Mick Watson

13.2k total citations · 4 hit papers
188 papers, 6.3k citations indexed

About

Mick Watson is a scholar working on Molecular Biology, Genetics and Agronomy and Crop Science. According to data from OpenAlex, Mick Watson has authored 188 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Molecular Biology, 29 papers in Genetics and 24 papers in Agronomy and Crop Science. Recurrent topics in Mick Watson's work include Genomics and Phylogenetic Studies (32 papers), Ruminant Nutrition and Digestive Physiology (20 papers) and Gut microbiota and health (16 papers). Mick Watson is often cited by papers focused on Genomics and Phylogenetic Studies (32 papers), Ruminant Nutrition and Digestive Physiology (20 papers) and Gut microbiota and health (16 papers). Mick Watson collaborates with scholars based in United Kingdom, United States and Australia. Mick Watson's co-authors include R. Roehe, Laura Glendinning, Marc Auffret, Amanda Warr, Carol-Anne Duthie, R.J. Dewhurst, Alan W. Walker, Christelle Robert, Jolinda Pollock and Robert D. Stewart and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Mick Watson

181 papers receiving 6.2k citations

Hit Papers

The Madness of Microbiome: Attempting To Find Consensus “... 2016 2026 2019 2022 2018 2018 2019 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mick Watson United Kingdom 43 3.0k 1.3k 1000 746 711 188 6.3k
Ian A. Gardner United States 58 889 0.3× 2.6k 2.0× 924 0.9× 865 1.2× 2.2k 3.1× 340 11.5k
Sitao Wu United States 23 6.7k 2.3× 400 0.3× 1.0k 1.0× 2.1k 2.8× 610 0.9× 47 10.4k
Søren Saxmose Nielsen Denmark 44 976 0.3× 1.1k 0.8× 507 0.5× 295 0.4× 1.5k 2.1× 296 6.5k
Heebal Kim South Korea 35 2.0k 0.7× 378 0.3× 1.8k 1.8× 302 0.4× 181 0.3× 257 5.0k
Xiaoquan Wang China 47 2.3k 0.8× 709 0.5× 1.1k 1.1× 304 0.4× 672 0.9× 216 7.0k
Udo Reichl Germany 52 4.9k 1.7× 245 0.2× 1.6k 1.6× 731 1.0× 1.6k 2.2× 313 8.1k
Zhiqiang Lu China 60 2.7k 0.9× 3.0k 2.3× 1.7k 1.7× 556 0.7× 1.5k 2.1× 231 11.3k
Tung Nguyen United States 32 3.8k 1.3× 248 0.2× 3.0k 3.0× 504 0.7× 630 0.9× 129 11.1k
Derrick E. Wood United States 7 3.8k 1.3× 185 0.1× 577 0.6× 2.0k 2.6× 989 1.4× 10 7.1k
Tak‐Wah Lam Hong Kong 27 6.7k 2.3× 321 0.2× 1.3k 1.3× 3.3k 4.4× 735 1.0× 185 12.9k

Countries citing papers authored by Mick Watson

Since Specialization
Citations

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

Fields of papers citing papers by Mick Watson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mick Watson

