Edda G. Schulz

4.9k total citations · 1 hit paper
28 papers, 3.2k citations indexed

About

Edda G. Schulz is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Edda G. Schulz has authored 28 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 14 papers in Genetics and 4 papers in Cancer Research. Recurrent topics in Edda G. Schulz's work include CRISPR and Genetic Engineering (16 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (11 papers) and Genomics and Chromatin Dynamics (7 papers). Edda G. Schulz is often cited by papers focused on CRISPR and Genetic Engineering (16 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (11 papers) and Genomics and Chromatin Dynamics (7 papers). Edda G. Schulz collaborates with scholars based in Germany, France and United States. Edda G. Schulz's co-authors include Édith Heard, Nils Blüthgen, Luca Giorgetti, Ikuhiro Okamoto, Johannes Meisig, Elphège P. Nora, John W. Sedat, Bryan R. Lajoie, Emmanuel Barillot and Nicolas Servant and has published in prestigious journals such as Nature, Cell and Journal of Biological Chemistry.

In The Last Decade

Edda G. Schulz

27 papers receiving 3.2k citations

Hit Papers

Spatial partitioning of the regulatory landscape of the X... 2012 2026 2016 2021 2012 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Edda G. Schulz Germany 16 2.8k 746 696 350 330 28 3.2k
Petra Klous Netherlands 17 3.6k 1.3× 968 1.3× 768 1.1× 299 0.9× 275 0.8× 22 4.0k
Cameron S. Osborne United Kingdom 23 3.1k 1.1× 593 0.8× 625 0.9× 318 0.9× 338 1.0× 40 3.6k
Lyubomira Chakalova United Kingdom 15 2.6k 0.9× 460 0.6× 437 0.6× 300 0.9× 296 0.9× 20 2.9k
Ulrich Braunschweig Canada 21 4.0k 1.4× 762 1.0× 492 0.7× 401 1.1× 161 0.5× 28 4.3k
Jop Kind Netherlands 25 3.5k 1.2× 695 0.9× 506 0.7× 207 0.6× 190 0.6× 36 3.8k
Cedric R. Clapier United States 19 3.7k 1.3× 753 1.0× 410 0.6× 193 0.6× 238 0.7× 20 4.2k
Leonie Ringrose Austria 23 2.8k 1.0× 438 0.6× 433 0.6× 212 0.6× 170 0.5× 33 3.0k
Yuri M. Moshkin Netherlands 24 2.7k 1.0× 659 0.9× 408 0.6× 124 0.4× 182 0.6× 48 3.0k
Oliver Weichenrieder Germany 36 3.4k 1.2× 703 0.9× 530 0.8× 356 1.0× 212 0.6× 49 3.8k
Sean Thomas United States 19 2.4k 0.8× 391 0.5× 497 0.7× 309 0.9× 140 0.4× 23 2.8k

Countries citing papers authored by Edda G. Schulz

Since Specialization
Citations

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

Fields of papers citing papers by Edda G. Schulz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edda G. Schulz

