Vincent Hahaut

548 total citations
10 papers, 292 citations indexed

About

Vincent Hahaut is a scholar working on Agronomy and Crop Science, Immunology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Vincent Hahaut has authored 10 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Agronomy and Crop Science, 7 papers in Immunology and 5 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Vincent Hahaut's work include Animal Disease Management and Epidemiology (8 papers), T-cell and Retrovirus Studies (7 papers) and Vector-Borne Animal Diseases (5 papers). Vincent Hahaut is often cited by papers focused on Animal Disease Management and Epidemiology (8 papers), T-cell and Retrovirus Studies (7 papers) and Vector-Borne Animal Diseases (5 papers). Vincent Hahaut collaborates with scholars based in Belgium, France and Canada. Vincent Hahaut's co-authors include Maria Artesi, Anne Van den Broeke, Michel Georges, Keith Durkin, Nicolas Rosewick, Arsène Burny, Philip Griebel, Natasa Arsic, Olivier Hermine and Ambroise Marçais and has published in prestigious journals such as Nature Communications, Nature Biotechnology and Genome biology.

In The Last Decade

Vincent Hahaut

10 papers receiving 285 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vincent Hahaut Belgium	8	195	154	114	103	36	10	292
Nicolas Rosewick Belgium	8	242 1.2×	197 1.3×	148 1.3×	78 0.8×	46 1.3×	15	327
Sébastien Legros Belgium	4	209 1.1×	149 1.0×	144 1.3×	78 0.8×	11 0.3×	10	279
Mohamed Mahgoub Japan	7	242 1.2×	199 1.3×	192 1.7×	153 1.5×	12 0.3×	9	413
Amel‐Baya Bouzar Belgium	4	325 1.7×	262 1.7×	204 1.8×	54 0.5×	17 0.5×	5	351
Laurie M. Connor United States	6	324 1.7×	250 1.6×	238 2.1×	118 1.1×	37 1.0×	8	452
S M Pettiford United States	9	256 1.3×	167 1.1×	174 1.5×	145 1.4×	17 0.5×	9	401
R. Kettmann Belgium	7	283 1.5×	224 1.5×	187 1.6×	70 0.7×	12 0.3×	12	332
Tsukasa Koiwa Japan	6	203 1.0×	140 0.9×	134 1.2×	103 1.0×	24 0.7×	8	347
Rie Furuta Japan	7	280 1.4×	198 1.3×	193 1.7×	77 0.7×	7 0.2×	10	365
Delphine Collete Belgium	6	100 0.5×	82 0.5×	71 0.6×	54 0.5×	7 0.2×	7	173

Countries citing papers authored by Vincent Hahaut

Since Specialization

Citations

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

Fields of papers citing papers by Vincent Hahaut

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vincent Hahaut

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

All Works

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10 of 10 papers shown

Hahaut, Vincent, Dinko Pavlinić, Walter Carbone, et al.. (2022). Fast and highly sensitive full-length single-cell RNA sequencing using FLASH-seq. Nature Biotechnology. 40(10). 1447–1451. 53 indexed citations

Hahaut, Vincent & Simone Picelli. (2022). Full-Length Single-Cell RNA-Sequencing with FLASH-seq. Methods in molecular biology. 2584. 123–164. 8 indexed citations

Artesi, Maria, Vincent Hahaut, Ambroise Marçais, et al.. (2021). PCIP-seq: simultaneous sequencing of integrated viral genomes and their insertion sites with long reads. Genome biology. 22(1). 97–97. 29 indexed citations

Artesi, Maria, Vincent Hahaut, Ambroise Marçais, et al.. (2021). GIGA-AnimalGenomics-BLV/PCIP: PCIP-seq: simultaneous sequencing of integrated viral genomes and their insertion sites with long reads. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

Marçais, Ambroise, Ludovic Lhermitte, Maria Artesi, et al.. (2020). Targeted deep sequencing reveals clonal and subclonal mutational signatures in Adult T-cell leukemia/lymphoma and defines an unfavorable indolent subtype. Leukemia. 35(3). 764–776. 21 indexed citations

Rosewick, Nicolas, Vincent Hahaut, Keith Durkin, et al.. (2020). An Improved Sequencing-Based Bioinformatics Pipeline to Track the Distribution and Clonal Architecture of Proviral Integration Sites. Frontiers in Microbiology. 11. 587306–587306. 6 indexed citations

Blin, Juliana, Emiliano P. Ricci, Maria Artesi, et al.. (2018). PDZ domain-binding motif of Tax sustains T-cell proliferation in HTLV-1-infected humanized mice. PLoS Pathogens. 14(3). e1006933–e1006933. 20 indexed citations

Rosewick, Nicolas, Keith Durkin, Maria Artesi, et al.. (2017). Cis-perturbation of cancer drivers by the HTLV-1/BLV proviruses is an early determinant of leukemogenesis. Nature Communications. 8(1). 15264–15264. 73 indexed citations

Artesi, Maria, Ambroise Marçais, Keith Durkin, et al.. (2017). Monitoring molecular response in adult T-cell leukemia by high-throughput sequencing analysis of HTLV-1 clonality. Leukemia. 31(11). 2532–2535. 17 indexed citations

10.

Durkin, Keith, Nicolas Rosewick, Maria Artesi, et al.. (2016). Characterization of novel Bovine Leukemia Virus (BLV) antisense transcripts by deep sequencing reveals constitutive expression in tumors and transcriptional interaction with viral microRNAs. Retrovirology. 13(1). 33–33. 64 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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