Tim Pollex

2.1k total citations · 1 hit paper
16 papers, 1.5k citations indexed

About

Tim Pollex is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Tim Pollex has authored 16 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Plant Science. Recurrent topics in Tim Pollex's work include Genomics and Chromatin Dynamics (9 papers), Epigenetics and DNA Methylation (5 papers) and Cancer-related gene regulation (5 papers). Tim Pollex is often cited by papers focused on Genomics and Chromatin Dynamics (9 papers), Epigenetics and DNA Methylation (5 papers) and Cancer-related gene regulation (5 papers). Tim Pollex collaborates with scholars based in Germany, United States and France. Tim Pollex's co-authors include Matthias Schaefer, Frank Lyko, Katharina Hanna, Hanna Kim, Francesca Tuorto, Madeleine Meusburger, Mark Helm, Édith Heard, Eileen E. M. Furlong and Sujitha Duggimpudi and has published in prestigious journals such as Cell, Nucleic Acids Research and Nature Genetics.

In The Last Decade

Tim Pollex

16 papers receiving 1.5k citations

Hit Papers

align trajectories

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.

RNA methylation by Dnmt2 protects transfer RNAs against stress-induced cleavage

2010 561 citations Matthias Schaefer, Tim Pollex et al. Genes & Development profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tim Pollex Germany	13	1.4k	412	169	137	48	16	1.5k
Shozo Honda United States	15	1.2k 0.8×	487 1.2×	260 1.5×	147 1.1×	14 0.3×	26	1.3k
İbrahim Ilik Germany	13	1.2k 0.9×	620 1.5×	99 0.6×	94 0.7×	15 0.3×	18	1.3k
Madeleine Meusburger Germany	6	770 0.6×	234 0.6×	62 0.4×	39 0.3×	28 0.6×	6	832
David Homolka Switzerland	16	1.5k 1.1×	509 1.2×	436 2.6×	165 1.2×	11 0.2×	23	1.7k
J. Zachery Cogan United States	6	1.1k 0.8×	151 0.4×	61 0.4×	131 1.0×	16 0.3×	6	1.2k
Daniel Maticzka Germany	11	1.1k 0.8×	462 1.1×	48 0.3×	71 0.5×	18 0.4×	15	1.2k
Jorge Ruiz‐Orera Germany	16	971 0.7×	342 0.8×	115 0.7×	111 0.8×	9 0.2×	21	1.1k
Cécile Bousquet‐Antonelli France	22	2.2k 1.6×	161 0.4×	479 2.8×	61 0.4×	19 0.4×	30	2.4k
Stephen L. Gasior United States	11	1.5k 1.1×	146 0.4×	529 3.1×	203 1.5×	45 0.9×	13	1.6k
Do‐Hwan Lim South Korea	15	589 0.4×	264 0.6×	100 0.6×	74 0.5×	39 0.8×	30	756

Countries citing papers authored by Tim Pollex

Since Specialization

Citations

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

Fields of papers citing papers by Tim Pollex

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim Pollex

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

All Works

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16 of 16 papers shown

Pollex, Tim, Adam Rabinowitz, Maria Cristina Gambetta, et al.. (2024). Enhancer–promoter interactions become more instructive in the transition from cell-fate specification to tissue differentiation. Nature Genetics. 56(4). 686–696. 24 indexed citations

Girardot, Charles, Rebecca R. Viales, Tim Pollex, et al.. (2023). CTCF, BEAF-32, and CP190 are not required for the establishment of TADs in early Drosophila embryos but have locus-specific roles. Science Advances. 9(5). eade1085–eade1085. 37 indexed citations

Pollex, Tim, Raquel Marco-Ferreres, Lucia Ciglar, et al.. (2023). Chromatin gene-gene loops support the cross-regulation of genes with related function. Molecular Cell. 84(5). 822–838.e8. 16 indexed citations

Pollex, Tim, et al.. (2021). To loop or not to loop: what is the role of TADs in enhancer function and gene regulation?. Current Opinion in Genetics & Development. 67. 119–129. 54 indexed citations

Redolfi, Josef, Yinxiu Zhan, Christian Valdes‐Quezada, et al.. (2019). DamC reveals principles of chromatin folding in vivo without crosslinking and ligation. Nature Structural & Molecular Biology. 26(6). 471–480. 56 indexed citations

Pollex, Tim & Édith Heard. (2019). Nuclear positioning and pairing of X-chromosome inactivation centers are not primary determinants during initiation of random X-inactivation. Nature Genetics. 51(2). 285–295. 25 indexed citations

Pollex, Tim & Eileen E. M. Furlong. (2017). Correlation Does Not Imply Causation: Histone Methyltransferases, but Not Histone Methylation, SET the Stage for Enhancer Activation. Molecular Cell. 66(4). 439–441. 7 indexed citations

Tiana, Guido, Assaf Amitai, Tim Pollex, et al.. (2016). Structural Fluctuations of the Chromatin Fiber within Topologically Associating Domains. Biophysical Journal. 110(6). 1234–1245. 41 indexed citations

Duggimpudi, Sujitha, et al.. (2014). A cluster of methylations in the domain IV of 25S rRNA is required for ribosome stability. RNA. 20(10). 1632–1644. 65 indexed citations

10.

Pollex, Tim, Tristan Piolot, & Édith Heard. (2013). Live-Cell Imaging Combined with Immunofluorescence, RNA, or DNA FISH to Study the Nuclear Dynamics and Expression of the X-Inactivation Center. Methods in molecular biology. 1042. 13–31. 8 indexed citations

11.

Durdevic, Zeljko, Katharina Hanna, Beth Gold, et al.. (2013). Efficient RNA virus control in Drosophila requires the RNA methyltransferase Dnmt2. EMBO Reports. 14(3). 269–275. 78 indexed citations

12.

Pollex, Tim & Édith Heard. (2012). Recent advances in X-chromosome inactivation research. Current Opinion in Cell Biology. 24(6). 825–832. 48 indexed citations

13.

Masui, Osamu, Isabelle Bonnet, Patricia Le Baccon, et al.. (2011). Live-Cell Chromosome Dynamics and Outcome of X Chromosome Pairing Events during ES Cell Differentiation. Cell. 145(3). 447–458. 108 indexed citations

14.

Schaefer, Matthias, Tim Pollex, Katharina Hanna, et al.. (2010). RNA methylation by Dnmt2 protects transfer RNAs against stress-induced cleavage. Genes & Development. 24(15). 1590–1595. 561 indexed citations breakdown →

15.

Pollex, Tim, Katharina Hanna, & Matthias Schaefer. (2010). Detection of Cytosine Methylation in RNA Using Bisulfite Sequencing. Cold Spring Harbor Protocols. 2010(10). pdb.prot5505–pdb.prot5505. 12 indexed citations

16.

Schaefer, Matthias, Tim Pollex, Hanna Kim, & Frank Lyko. (2008). RNA cytosine methylation analysis by bisulfite sequencing. Nucleic Acids Research. 37(2). e12–e12. 323 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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