Robert Schneider

20.6k total citations · 8 hit papers
91 papers, 14.5k citations indexed

About

Robert Schneider is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Robert Schneider has authored 91 papers receiving a total of 14.5k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Molecular Biology, 9 papers in Genetics and 8 papers in Plant Science. Recurrent topics in Robert Schneider's work include Genomics and Chromatin Dynamics (54 papers), Epigenetics and DNA Methylation (48 papers) and Cancer-related gene regulation (22 papers). Robert Schneider is often cited by papers focused on Genomics and Chromatin Dynamics (54 papers), Epigenetics and DNA Methylation (48 papers) and Cancer-related gene regulation (22 papers). Robert Schneider collaborates with scholars based in Germany, France and United States. Robert Schneider's co-authors include Andrew J. Bannister, Tony Kouzarides, Sylvain Daujat, Stuart L. Schreiber, B Bernstein, Helena Santos-Rosa, Jane Mellor, Annalisa Izzo, Moyra Lawrence and Reinhard Buettner and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Robert Schneider

89 papers receiving 14.3k citations

Hit Papers

Active genes are tri-methylated at K4 of histone H3 2001 2026 2009 2017 2002 2005 2001 2003 2004 500 1000 1.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Active genes are tri-methylated at K4 of histone H3
    2002 1.7k citations Robert Schneider, Andrew J. Bannister et al. Nature profile →
  2. LSD1 demethylates repressive histone marks to promote androgen-receptor-dependent transcription
    2005 1.4k citations Robert Schneider et al. Nature profile →
  3. Rb targets histone H3 methylation and HP1 to promoters
    2001 706 citations Robert Schneider, Andrew J. Bannister et al. Nature profile →
  4. Histone H3 lysine 4 methylation patterns in higher eukaryotic genes
    2003 634 citations Robert Schneider, Andrew J. Bannister et al. profile →
  5. Histone Deimination Antagonizes Arginine Methylation
    2004 629 citations Sylvain Daujat, Robert Schneider et al. Cell profile →
  6. Histone post-translational modifications — cause and consequence of genome function
    2022 600 citations Adam Burton, Andrew J. Bannister et al. profile →
  7. Lateral Thinking: How Histone Modifications Regulate Gene Expression
    2015 598 citations Moyra Lawrence, Sylvain Daujat et al. Trends in Genetics profile →
  8. Methylation of histone H3 Lys 4 in coding regions of active genes
    2002 595 citations Robert Schneider, Tony Kouzarides et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert Schneider Germany 53 12.7k 2.1k 1.2k 931 889 91 14.5k
Jacques Côté Canada 68 14.4k 1.1× 1.3k 0.6× 1.5k 1.2× 1.2k 1.2× 654 0.7× 163 16.3k
Axel Imhof Germany 59 11.0k 0.9× 1.4k 0.7× 1.2k 1.0× 839 0.9× 947 1.1× 224 13.5k
Wolfgang Fischle Germany 51 11.1k 0.9× 1.3k 0.6× 982 0.8× 933 1.0× 1.1k 1.2× 92 12.8k
James Davie Canada 59 13.8k 1.1× 2.7k 1.3× 835 0.7× 1.3k 1.4× 1.1k 1.2× 252 16.6k
Jeroen Demmers Netherlands 58 8.8k 0.7× 1.4k 0.7× 530 0.4× 919 1.0× 753 0.8× 203 13.3k
Katsuhiko Shirahige Japan 70 14.4k 1.1× 1.8k 0.9× 2.5k 2.0× 1.1k 1.2× 412 0.5× 219 15.7k
Craig L. Peterson United States 68 17.0k 1.3× 1.7k 0.8× 2.2k 1.8× 1.0k 1.1× 1.2k 1.3× 180 18.4k
Mitsuyoshi Nakao Japan 57 7.4k 0.6× 2.3k 1.1× 545 0.5× 1.1k 1.1× 955 1.1× 174 9.6k
Mark T. Bedford United States 77 17.8k 1.4× 1.6k 0.8× 456 0.4× 928 1.0× 765 0.9× 208 19.9k
Michael R. Green United States 68 15.3k 1.2× 2.4k 1.1× 991 0.8× 1.3k 1.4× 1.8k 2.0× 177 19.2k

