Thierry Voet

19.6k citations
96 papers · 8.6k indexed · 8 hit papers · h-index 42

Impact in

Papers in

Thierry Voet

94 papers receiving 8.5k citations

Hit Papers

Methods and applications for single-cell and spatial multi-omics 2023 · 580 citations
5802009202620142020200400600

Peers

Thierry Voet
Comparison fields: 5 of 168
  • Cancer Research 1.5k
  • Biophysics 478
  • Molecular Biology 5.5k
  • Pediatrics, Perinatology and Child Health 1.3k
  • Genetics 1.5k
Replace Peter V. Kharchenko with:
Peter V. Kharchenko United States
Fuchou Tang China
Dominique Figarella‐Branger France
Thaddeus P. Dryja United States
Michael Stadler Germany
James Nemesh United States
Lu Wen China
Tariq Enver United Kingdom
Woong‐Yang Park South Korea
Guo‐Cheng Yuan United States
Thierry Voet relative to Peter V. Kharchenko United States Peter V. Kharchenko's profile →
Citations per field
00.5×8.2×
Peter V. Kharchenko · 1×
Citations per year

Countries citing papers authored by Thierry Voet

Since Specialization
Citations

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

Fields of papers citing papers by Thierry Voet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Thierry Voet, 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 Thierry Voet Line = papers co-authored together Thierry Voet links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20230
4 201928
5 20197
6 201978
7 201845
8 201863
9 201712
10
Parallel single-cell sequencing links transcriptional and epigenetic heterogeneity
Hit paper breakdown →
2016510
11 201664
12
G&T-seq: parallel sequencing of single-cell genomes and transcriptomes
Hit paper breakdown →
2015529
13 2015320
14 2014261
15
Mosaic Copy Number Variation in Human Neurons
Hit paper breakdown →
2013380
16 201292
17 201129
18
Genome-wide single cell array analysis for preimplantation genetic diagnosis of a complex chromosomal rearrangement carrier
20102
19
Haplotyping of single human cells
20091
20 200320

About Thierry Voet

Thierry Voet is a scholar working on Pediatrics, Perinatology and Child Health, Genetics, Cancer Research, Molecular Biology and Biophysics, having authored 96 papers that have together received 8.6k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (26 papers), Prenatal Screening and Diagnostics (26 papers), Genomic variations and chromosomal abnormalities (22 papers), Cancer Genomics and Diagnostics (15 papers), Pluripotent Stem Cells Research (9 papers), Renal and related cancers (9 papers), Chromosomal and Genetic Variations (8 papers) and CRISPR and Genetic Engineering (7 papers). The work is most often cited by research in Cancer Research (1.5k citations), Biophysics (478 citations), Molecular Biology (5.5k citations), Pediatrics, Perinatology and Child Health (1.3k citations) and Genetics (1.5k citations). Thierry Voet has collaborated with scholars based in Belgium, United Kingdom and United States. Frequent co-authors include Iain C. Macaulay, Chris P. Ponting, Joris Vermeesch, Alejandro Sifrim, Katy Vandereyken, Bernard Thienpont, Magdalena Zernicka‐Goetz, Parveen Kumar, Niels van der Aa and Evelyne Vanneste. Their work appears in journals such as Nucleic Acids Research, Human Reproduction, Obstetrical & Gynecological Survey, Nature and Genome Research.

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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