Michaël Vacher

2.7k total citations · 1 hit paper
19 papers, 1.2k citations indexed

About

Michaël Vacher is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Michaël Vacher has authored 19 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Physiology. Recurrent topics in Michaël Vacher's work include Genetic Associations and Epidemiology (4 papers), Alzheimer's disease research and treatments (4 papers) and Bioinformatics and Genomic Networks (3 papers). Michaël Vacher is often cited by papers focused on Genetic Associations and Epidemiology (4 papers), Alzheimer's disease research and treatments (4 papers) and Bioinformatics and Genomic Networks (3 papers). Michaël Vacher collaborates with scholars based in Australia, United States and Canada. Michaël Vacher's co-authors include Benoît Gautier, Scott J. Tebbutt, Kim‐Anh Lê Cao, Casey P. Shannon, Amrit Singh, Florian Rohart, Ian Small, Ian Castleden, Sandra K. Tanz and A. Harvey Millar and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Scientific Reports.

In The Last Decade

Michaël Vacher

17 papers receiving 1.2k 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.

DIABLO: an integrative approach for identifying key molecular drivers from multi-omics assays

2019 557 citations Amrit Singh, Casey P. Shannon et al. Bioinformatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michaël Vacher Australia	11	788	245	96	79	62	19	1.2k
Heng Jiang China	23	925 1.2×	189 0.8×	60 0.6×	191 2.4×	69 1.1×	87	1.5k
Xingang Li China	21	415 0.5×	234 1.0×	43 0.4×	118 1.5×	74 1.2×	94	1.1k
Dawoon Jung South Korea	23	543 0.7×	79 0.3×	55 0.6×	150 1.9×	152 2.5×	69	1.9k
Ramani A. Kandasamy United States	18	1.1k 1.4×	234 1.0×	77 0.8×	64 0.8×	64 1.0×	19	1.6k
Richard Baran United States	18	986 1.3×	205 0.8×	102 1.1×	75 0.9×	312 5.0×	25	1.6k
Junichi Maruyama Japan	24	812 1.0×	85 0.3×	139 1.4×	44 0.6×	85 1.4×	87	1.9k
Antje Krüger Germany	21	1.2k 1.5×	457 1.9×	164 1.7×	125 1.6×	182 2.9×	29	2.3k
Linh Hoang United States	19	544 0.7×	49 0.2×	85 0.9×	39 0.5×	124 2.0×	31	1.1k
Josh L. Espinoza United States	17	621 0.8×	77 0.3×	64 0.7×	81 1.0×	170 2.7×	30	1.1k

Countries citing papers authored by Michaël Vacher

Since Specialization

Citations

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

Fields of papers citing papers by Michaël Vacher

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michaël Vacher

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

All Works

Sort: Min cites: Since: Top N: Style:

19 of 19 papers shown

Kendall, Kristina L., et al.. (2024). The physiological consequences of and recovery following the Australian Special Forces Selection Course. Applied Physiology Nutrition and Metabolism. 50. 1–13.

Farah, Camile S., et al.. (2024). Global gene expression profile of proliferative verrucous leukoplakia and its underlying biological disease mechanisms. Oral Oncology. 151. 106737–106737. 1 indexed citations

Vacher, Michaël, Rodrigo Cánovas, Simon M. Laws, & James D. Doecke. (2024). A comprehensive multi-omics analysis reveals unique signatures to predict Alzheimer’s disease. Australasian Journal of Paramedicine. 4. 1390607–1390607. 9 indexed citations

Marston, Kieran J., Jaisalmer de Frutos‐Lucas, Tenielle Porter, et al.. (2024). Exploration of Alzheimer's disease-related gene expression following high-intensity and moderate-intensity exercise interventions. Journal of science and medicine in sport. 27(12). 828–833. 2 indexed citations

Milicic, Lidija, Tenielle Porter, Michaël Vacher, & Simon M. Laws. (2023). Utility of DNA Methylation as a Biomarker in Aging and Alzheimer’s Disease. Journal of Alzheimer s Disease Reports. 7(1). 475–503. 14 indexed citations