This figure shows the co-authorship network connecting the top 25 collaborators of Edda G. Schulz. A scholar is included among the top collaborators of Edda G. 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 Edda G. Schulz. Edda G. Schulz 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.
Schulz, Edda G., et al.. (2024). Spatial orchestration of the genome: topological reorganisation during X-chromosome inactivation. Current Opinion in Genetics & Development. 86. 102198–102198. 4 indexed citations
2.
Klinger, Bertram, et al.. (2023). Modeling unveils sex differences of signaling networks in mouse embryonic stem cells. Molecular Systems Biology. 19(11). e11510–e11510. 1 indexed citations
3.
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
4.
Kumar, Abhishek Sampath, Ilona Dunkel, Guido Pacini, et al.. (2023). GATA transcription factors drive initial Xist upregulation after fertilization through direct activation of long-range enhancers. Nature Cell Biology. 25(11). 1704–1715. 10 indexed citations
5.
Gjaltema, Rutger A. F., et al.. (2023). CasTuner is a degron and CRISPR/Cas-based toolkit for analog tuning of endogenous gene expression. Nature Communications. 14(1). 3225–3225. 19 indexed citations
6.
Schulz, Edda G., et al.. (2023). Regulatory principles and mechanisms governing the onset of random X-chromosome inactivation. Current Opinion in Genetics & Development. 81. 102063–102063. 12 indexed citations
7.
Schulz, Edda G., et al.. (2022). Dissecting Molecular Phenotypes Through FACS-Based Pooled CRISPR Screens. Methods in molecular biology. 2520. 1–24. 4 indexed citations
8.
Gjaltema, Rutger A. F., Michael I. Robson, Robert Schöpflin, et al.. (2021). Distal and proximal cis-regulatory elements sense X chromosome dosage and developmental state at the Xist locus. Molecular Cell. 82(1). 190–208.e17. 31 indexed citations
10.
Pacini, Guido, et al.. (2021). Integrated analysis of Xist upregulation and X-chromosome inactivation with single-cell and single-allele resolution. Nature Communications. 12(1). 3638–3638. 29 indexed citations
11.
Okamoto, Ikuhiro, Ilona Dunkel, Mitinori Saitou, et al.. (2019). A symmetric toggle switch explains the onset of random X inactivation in different mammals. Nature Structural & Molecular Biology. 26(5). 350–360. 33 indexed citations
12.
Zhan, Yinxiu, Luca Mariani, Iros Barozzi, et al.. (2017). Reciprocal insulation analysis of Hi-C data shows that TADs represent a functionally but not structurally privileged scale in the hierarchical folding of chromosomes. Genome Research. 27(3). 479–490. 137 indexed citations
13.
Schulz, Edda G.. (2017). X-chromosome dosage as a modulator of pluripotency, signalling and differentiation?. Philosophical Transactions of the Royal Society B Biological Sciences. 372(1733). 20160366–20160366. 13 indexed citations
14.
Boeva, Valentina, Martín Escamilla-Del-Arenal, Katia Ancelin, et al.. (2014). Jarid2 Is Implicated in the Initial Xist-Induced Targeting of PRC2 to the Inactive X Chromosome. Molecular Cell. 53(2). 301–316. 197 indexed citations
15.
Schulz, Edda G. & Édith Heard. (2013). Role and control of X chromosome dosage in mammalian development. Current Opinion in Genetics & Development. 23(2). 109–115. 60 indexed citations
16.
Nora, Elphège P., Bryan R. Lajoie, Edda G. Schulz, et al.. (2012). Spatial partitioning of the regulatory landscape of the X-inactivation centre. Nature. 485(7398). 381–385. 2074 indexed citations breakdown →
17.
Schulz, Edda G., Elphège P. Nora, & Édith Heard. (2011). Rnf12—A Jack of All Trades in X Inactivation?. PLoS Genetics. 7(1). e1002002–e1002002. 1 indexed citations
18.
Mariani, Luca, Edda G. Schulz, Maria H. Lexberg, et al.. (2010). Short‐term memory in gene induction reveals the regulatory principle behind stochastic IL‐4 expression. Molecular Systems Biology. 6(1). 359–359. 70 indexed citations
19.
Schulz, Edda G., Luca Mariani, Andreas Radbruch, & Thomas Höfer. (2009). Sequential Polarization and Imprinting of Type 1 T Helper Lymphocytes by Interferon-γ and Interleukin-12. Immunity. 30(5). 673–683. 227 indexed citations
20.
Swain, Joanna F., Edda G. Schulz, & Lila M. Gierasch. (2005). Direct Comparison of a Stable Isolated Hsp70 Substrate-binding Domain in the Empty and Substrate-bound States. Journal of Biological Chemistry. 281(3). 1605–1611. 58 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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