Mark Barnett

2.1k total citations · 1 hit paper
32 papers, 1.5k citations indexed

About

Mark Barnett is a scholar working on Molecular Biology, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Mark Barnett has authored 32 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 13 papers in Genetics and 6 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Mark Barnett's work include Insect and Pesticide Research (6 papers), Plant and animal studies (6 papers) and Insect and Arachnid Ecology and Behavior (6 papers). Mark Barnett is often cited by papers focused on Insect and Pesticide Research (6 papers), Plant and animal studies (6 papers) and Insect and Arachnid Ecology and Behavior (6 papers). Mark Barnett collaborates with scholars based in United Kingdom, United States and France. Mark Barnett's co-authors include Tom C. Freeman, Jamie A. Davies, Carolyn E. Fisher, David Hume, J. Kenneth Baillie, Elizabeth A. Jones, Geoffrey J. Faulkner, Peter Heutink, Daniel J. Gerhardt and John S. Mattick and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Mark Barnett

30 papers receiving 1.5k citations

Hit Papers

Somatic retrotransposition alters the genetic landscape o... 2011 2026 2016 2021 2011 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Barnett United Kingdom 20 986 433 331 164 120 32 1.5k
Gerald M. Pao United States 19 1.5k 1.6× 469 1.1× 269 0.8× 149 0.9× 123 1.0× 29 2.1k
Yavuz Ariyürek Netherlands 25 1.8k 1.9× 530 1.2× 380 1.1× 93 0.6× 78 0.7× 40 2.5k
John W. Fondon United States 16 1.1k 1.1× 557 1.3× 281 0.8× 170 1.0× 103 0.9× 19 1.7k
Jane Quinn Australia 20 899 0.9× 335 0.8× 155 0.5× 154 0.9× 77 0.6× 65 1.5k
Jill A. Kreiling United States 20 1.2k 1.3× 245 0.6× 368 1.1× 64 0.4× 161 1.3× 40 1.8k
Owen J. Marshall Australia 15 1.3k 1.4× 301 0.7× 712 2.2× 164 1.0× 287 2.4× 28 1.9k
Peter J. Harte United States 27 2.4k 2.5× 404 0.9× 417 1.3× 211 1.3× 120 1.0× 37 2.7k
Laurence Ettwiller United States 22 2.0k 2.0× 479 1.1× 297 0.9× 176 1.1× 116 1.0× 49 2.5k
Eswar Prasad R. Iyer United States 12 1.4k 1.4× 219 0.5× 135 0.4× 230 1.4× 86 0.7× 19 1.7k
Matthew A. Booker United States 14 1.4k 1.4× 281 0.6× 362 1.1× 448 2.7× 259 2.2× 17 2.0k

Countries citing papers authored by Mark Barnett

Since Specialization
Citations

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

Fields of papers citing papers by Mark Barnett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Barnett

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Barnett. A scholar is included among the top collaborators of Mark Barnett 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 Mark Barnett. Mark Barnett 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.
Candela, Maria Elena, Melisande Addison, Rhona Aird, et al.. (2025). Cryopreserved human alternatively activated macrophages promote resolution of acetaminophen-induced liver injury in mouse. npj Regenerative Medicine. 10(1). 5–5.
2.
Cooper, Rachel, Linda Smith, Graeme Cowan, et al.. (2024). EBV T-cell immunotherapy generated by peptide selection has enhanced effector functionality compared to LCL stimulation. Frontiers in Immunology. 15. 1412211–1412211. 2 indexed citations
5.
Parejo, Melanie, et al.. (2023). AmelHap: Leveraging drone whole-genome sequence data to create a honey bee HapMap. Scientific Data. 10(1). 198–198. 3 indexed citations
6.
Barnett, Mark, et al.. (2020). The transcriptional signature associated with human motile cilia. Scientific Reports. 10(1). 10814–10814. 33 indexed citations
7.
Sandercock, Dale A., Mark Barnett, Alison Downing, et al.. (2019). Transcriptomics Analysis of Porcine Caudal Dorsal Root Ganglia in Tail Amputated Pigs Shows Long-Term Effects on Many Pain-Associated Genes. Frontiers in Veterinary Science. 6. 314–314. 20 indexed citations
8.
Giotti, Bruno, Mark Barnett, Tim Regan, et al.. (2018). Assembly of a parts list of the human mitotic cell cycle machinery. Journal of Molecular Cell Biology. 11(8). 703–718. 55 indexed citations
9.
Regan, Tim, Mark Barnett, Dominik R. Laetsch, et al.. (2018). Characterisation of the British honey bee metagenome. Nature Communications. 9(1). 4995–4995. 53 indexed citations
10.
Regan, Tim, Andrew C. Gill, Sara Clohisey, et al.. (2018). Effects of anti-inflammatory drugs on the expression of tryptophan-metabolism genes by human macrophages. Journal of Leukocyte Biology. 103(4). 681–692. 22 indexed citations
11.
Henriques, Dora, Mark Barnett, Melanie Parejo, et al.. (2018). High sample throughput genotyping for estimating C-lineage introgression in the dark honeybee: an accurate and cost-effective SNP-based tool. Scientific Reports. 8(1). 8552–8552. 29 indexed citations
12.
Xu, Dequan, Simon Lillico, Mark Barnett, et al.. (2012). USP18 restricts PRRSV growth through alteration of nuclear translocation of NF-κB p65 and p50 in MARC-145 cells. Virus Research. 169(1). 264–267. 22 indexed citations
13.
Barnett, Mark, Tania Vitalis, Noboru H. Komiyama, et al.. (2006). Synaptic Ras GTPase Activating Protein Regulates Pattern Formation in the Trigeminal System of Mice. Journal of Neuroscience. 26(5). 1355–1365. 35 indexed citations
14.
Abdel-Majid, Raja M., Mark Barnett, Brandon S. Willis, et al.. (2006). Involvement of Protein Kinase A in Patterning of the Mouse Somatosensory Cortex. Journal of Neuroscience. 26(20). 5393–5401. 32 indexed citations
15.
Haldin, Caroline E., et al.. (2003). Isolation and growth factor inducibility of the Xenopus laevis Lmx1b gene. The International Journal of Developmental Biology. 47(4). 253–262. 17 indexed citations
16.
Barnett, Mark, Carolyn E. Fisher, Georgia Perona‐Wright, & Jamie A. Davies. (2002). Signalling by glial cell line-derived neurotrophic factor (GDNF) requires heparan sulphate glycosaminoglycan. Journal of Cell Science. 115(23). 4495–4503. 83 indexed citations
17.
Nijjar, Sarbjit, et al.. (2002). Annexin IV (Xanx-4)has a functional role in the formation of pronephric tubules. Development. 129(7). 1693–1704. 31 indexed citations
18.
Barnett, Mark, et al.. (2001). Xenopus Enhancer of Zeste (XEZ) ; an anteriorly restricted polycomb gene with a role in neural patterning. Mechanisms of Development. 102(1-2). 157–167. 17 indexed citations
19.
Barnett, Mark, et al.. (2000). Xbra3 Induces Mesoderm and Neural Tissue in Xenopus laevis. Developmental Biology. 222(2). 405–419. 22 indexed citations
20.
Barnett, Mark, et al.. (1995). The molecular biology of temperature-dependent sex determination. Philosophical Transactions of the Royal Society B Biological Sciences. 350(1333). 297–304. 31 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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