Peter Zeller

1.2k total citations
33 papers, 797 citations indexed

About

Peter Zeller is a scholar working on Molecular Biology, Surgery and Electrical and Electronic Engineering. According to data from OpenAlex, Peter Zeller has authored 33 papers receiving a total of 797 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 6 papers in Surgery and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Peter Zeller's work include Genomics and Chromatin Dynamics (6 papers), Single-cell and spatial transcriptomics (4 papers) and CRISPR and Genetic Engineering (4 papers). Peter Zeller is often cited by papers focused on Genomics and Chromatin Dynamics (6 papers), Single-cell and spatial transcriptomics (4 papers) and CRISPR and Genetic Engineering (4 papers). Peter Zeller collaborates with scholars based in United States, Austria and Netherlands. Peter Zeller's co-authors include Susan M. Gasser, Jan Padeken, Thomas C. Skalak, Véronique Kalck, Robin van Schendel, Marcel Tijsterman, Richard J. Price, Alexander van Oudenaarden, Stephen P. Methot and Colin Delaney and has published in prestigious journals such as Nature Communications, Nature Genetics and Genes & Development.

In The Last Decade

Peter Zeller

31 papers receiving 787 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Zeller United States 17 459 98 79 77 75 33 797
Damir Krunic Germany 17 428 0.9× 34 0.3× 52 0.7× 140 1.8× 83 1.1× 37 1.0k
Naoki Ogawa Japan 22 757 1.6× 37 0.4× 39 0.5× 68 0.9× 114 1.5× 60 1.3k
Keisuke Yoshida Japan 13 1.0k 2.3× 209 2.1× 228 2.9× 33 0.4× 45 0.6× 30 1.5k
Andreas Frölich Germany 19 234 0.5× 79 0.8× 30 0.4× 89 1.2× 432 5.8× 48 1.1k
Yu Oikawa Japan 15 604 1.3× 65 0.7× 48 0.6× 87 1.1× 555 7.4× 44 1.2k
Shingo Semba Japan 15 283 0.6× 43 0.4× 47 0.6× 41 0.5× 35 0.5× 22 649
Marco Cassano Italy 19 856 1.9× 140 1.4× 98 1.2× 214 2.8× 95 1.3× 30 1.2k
Andyna Vernet United States 7 401 0.9× 18 0.2× 55 0.7× 44 0.6× 33 0.4× 11 794

Countries citing papers authored by Peter Zeller

Since Specialization
Citations

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

Fields of papers citing papers by Peter Zeller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Zeller

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Zeller. A scholar is included among the top collaborators of Peter Zeller 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 Peter Zeller. Peter Zeller 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.
Morales-Rodriguez, Francisco, Nhung Pham, Philip Lijnzaad, et al.. (2025). An engineered tumor organoid model reveals cellular identity and signaling trajectories underlying SFPQ-TFE3 driven translocation RCC. iScience. 28(4). 112122–112122.
2.
Berg, Jeroen van den & Peter Zeller. (2025). Shining a light on cell biology of the nucleus with single-cell sequencing. Current Opinion in Cell Biology. 93. 102468–102468. 2 indexed citations
3.
Blotenburg, Marloes, Daniel V. Bax, Jan Visser, et al.. (2025). Stem cell culture conditions affect in vitro differentiation potential and mouse gastruloid formation. PLoS ONE. 20(3). e0317309–e0317309. 3 indexed citations
4.
Bhardwaj, Vivek, et al.. (2024). Single-Cell Histone Modification Profiling with Cell Enrichment Using sortChIC. Methods in molecular biology. 2846. 215–241.
5.
Bondarenko, Vladyslav, Mikhail Nikolaev, Roman Belousov, et al.. (2023). Embryo‐uterine interaction coordinates mouse embryogenesis during implantation. The EMBO Journal. 42(17). e113280–e113280. 20 indexed citations
6.
Liu, Ning Qing, Lars Custers, Peter Zeller, et al.. (2023). SMARCB1 loss activates patient-specific distal oncogenic enhancers in malignant rhabdoid tumors. Nature Communications. 14(1). 7762–7762. 14 indexed citations
7.
Yeung, Jake, Maria Florescu, Peter Zeller, et al.. (2023). scChIX-seq infers dynamic relationships between histone modifications in single cells. Nature Biotechnology. 41(6). 813–823. 23 indexed citations
8.
Xu, Chunmeng, Andrew Rockhill, Matthew Bosworth, et al.. (2022). Evaluation Tests of Metal Oxide Varistors for DC Circuit Breakers. IEEE Open Access Journal of Power and Energy. 9. 254–264. 21 indexed citations
9.
Bosworth, Matthew, Chunmeng Xu, Andrew Rockhill, et al.. (2022). Lifetime-Based Selection Procedures for DC Circuit Breaker Varistors. IEEE Transactions on Power Electronics. 37(11). 13525–13537. 14 indexed citations
10.
Zeller, Peter, Jake Yeung, Buys de Barbanson, et al.. (2022). Single-cell sortChIC identifies hierarchical chromatin dynamics during hematopoiesis. Nature Genetics. 55(2). 333–345. 30 indexed citations
11.
Methot, Stephen P., Jan Padeken, Giovanna Brancati, et al.. (2021). H3K9me selectively blocks transcription factor activity and ensures differentiated tissue integrity. Nature Cell Biology. 23(11). 1163–1175. 45 indexed citations
12.
Padeken, Jan, Stephen P. Methot, Peter Zeller, et al.. (2020). Argonaute NRDE-3 and MBT domain protein LIN-61 redundantly recruit an H3K9me3 HMT to prevent embryonic lethality and transposon expression. Genes & Development. 35(1-2). 82–101. 19 indexed citations
13.
Padeken, Jan, Peter Zeller, Benjamin D. Towbin, et al.. (2019). Synergistic lethality between BRCA1 and H3K9me2 loss reflects satellite derepression. Genes & Development. 33(7-8). 436–451. 40 indexed citations
14.
Zeller, Peter & Susan M. Gasser. (2017). The Importance of Satellite Sequence Repression for Genome Stability. Cold Spring Harbor Symposia on Quantitative Biology. 82. 15–24. 14 indexed citations
15.
Zeller, Peter. (2017). Handbuch Fahrzeugakustik. 14 indexed citations
16.
Zeller, Peter, Jan Padeken, Robin van Schendel, et al.. (2016). Histone H3K9 methylation is dispensable for Caenorhabditis elegans development but suppresses RNA:DNA hybrid-associated repeat instability. Nature Genetics. 48(11). 1385–1395. 148 indexed citations
17.
Mintern, Justine D., Christophe Macri, Élodie Segura, et al.. (2015). Differential use of autophagy by primary dendritic cells specialized in cross-presentation. Autophagy. 11(6). 906–917. 71 indexed citations
18.
Padeken, Jan, Peter Zeller, & Susan M. Gasser. (2015). Repeat DNA in genome organization and stability. Current Opinion in Genetics & Development. 31. 12–19. 83 indexed citations
19.
Wilkoff, Bruce L., Peter H. Belott, Charles J. Love, et al.. (2005). Improved Extraction of ePTFE and Medical Adhesive Modified Defibrillation Leads from the Coronary Sinus and Great Cardiac Vein. Pacing and Clinical Electrophysiology. 28(3). 205–211. 25 indexed citations
20.
Gottstein, Jeanne, et al.. (1990). Endotoxin and the hyperdynamic circulation of portal vein—ligated rats. Hepatology. 12(5). 1152–1156. 21 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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