Pascale Pochart

7.2k total citations · 1 hit paper
6 papers, 3.8k citations indexed

About

Pascale Pochart is a scholar working on Molecular Biology, Ecology and Pathology and Forensic Medicine. According to data from OpenAlex, Pascale Pochart has authored 6 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Ecology and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Pascale Pochart's work include RNA Research and Splicing (3 papers), RNA modifications and cancer (2 papers) and Fungal and yeast genetics research (2 papers). Pascale Pochart is often cited by papers focused on RNA Research and Splicing (3 papers), RNA modifications and cancer (2 papers) and Fungal and yeast genetics research (2 papers). Pascale Pochart collaborates with scholars based in France, United States and Poland. Pascale Pochart's co-authors include Ted Kalbfleisch, Ying Li, Bailey Godwin, Jonathan M. Rothberg, James Knight, Mark Johnston, Daniel Lockshon, Vaibhav A. Narayan, Maithreyan Srinivasan and Gerard Cagney and has published in prestigious journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Pascale Pochart

6 papers receiving 3.6k citations

Hit Papers

align trajectories sort by overperformance

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.

A comprehensive analysis of protein–protein interactions in Saccharomyces cerevisiae

2000 3.6k citations Peter Uetz, Loïc Giot et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pascale Pochart France	6	3.5k	514	403	282	210	6	3.8k
Loïc Giot United States	10	3.9k 1.1×	586 1.1×	412 1.0×	298 1.1×	212 1.0×	11	4.3k
Maithreyan Srinivasan United States	11	4.0k 1.1×	565 1.1×	403 1.0×	285 1.0×	184 0.9×	13	4.4k
Meijia Yang United States	12	4.1k 1.2×	580 1.1×	410 1.0×	298 1.1×	204 1.0×	22	4.6k
Bailey Godwin United States	1	3.4k 1.0×	499 1.0×	403 1.0×	282 1.0×	169 0.8×	2	3.6k
Tomoko Chiba Japan	10	3.3k 0.9×	520 1.0×	483 1.2×	244 0.9×	181 0.9×	25	3.7k
Ashton Breitkreutz Canada	15	2.8k 0.8×	513 1.0×	338 0.8×	278 1.0×	204 1.0×	15	3.4k
Ronald Jansen United States	18	4.4k 1.2×	346 0.7×	475 1.2×	480 1.7×	292 1.4×	29	4.9k
Andrew Chatr‐aryamontri United States	18	4.7k 1.3×	386 0.8×	861 2.1×	270 1.0×	172 0.8×	29	5.5k
Rose Oughtred United States	18	4.8k 1.4×	401 0.8×	884 2.2×	274 1.0×	216 1.0×	24	5.6k
Michael Cornell United Kingdom	12	2.2k 0.6×	267 0.5×	347 0.9×	132 0.5×	139 0.7×	16	2.7k

Countries citing papers authored by Pascale Pochart

Since Specialization

Citations

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

Fields of papers citing papers by Pascale Pochart

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pascale Pochart

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Simen, Birgitte B., et al.. (2011). High‐Throughput Sequencing of PCR Products Tagged with Universal Primers Using 454 Life Sciences Systems. Current Protocols in Molecular Biology. 96(1). 28 indexed citations

2.

Uetz, Peter, Loïc Giot, Gerard Cagney, et al.. (2000). A comprehensive analysis of protein–protein interactions in Saccharomyces cerevisiae. Nature. 403(6770). 623–627. 3577 indexed citations breakdown →

3.

Pochart, Pascale, et al.. (1997). Conserved Properties between Functionally Distinct MutS Homologs in Yeast. Journal of Biological Chemistry. 272(48). 30345–30349. 105 indexed citations

4.

Pochart, Pascale, et al.. (1993). A very poorly expressed tRNA^Seris highly concentrated together with replication primer initiator tRNA^Metin the yeast Ty1 virus-like particles. Nucleic Acids Research. 21(7). 1517–1521. 14 indexed citations

5.

Pochart, Pascale, et al.. (1993). Biochemical and electron microscope analyses of the DNA reverse transcripts present in the virus-like particles of the yeast transposon Ty1. Identification of a second origin of Ty1DNA plus strand synthesis. Nucleic Acids Research. 21(15). 3513–3520. 34 indexed citations

6.

Desgrès, J, et al.. (1990). Eukaryotic tRNAsPro: Primary structure of the anticodon loop; presence of 5-carbamoylmethyluridine or inosine as the first nucleoside of the anticodon. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1049(3). 255–260. 20 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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