Vacher, Michaël, Vincent Doré, Tenielle Porter, et al.. (2022). Assessment of a polygenic hazard score for the onset of pre-clinical Alzheimer’s disease. BMC Genomics. 23(1). 401–401. 3 indexed citations

Fox, Simon A., Michaël Vacher, & Camile S. Farah. (2022). Transcriptomic Biomarker Signatures for Discrimination of Oral Cancer Surgical Margins. Biomolecules. 12(3). 464–464. 11 indexed citations

Brown, Belinda M., Tenielle Porter, Natalie Frost, et al.. (2022). Non-Modifiable Factors as Moderators of the Relationship Between Physical Activity and Brain Volume: A Cross-Sectional UK Biobank Study. Journal of Alzheimer s Disease. 88(3). 1091–1101. 9 indexed citations

Farah, Camile S., et al.. (2021). Lichenoid dysplasia is not a distinct pathological entity. Oral Oncology. 119. 105362–105362. 18 indexed citations

10.

Vacher, Michaël, Tenielle Porter, Lidija Milicic, et al.. (2021). Identification of neurodevelopmental gene variants implicated in age‐related brain morphological changes and cortical atrophy. Alzheimer s & Dementia. 17(S5).

11.

Singh, Amrit, Casey P. Shannon, Benoît Gautier, et al.. (2019). DIABLO: an integrative approach for identifying key molecular drivers from multi-omics assays. Bioinformatics. 35(17). 3055–3062. 557 indexed citations breakdown →

12.

Vacher, Michaël, Tenielle Porter, Victor L. Villemagne, et al.. (2019). Validation of a priori candidate Alzheimer’s disease SNPs with brain amyloid-beta deposition. Scientific Reports. 9(1). 17069–17069. 13 indexed citations

13.

Vacher, Michaël & Ian Small. (2019). Simulation of heterosis in a genome-scale metabolic network provides mechanistic explanations for increased biomass production rates in hybrid plants. npj Systems Biology and Applications. 5(1). 24–24. 9 indexed citations

14.

Gutmann, Bernard, Mareike Schallenberg‐Rüdinger, H. Lenz, et al.. (2019). The Expansion and Diversification of Pentatricopeptide Repeat RNA-Editing Factors in Plants. Molecular Plant. 13(2). 215–230. 84 indexed citations

15.

Petus, Caroline, Jane Waterhouse, Stephen Lewis, et al.. (2019). A flood of information: Using Sentinel-3 water colour products to assure continuity in the monitoring of water quality trends in the Great Barrier Reef (Australia). Journal of Environmental Management. 248. 109255–109255. 26 indexed citations

16.

Pagès, Anaïs, David T. Welsh, Peter R. Teasdale, et al.. (2014). Diel fluctuations in solute distributions and biogeochemical cycling in a hypersaline microbial mat from Shark Bay, WA. Marine Chemistry. 167. 102–112. 52 indexed citations

17.

Pagès, Anaïs, Kliti Grice, Michaël Vacher, et al.. (2014). Characterizing microbial communities and processes in a modern stromatolite ( S hark B ay) using lipid biomarkers and two‐dimensional distributions of porewater solutes. Environmental Microbiology. 16(8). 2458–2474. 22 indexed citations

18.

Hooper, Cornelia M., Sandra K. Tanz, Ian Castleden, et al.. (2014). SUBAcon: a consensus algorithm for unifying the subcellular localization data of the Arabidopsis proteome. Bioinformatics. 30(23). 3356–3364. 137 indexed citations

19.

Tanz, Sandra K., Ian Castleden, Cornelia M. Hooper, et al.. (2012). SUBA3: a database for integrating experimentation and prediction to define the SUBcellular location of proteins in Arabidopsis. Nucleic Acids Research. 41(D1). D1185–D1191. 236 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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