Pascal Preker

2.3k total citations · 1 hit paper
13 papers, 1.8k citations indexed

About

Pascal Preker is a scholar working on Molecular Biology, Biomaterials and Cell Biology. According to data from OpenAlex, Pascal Preker has authored 13 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 1 paper in Biomaterials and 1 paper in Cell Biology. Recurrent topics in Pascal Preker's work include RNA Research and Splicing (12 papers), RNA and protein synthesis mechanisms (8 papers) and RNA modifications and cancer (7 papers). Pascal Preker is often cited by papers focused on RNA Research and Splicing (12 papers), RNA and protein synthesis mechanisms (8 papers) and RNA modifications and cancer (7 papers). Pascal Preker collaborates with scholars based in Switzerland, Denmark and United States. Pascal Preker's co-authors include Lionel Minvielle-Sébastia, Walter Keller, Torben Heick Jensen, Christophe K. Mapendano, Susanne Kammler, Søren Lykke‐Andersen, Mikkel Heide Schierup, Jesper S. Nielsen, Walter Keller and Eivind Valen and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Pascal Preker

13 papers receiving 1.8k 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 Exosome Depletion Reveals Transcription Upstream of Active Human Promoters

2008 587 citations Pascal Preker, Jesper S. Nielsen et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pascal Preker Switzerland	13	1.7k	373	120	51	36	13	1.8k
Karen J. Goodrich United States	20	1.9k 1.1×	673 1.8×	148 1.2×	112 2.2×	15 0.4×	22	2.0k
Raymond T. O’Keefe United Kingdom	19	1.4k 0.8×	149 0.4×	122 1.0×	128 2.5×	81 2.3×	48	1.5k
Emily J. Wood United States	7	967 0.6×	334 0.9×	51 0.4×	110 2.2×	19 0.5×	8	1.3k
Dafne Campigli Di Giammartino United States	14	1.5k 0.9×	180 0.5×	118 1.0×	66 1.3×	48 1.3×	18	1.6k
Michaela Beitzinger Germany	11	1.2k 0.7×	774 2.1×	77 0.6×	42 0.8×	37 1.0×	12	1.4k
Edyta Kościańska Poland	12	934 0.6×	716 1.9×	140 1.2×	29 0.6×	11 0.3×	16	1.1k
Mi-Jeong Yoon South Korea	5	755 0.4×	421 1.1×	42 0.3×	94 1.8×	52 1.4×	7	955
Noah Spies United States	10	1.3k 0.8×	659 1.8×	147 1.2×	153 3.0×	16 0.4×	14	1.5k
Natalia Martínez Spain	12	843 0.5×	310 0.8×	131 1.1×	47 0.9×	37 1.0×	14	963
Yoshinari Ando Japan	15	842 0.5×	452 1.2×	63 0.5×	104 2.0×	20 0.6×	27	1.0k

Countries citing papers authored by Pascal Preker

Since Specialization

Citations

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

Fields of papers citing papers by Pascal Preker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pascal Preker

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

All Works

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13 of 13 papers shown

Ntini, Evgenia, Aino I. Järvelin, Jette Bornholdt, et al.. (2013). Polyadenylation site–induced decay of upstream transcripts enforces promoter directionality. Nature Structural & Molecular Biology. 20(8). 923–928. 216 indexed citations

Valen, Eivind, Pascal Preker, Peter Refsing Andersen, et al.. (2011). Biogenic mechanisms and utilization of small RNAs derived from human protein-coding genes. Nature Structural & Molecular Biology. 18(9). 1075–1082. 80 indexed citations

Preker, Pascal, et al.. (2011). PROMoter uPstream Transcripts share characteristics with mRNAs and are produced upstream of all three major types of mammalian promoters. Nucleic Acids Research. 39(16). 7179–7193. 124 indexed citations

Preker, Pascal, Jesper S. Nielsen, Susanne Kammler, et al.. (2008). RNA Exosome Depletion Reveals Transcription Upstream of Active Human Promoters. Science. 322(5909). 1851–1854. 587 indexed citations breakdown →

Preker, Pascal & Christine Guthrie. (2006). Autoregulation of the mRNA export factor Yra1p requires inefficient splicing of its pre-mRNA. RNA. 12(6). 994–1006. 41 indexed citations

Preker, Pascal, Karen S. Kim Guisbert, & Christine Guthrie. (2002). Expression of the essential mRNA export factor Yra1p is autoregulated by a splicing-dependent mechanism. RNA. 8(8). 969–980. 44 indexed citations

Preker, Pascal & Walter Keller. (1998). The HAT helix, a repetitive motif implicated in RNA processing. Trends in Biochemical Sciences. 23(1). 15–16. 77 indexed citations

Preker, Pascal. (1997). A multisubunit 3' end processing factor from yeast containing poly(A) polymerase and homologues of the subunits of mammalian cleavage and polyadenylation specificity factor. The EMBO Journal. 16(15). 4727–4737. 81 indexed citations

Minvielle-Sébastia, Lionel, et al.. (1997). The major yeast poly(A)-binding protein is associated with cleavage factor IA and functions in premessenger RNA 3′-end formation. Proceedings of the National Academy of Sciences. 94(15). 7897–7902. 141 indexed citations

10.

Jenny, Andreas, Lionel Minvielle-Sébastia, Pascal Preker, & Walter Keller. (1996). Sequence Similarity Between the 73-Kilodalton Protein of Mammalian CPSF and a Subunit of Yeast Polyadenylation Factor I. Science. 274(5292). 1514–1517. 96 indexed citations

11.

Preker, Pascal, Joachim Lingner, Lionel Minvielle-Sébastia, & Walter Keller. (1995). The FIP1 gene encodes a component of a yeast pre-mRNA polyadenylation factor that directly interacts with poly(A) polymerase. Cell. 81(3). 379–389. 120 indexed citations

12.

Minvielle-Sébastia, Lionel, Pascal Preker, & Walter Keller. (1994). RNA14 and RNA15 Proteins as Components of a Yeast Pre-mRNA 3′-End Processing Factor. Science. 266(5191). 1702–1705. 142 indexed citations

13.

Preker, Pascal, Philipp Hübner, Manfred Schmehl, Werner Klipp, & Thomas A. Bickle. (1992). Mapping and characterization of the promoter elements of the regulatory nif genes rpoN, nifA1 and nifA2 in Rhodobacter capsulatus. Molecular Microbiology. 6(8). 1035–1047. 31 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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