Countries citing papers authored by Robert Schneider

Since Specialization
Citations

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

Fields of papers citing papers by Robert Schneider

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Schneider

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Schneider. A scholar is included among the top collaborators of Robert Schneider 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 Robert Schneider. Robert Schneider 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.
Schauer, Tamás, Jianfeng Sun, Jonas J. Funke, et al.. (2025). H4K16 acylations destabilize chromatin architecture and facilitate transcriptional response during metabolic perturbations. Molecular Cell. 86(1). 24–40.e10.
2.
Lukauskas, Saulius, Andrey Tvardovskiy, Nhuong V. Nguyen, et al.. (2024). Decoding chromatin states by proteomic profiling of nucleosome readers. Nature. 627(8004). 671–679. 27 indexed citations
3.
Rico-Lastres, Palma, Katharina Arnold, Shibom Basu, et al.. (2024). Structural basis of tRNA recognition by the m3C RNA methyltransferase METTL6 in complex with SerRS seryl-tRNA synthetase. Nature Structural & Molecular Biology. 31(10). 1614–1624. 5 indexed citations
4.
Schneider, Robert, et al.. (2024). Emerging toolkits for decoding the co-occurrence of modified histones and chromatin proteins. EMBO Reports. 25(8). 3202–3220. 1 indexed citations
5.
Nakatani, Tsunetoshi, Andreas Ettinger, Tamás Schauer, et al.. (2023). A change in biophysical properties accompanies heterochromatin formation in mouse embryos. Genes & Development. 37(7-8). 336–350. 10 indexed citations
6.
Rosikiewicz, Wojciech, Yurii Sedkov, Andrey Tvardovskiy, et al.. (2022). The MLL3/4 complexes and MiDAC co-regulate H4K20ac to control a specific gene expression program. Life Science Alliance. 5(11). e202201572–e202201572. 6 indexed citations
7.
Stolz, Paul, Andrey Tvardovskiy, Enes Ugur, et al.. (2022). TET1 regulates gene expression and repression of endogenous retroviruses independent of DNA demethylation. Nucleic Acids Research. 50(15). 8491–8511. 28 indexed citations
8.
Kukhtevich, I. V., Poonam Bheda, Stephan Hamperl, et al.. (2022). Quantitative RNA imaging in single live cells reveals age-dependent asymmetric inheritance. Cell Reports. 41(7). 111656–111656. 3 indexed citations
9.
Bheda, Poonam, Diana Aguilar‐Gómez, Nils B. Becker, et al.. (2020). Single-Cell Tracing Dissects Regulation of Maintenance and Inheritance of Transcriptional Reinduction Memory. Molecular Cell. 78(5). 915–925.e7. 16 indexed citations
10.
Pradeepa, Madapura M., Graeme R. Grimes, Yatendra Kumar, et al.. (2016). Histone H3 globular domain acetylation identifies a new class of enhancers. Nature Genetics. 48(6). 681–686. 152 indexed citations
11.
Lawrence, Moyra, Sylvain Daujat, & Robert Schneider. (2015). Lateral Thinking: How Histone Modifications Regulate Gene Expression. Trends in Genetics. 32(1). 42–56. 598 indexed citations breakdown →
12.
Infantino, Simona, et al.. (2010). Arginine methylation of the B cell antigen receptor promotes differentiation. The Journal of Experimental Medicine. 207(4). 711–719. 58 indexed citations
13.
Plazas-Mayorca, Mariana D., Joshua S. Bloom, Ulrike Zeißler, et al.. (2010). Quantitative proteomics reveals direct and indirect alterations in the histone code following methyltransferase knockdown. Molecular BioSystems. 6(9). 1719–1729. 29 indexed citations
14.
Kamieniarz-Gdula, Kinga & Robert Schneider. (2009). Tools to Tackle Protein Acetylation. Chemistry & Biology. 16(10). 1027–1029. 43 indexed citations
15.
Schneider, Robert & Rudolf Grosschedl. (2007). Dynamics and interplay of nuclear architecture, genome organization, and gene expression. Genes & Development. 21(23). 3027–3043. 315 indexed citations
16.
Bannister, Andrew J., Robert Schneider, Fiona A. Myers, et al.. (2005). Spatial Distribution of Di- and Tri-methyl Lysine 36 of Histone H3 at Active Genes. Journal of Biological Chemistry. 280(18). 17732–17736. 347 indexed citations
17.
Bannister, Andrew J., Robert Schneider, & Tony Kouzarides. (2002). Histone Methylation. Cell. 109(7). 801–806. 404 indexed citations
18.
Travers, Andrew, Robert Schneider, & Georgi Muskhelishvili. (2001). DNA supercoiling and transcription in Escherichia coli: The FIS connection. Biochimie. 83(2). 213–217. 66 indexed citations
19.
Schneider, Robert. (2001). An architectural role of the Escherichia coli chromatin protein FIS in organising DNA. Nucleic Acids Research. 29(24). 5107–5114. 132 indexed citations
20.
Schneider, Robert, Andrew Travers, Tamara Kutateladze, & Georgi Muskhelishvili. (1999). A DNA architectural protein couples cellular physiology and DNA topology in Escherichia coli. Molecular Microbiology. 34(5). 953–964. 130 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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