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

All Works

20 of 20 papers shown
1.
Ghimire, Shristi, Li‐Ting Liu, Jason Villano, et al.. (2025). Safety, Immunogenicity, and Protective Efficacy in Rhesus Macaques of a Novel Recombinant Hemagglutinin Protein Measles Virus Vaccine. The Journal of Infectious Diseases. 232(5). 1239–1248.
2.
Steinert, Robert E., et al.. (2024). In vitro validation of colon delivery of vitamin B2 through a food grade multi-unit particle system. Beneficial Microbes. 16(2). 253–269. 1 indexed citations
3.
Martínez-Álvaro, Marina, Marc Auffret, Carol-Anne Duthie, et al.. (2024). Temporal stability of the rumen microbiome and its longitudinal associations with performance traits in beef cattle. Scientific Reports. 14(1). 20772–20772. 4 indexed citations
4.
Martínez-Álvaro, Marina, et al.. (2023). KOunt: a reproducible KEGG orthologue abundance workflow. Bioinformatics. 39(8). 2 indexed citations
5.
Gilroy, Rachel, Anuradha Ravi, María Getino, et al.. (2021). Extensive microbial diversity within the chicken gut microbiome revealed by metagenomics and culture. PeerJ. 9. e10941–e10941. 123 indexed citations
6.
Dietschi, Elisabeth, Ulrich Rytz, Peter Schawalder, et al.. (2019). An ADAMTS3 missense variant is associated with Norwich Terrier upper airway syndrome. PLoS Genetics. 15(5). e1008102–e1008102. 15 indexed citations
7.
Stewart, Robert D., Marc Auffret, Timothy J. Snelling, R. Roehe, & Mick Watson. (2018). MAGpy: a reproducible pipeline for the downstream analysis of metagenome-assembled genomes (MAGs). Bioinformatics. 35(12). 2150–2152. 25 indexed citations
8.
Pollock, Jolinda, et al.. (2018). The Madness of Microbiome: Attempting To Find Consensus “Best Practice” for 16S Microbiome Studies. Applied and Environmental Microbiology. 84(7). 354 indexed citations breakdown →
10.
Stewart, Robert D., Marc Auffret, Amanda Warr, et al.. (2018). Assembly of 913 microbial genomes from metagenomic sequencing of the cow rumen. Nature Communications. 9(1). 870–870. 352 indexed citations breakdown →
11.
Stewart, Robert D. & Mick Watson. (2017). poRe GUIs for parallel and real-time processing of MinION sequence data. Bioinformatics. 33(14). 2207–2208. 4 indexed citations
12.
Dietrich, Isabelle, Stéphanie Jansen, Gamou Fall, et al.. (2017). RNA Interference Restricts Rift Valley Fever Virus in Multiple Insect Systems. mSphere. 2(3). 49 indexed citations
13.
Roehe, R., R.J. Dewhurst, Carol-Anne Duthie, et al.. (2016). Bovine Host Genetic Variation Influences Rumen Microbial Methane Production with Best Selection Criterion for Low Methane Emitting and Efficiently Feed Converting Hosts Based on Metagenomic Gene Abundance. PLoS Genetics. 12(2). e1005846–e1005846. 240 indexed citations breakdown →
14.
Risse, Judith, Marian Thomson, Sheila Patrick, et al.. (2015). A single chromosome assembly of Bacteroides fragilis strain BE1 from Illumina and MinION nanopore sequencing data. GigaScience. 4(1). 60–60. 43 indexed citations
15.
Watson, Mick, Marian Thomson, Judith Risse, et al.. (2014). poRe: an R package for the visualization and analysis of nanopore sequencing data. Bioinformatics. 31(1). 114–115. 55 indexed citations
16.
Watson, Mick, et al.. (2012). The HAL 9000 Space Operating System Real-Time Planning Engine Design and Operations Requirements. NASA STI Repository (National Aeronautics and Space Administration). 6(1). 39–44. 2 indexed citations
17.
Buser, Michael D., et al.. (2010). Predicting Fiber Quality After Commercial Ginning Based on Fiber Obtained With Laboratory-Scale Gin Stands. ˜The œjournal of cotton science/Journal of cotton science.
18.
Watson, Mick. (2006). CoXpress: differential co-expression in gene expression data. BMC Bioinformatics. 7(1). 509–509. 117 indexed citations
19.
Kaiser, Pete, Tuang Yeow Poh, Lisa Rothwell, et al.. (2005). A Genomic Analysis of Chicken Cytokines and Chemokines. Journal of Interferon & Cytokine Research. 25(8). 467–484. 179 indexed citations
20.
Rakoczy, P. Elizabeth, May C. Lai, Mick Watson, Ulrich Seydel, & Ian J. Constable. (1996). Targeted Delivery of an Antisense Oligonucleotide in the Retina: Uptake, Distribution, Stability, and Effect. Antisense and Nucleic Acid Drug Development. 6(3). 207–213. 26 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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