Raphaël Gottardo

44.5k citations
132 papers · 9.6k · 5 hit papers · h-index 43

Impact in

  • Biophysics top 0.2%
    • Cell Image Analysis Techniques
  • Immunology top 1%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • Immune Cell Function and Interaction 18
    • T-cell and B-cell Immunology 17
    • HIV Research and Treatment 12

Raphaël Gottardo

127 papers receiving 9.5k citations

Raphaël Gottardo's Hit Papers

Spatial transcriptomics at subspot resolution with BayesSpace 2021 · 552 citations
5520+4+8Years since publication50010001.5k

Peers

Raphaël Gottardo
Comparison fields: 5 of 180
  • Biophysics 712
  • Immunology 2.3k
  • Virology 420
  • Molecular Biology 5.4k
  • Cancer Research 888
Replace Greg Finak with:
Greg Finak United States
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Citations per field
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Citations per year

Countries citing papers authored by Raphaël Gottardo

Since Specialization
Citations

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

Fields of papers citing papers by Raphaël Gottardo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Raphaël Gottardo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Raphaël Gottardo Line = papers co-authored together Raphaël Gottardo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 132 papers — load more, or switch the sort, to bring in the rest.

#Work
1
MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data
Hit paper breakdown →
20151684
2
Spatial transcriptomics at subspot resolution with BayesSpace
Hit paper breakdown →
2021552
3
Exosomes in human semen carry a distinctive repertoire of small non-coding RNAs with potential regulatory functions
Hit paper breakdown →
2014489
4
Orchestrating single-cell analysis with Bioconductor
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2019478
5 2013439
6
Safety and immunogenicity of a mRNA rabies vaccine in healthy adults: an open-label, non-randomised, prospective, first-in-human phase 1 clinical trial
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2017416
7 2018365
8 2006325
9 2020259
10 2012248
11 2010237
12 2008204
13 2020197
14 2013196
15 2014147
16 2009141
17 2021136
18 2016115
19 2021114
20 200988

About Raphaël Gottardo

Raphaël Gottardo is a scholar working on Immunology, Virology, Molecular Biology, Biophysics and Statistics and Probability, having authored 132 papers that have together received 9.6k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (37 papers), Gene expression and cancer classification (31 papers), Immune Cell Function and Interaction (18 papers), T-cell and B-cell Immunology (17 papers), HIV Research and Treatment (12 papers), Cell Image Analysis Techniques (12 papers), CAR-T cell therapy research (11 papers) and Bayesian Methods and Mixture Models (10 papers). The work is most often cited by research in Biophysics (712 citations), Immunology (2.3k citations), Virology (420 citations), Molecular Biology (5.4k citations) and Cancer Research (888 citations). Raphaël Gottardo has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Greg Finak, Andrew McDavid, Ryan R. Brinkman, Kenneth Lo, Martin Prlic, M. Juliana McElrath, Peter S. Linsley, Chloe K. Slichter, Vivian H. Gersuk and Masanao Yajima. Their work appears in journals such as Bioinformatics, Cytometry Part A, Nature Communications, Nature Biotechnology and The Journal of Immunology.

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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