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.
NCBI GEO: archive for functional genomics data sets—update
20127.1k citationsTanya Barrett, Pierre Ledoux et al.Nucleic Acids Researchprofile →
NCBI GEO: mining tens of millions of expression profiles--database and tools update
20061.1k citationsTanya Barrett, D. B. Troup et al.Nucleic Acids Researchprofile →
NCBI GEO: archive for functional genomics data sets--10 years on
2010863 citationsTanya Barrett, D. B. Troup et al.Nucleic Acids Researchprofile →
NCBI GEO: archive for high-throughput functional genomic data
2008786 citationsTanya Barrett, D. B. Troup et al.Nucleic Acids Researchprofile →
NCBI GEO: archive for gene expression and epigenomics data sets: 23-year update
2023137 citationsEmily Clough, Tanya Barrett et al.Nucleic Acids Researchprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Pierre Ledoux'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 Pierre Ledoux with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierre Ledoux more than expected).
This network shows the impact of papers produced by Pierre Ledoux. 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 Pierre Ledoux. The network helps show where Pierre Ledoux may publish in the future.
Co-authorship network of co-authors of Pierre Ledoux
This figure shows the co-authorship network connecting the top 25 collaborators of Pierre Ledoux.
A scholar is included among the top collaborators of Pierre Ledoux 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 Pierre Ledoux. Pierre Ledoux is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
9 of 9 papers shown
1.
Clough, Emily, Tanya Barrett, S. E. Wilhite, et al.. (2023). NCBI GEO: archive for gene expression and epigenomics data sets: 23-year update. Nucleic Acids Research. 52(D1). D138–D144.137 indexed citations breakdown →
2.
Barrett, Tanya, Pierre Ledoux, Carlos Evangelista, et al.. (2012). NCBI GEO: archive for functional genomics data sets—update. Nucleic Acids Research. 41(D1). D991–D995.7062 indexed citations breakdown →
3.
Barrett, Tanya, D. B. Troup, S. E. Wilhite, et al.. (2010). NCBI GEO: archive for functional genomics data sets--10 years on. Nucleic Acids Research. 39(Database). D1005–D1010.863 indexed citations breakdown →
4.
Barrett, Tanya, D. B. Troup, S. E. Wilhite, et al.. (2008). NCBI GEO: archive for high-throughput functional genomic data. Nucleic Acids Research. 37(Database). D885–D890.786 indexed citations breakdown →
5.
Barrett, Tanya, D. B. Troup, S. E. Wilhite, et al.. (2006). NCBI GEO: mining tens of millions of expression profiles--database and tools update. Nucleic Acids Research. 35(Database). D760–D765.1140 indexed citations breakdown →
Ledoux, Pierre, C R Scriver, & Peter Hechtman. (1996). Expression and molecular analysis of mutations in prolidase deficiency.. PubMed. 59(5). 1035–9.30 indexed citations
9.
Ledoux, Pierre, C R Scriver, & Peter Hechtman. (1994). Four novel PEPD alleles causing prolidase deficiency.. PubMed. 54(6). 1014–21.24 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.