Renaud Gaujoux

5.5k total citations · 2 hit papers
16 papers, 3.1k citations indexed

About

Renaud Gaujoux is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Renaud Gaujoux has authored 16 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Genetics and 5 papers in Immunology. Recurrent topics in Renaud Gaujoux's work include Single-cell and spatial transcriptomics (6 papers), Gene expression and cancer classification (4 papers) and interferon and immune responses (2 papers). Renaud Gaujoux is often cited by papers focused on Single-cell and spatial transcriptomics (6 papers), Gene expression and cancer classification (4 papers) and interferon and immune responses (2 papers). Renaud Gaujoux collaborates with scholars based in Israel, United States and South Africa. Renaud Gaujoux's co-authors include Cathal Seoighe, Shai S. Shen-Orr, Bridget K. Wagner, Adrian Veres, Amedeo Vetere, Itai Yanai, Samuel L. Wolock, Douglas A. Melton, Allon M. Klein and Maayan Baron and has published in prestigious journals such as Nature Medicine, Immunity and Bioinformatics.

In The Last Decade

Renaud Gaujoux

16 papers receiving 3.0k 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.

A Single-Cell Transcriptomic Map of the Human and Mouse Pancreas Reveals Inter- and Intra-cell Population Structure

2016 913 citations Maayan Baron, Adrian Veres et al. Cell Systems profile →
A flexible R package for nonnegative matrix factorization

2010 911 citations Renaud Gaujoux, Cathal Seoighe BMC Bioinformatics profile →

Peers

Renaud Gaujoux

IMMUN

GENET

SURGE

Kerstin B. Meyer United Kingdom

Jihwan Park South Korea

Laura L. Elo Finland

Neil R. Clark United States

Edward Y. Chen United States

Lolita Penland United States

Jack Pollard United States

Cecilia Lindskog Sweden

Lukas M. Simon United States

Kerstin B. Meyer United Kingdom

Renaud Gaujoux

2.1k ×1.2

707 ×1.1

IMMUN

735 ×1.2

428 ×0.9

GENET

320 ×0.9

SURGE

Citations per year, relative to Renaud Gaujoux Renaud Gaujoux (= 1×) peers Kerstin B. Meyer

Countries citing papers authored by Renaud Gaujoux

Since Specialization

Citations

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

Fields of papers citing papers by Renaud Gaujoux

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renaud Gaujoux

This figure shows the co-authorship network connecting the top 25 collaborators of Renaud Gaujoux. A scholar is included among the top collaborators of Renaud Gaujoux 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 Renaud Gaujoux. Renaud Gaujoux 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

Starosvetsky, Elina, Renaud Gaujoux, Alexandra Blatt, et al.. (2023). A personalized network framework reveals predictive axis of anti-TNF response across diseases. Cell Reports Medicine. 5(1). 101300–101300. 5 indexed citations

Gaujoux, Renaud, et al.. (2020). DNAMethylation Associated with Mitochondrial Dysfunction in a South African Autism Spectrum Disorder Cohort. Autism Research. 13(7). 1079–1093. 34 indexed citations

Gaujoux, Renaud. (2020). Generic Reproducible Parallel Backend for 'foreach' Loops [R package doRNG version 1.8.2]. 1 indexed citations

Alpert, Ayelet, Yishai Pickman, Michael D. Leipold, et al.. (2019). A clinically meaningful metric of immune age derived from high-dimensional longitudinal monitoring. Nature Medicine. 25(3). 487–495. 292 indexed citations

Normand, Rachelly, et al.. (2018). Found In Translation: a machine learning model for mouse-to-human inference. Nature Methods. 15(12). 1067–1073. 48 indexed citations

Gaujoux, Renaud, Elina Starosvetsky, Francesco Vallania, et al.. (2018). Cell-centred meta-analysis reveals baseline predictors of anti-TNFα non-response in biopsy and blood of patients with IBD. Gut. 68(4). 604–614. 141 indexed citations

Gaujoux, Renaud, Elina Starosvetsky, Francesco Vallania, et al.. (2018). P082 A cell-centred meta-analysis reveals baseline predictors of anti-TNFα non-response in biopsy and blood of IBD patients. Journal of Crohn s and Colitis. 12(supplement_1). S133–S134. 2 indexed citations

Baron, Maayan, Adrian Veres, Samuel L. Wolock, et al.. (2016). A Single-Cell Transcriptomic Map of the Human and Mouse Pancreas Reveals Inter- and Intra-cell Population Structure. Cell Systems. 3(4). 346–360.e4. 913 indexed citations breakdown →

Labi, Verena, Rostislav Novak, Renaud Gaujoux, et al.. (2016). A c-Myc/miR17-92/Pten Axis Controls PI3K-Mediated Positive and Negative Selection in B Cell Development and Reconstitutes CD19 Deficiency. Cell Reports. 16(2). 419–431. 40 indexed citations

10.

Nakaya, Helder I., Thomas Hagan, Sai Duraisingham, et al.. (2015). Systems Analysis of Immunity to Influenza Vaccination across Multiple Years and in Diverse Populations Reveals Shared Molecular Signatures. Immunity. 43(6). 1186–1198. 211 indexed citations

11.

Qian, Feng, Gautam Goel, Hailong Meng, et al.. (2014). Systems Immunology Reveals Markers of Susceptibility to West Nile Virus Infection. Clinical and Vaccine Immunology. 22(1). 6–16. 28 indexed citations

12.

Shen-Orr, Shai S. & Renaud Gaujoux. (2013). Computational deconvolution: extracting cell type-specific information from heterogeneous samples. Current Opinion in Immunology. 25(5). 571–578. 194 indexed citations

13.

Gaujoux, Renaud & Cathal Seoighe. (2013). CellMix: a comprehensive toolbox for gene expression deconvolution. Bioinformatics. 29(17). 2211–2212. 132 indexed citations

14.

Gaujoux, Renaud & Cathal Seoighe. (2011). Semi-supervised Nonnegative Matrix Factorization for gene expression deconvolution: A case study. Infection Genetics and Evolution. 12(5). 913–921. 91 indexed citations

15.

Wamalwa, Mark, et al.. (2011). NASP: a parallel program for identifying evolutionarily conserved nucleic acid secondary structures from nucleotide sequence alignments. Bioinformatics. 27(17). 2443–2445. 8 indexed citations

16.

Gaujoux, Renaud & Cathal Seoighe. (2010). A flexible R package for nonnegative matrix factorization. BMC Bioinformatics. 11(1). 367–367. 911 indexed citations breakdown →

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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