRISPR and Genetic Engineering (3 papers) and Animal Genetics and Reproduction (3 papers). Katharine N. Schulz collaborates with scholars based in United States, Israel and France. Katharine N. Schulz's co-authors include Melissa M. Harrison, Meilín Fernández García, Kenneth S. Zaret, Tommy Kaplan, Eliana R. Bondra, Heng Zhu, Cedric Moore, Jason D. Lieb, Daniel J. McKay and Jacqueline E. Villalta and has published in prestigious journals such as Nature Communications, Molecular Cell and Nature Reviews Genetics.

In The Last Decade

Katharine N. Schulz

7 papers receiving 833 citations

Hit Papers

Mechanisms regulating zygotic genome activation 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Katharine N. Schulz United States 6 752 160 120 73 60 7 839
Chung-Yi Nien United States 8 759 1.0× 202 1.3× 134 1.1× 44 0.6× 50 0.8× 8 846
Shelby A. Blythe United States 15 920 1.2× 152 0.9× 105 0.9× 40 0.5× 35 0.6× 18 977
Angelo Karaiskakis Canada 8 796 1.1× 139 0.9× 175 1.5× 96 1.3× 84 1.4× 11 887
Prashanth Rangan United States 18 923 1.2× 204 1.3× 169 1.4× 56 0.8× 27 0.5× 33 1.0k
Glenn A. Maston United States 5 689 0.9× 90 0.6× 177 1.5× 43 0.6× 69 1.1× 5 892
Fides Zenk Germany 10 573 0.8× 118 0.7× 62 0.5× 27 0.4× 51 0.8× 19 670
Christina Rathke Germany 16 843 1.1× 214 1.3× 404 3.4× 166 2.3× 51 0.8× 25 1.1k
Ai Khim Lim Singapore 6 515 0.7× 349 2.2× 84 0.7× 33 0.5× 58 1.0× 7 575
Aisa Sakaguchi Japan 5 615 0.8× 240 1.5× 103 0.9× 16 0.2× 53 0.9× 7 751
J. Kim Holloway United States 14 894 1.2× 256 1.6× 301 2.5× 91 1.2× 87 1.4× 14 1.1k

Countries citing papers authored by Katharine N. Schulz

Since Specialization
Citations

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

Fields of papers citing papers by Katharine N. Schulz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katharine N. Schulz. 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 Katharine N. Schulz. The network helps show where Katharine N. Schulz may publish in the future.

Co-authorship network of co-authors of Katharine N. Schulz

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

All Works

7 of 7 papers shown
1.
McKay, Daniel J., Katharine N. Schulz, Jason D. Lieb, et al.. (2020). Zelda is differentially required for chromatin accessibility, transcription factor binding, and gene expression in the early Drosophila embryo. UNC Libraries. 3 indexed citations
2.
García, Meilín Fernández, Cedric Moore, Katharine N. Schulz, et al.. (2019). Structural Features of Transcription Factors Associating with Nucleosome Binding. Molecular Cell. 75(5). 921–932.e6. 144 indexed citations
3.
McDaniel, Stephen L., Tyler J. Gibson, Katharine N. Schulz, et al.. (2019). Continued Activity of the Pioneer Factor Zelda Is Required to Drive Zygotic Genome Activation. Molecular Cell. 74(1). 185–195.e4. 78 indexed citations
4.
Dufourt, Jérémy, Antonio Trullo, Jennifer Hunter, et al.. (2018). Temporal control of gene expression by the pioneer factor Zelda through transient interactions in hubs. Nature Communications. 9(1). 5194–5194. 112 indexed citations
5.
Schulz, Katharine N. & Melissa M. Harrison. (2018). Mechanisms regulating zygotic genome activation. Nature Reviews Genetics. 20(4). 221–234. 337 indexed citations breakdown →
6.
Bondra, Eliana R., et al.. (2016). Stable Binding of the Conserved Transcription Factor Grainy Head to its Target Genes ThroughoutDrosophila melanogasterDevelopment. Genetics. 205(2). 605–620. 43 indexed citations
7.
Schulz, Katharine N., Eliana R. Bondra, Jacqueline E. Villalta, et al.. (2015). Zelda is differentially required for chromatin accessibility, transcription factor binding, and gene expression in the early Drosophila embryo. Genome Research. 25(11). 1715–1726. 122 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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