D. Pallett

1.2k total citations
17 papers, 457 citations indexed

About

D. Pallett is a scholar working on Plant Science, Molecular Biology and Water Science and Technology. According to data from OpenAlex, D. Pallett has authored 17 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 4 papers in Molecular Biology and 3 papers in Water Science and Technology. Recurrent topics in D. Pallett's work include Plant Virus Research Studies (8 papers), Chromosomal and Genetic Variations (4 papers) and Hydrology and Watershed Management Studies (2 papers). D. Pallett is often cited by papers focused on Plant Virus Research Studies (8 papers), Chromosomal and Genetic Variations (4 papers) and Hydrology and Watershed Management Studies (2 papers). D. Pallett collaborates with scholars based in United Kingdom, Canada and China. D. Pallett's co-authors include Thiện Hồ, Tamás Dalmay, Hui Wang, Stefanie Schäfer, Hui Wang, Rachel L. Rusholme, Oliver L. Pescott, Jinmin Ma, Paulina Rajko‐Nenow and Hui Wang and has published in prestigious journals such as PLoS ONE, FEBS Letters and Virology.

In The Last Decade

D. Pallett

16 papers receiving 447 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
D. Pallett United Kingdom	12	200	108	89	70	68	17	457
Laura S. England Canada	13	155 0.8×	24 0.2×	43 0.5×	223 3.2×	172 2.5×	17	521
Donald A. Klein United States	13	88 0.4×	23 0.2×	29 0.3×	51 0.7×	113 1.7×	25	516
Stephan Köstlbacher Austria	15	95 0.5×	32 0.3×	49 0.6×	244 3.5×	210 3.1×	23	540
Shuai Du China	16	133 0.7×	19 0.2×	33 0.4×	121 1.7×	229 3.4×	30	638
Anshuman Tripathi India	9	55 0.3×	58 0.5×	16 0.2×	34 0.5×	94 1.4×	13	399
Donát Magyar Hungary	16	372 1.9×	30 0.3×	88 1.0×	86 1.2×	113 1.7×	71	1.1k
Aurore Philibert France	8	201 1.0×	12 0.1×	38 0.4×	21 0.3×	110 1.6×	12	530
Cyril Noël France	11	36 0.2×	28 0.3×	43 0.5×	197 2.8×	197 2.9×	26	438
Gustavo Bueno Gregoracci Brazil	17	88 0.4×	48 0.4×	13 0.1×	227 3.2×	496 7.3×	37	895

Countries citing papers authored by D. Pallett

Since Specialization

Citations

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

Fields of papers citing papers by D. Pallett

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Pallett

This figure shows the co-authorship network connecting the top 25 collaborators of D. Pallett. A scholar is included among the top collaborators of D. Pallett 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 D. Pallett. D. Pallett 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:

17 of 17 papers shown

Ross, Julius G. Bright, Andrew Markham, Michael Noonan, et al.. (2025). Individual Mechanical Energy Expenditure Regimens Vary Seasonally with Weather, Sex, Age and Body Condition in a Generalist Carnivore Population: Support for Inter-Individual Tactical Diversity. Animals. 15(11). 1560–1560.

Andrews, Christopher, D. A. Beaumont, Sue Benham, et al.. (2020). The UK Environmental Change Network datasets – integrated and co-located data for long-term environmental research (1993–2015). Earth system science data. 12(1). 87–107. 9 indexed citations

Jarvie, Helen P., D. Pallett, Stefanie Schäfer, et al.. (2020). Biogeochemical and climate drivers of wetland phosphorus and nitrogen release: Implications for nutrient legacies and eutrophication risk. Journal of Environmental Quality. 49(6). 1703–1716. 32 indexed citations

Pallett, D., Oliver L. Pescott, & Stefanie Schäfer. (2016). Changes in plant species richness and productivity in response to decreased nitrogen inputs in grassland in southern England. Ecological Indicators. 68. 73–81. 26 indexed citations

Dick, Jan, Christopher Andrews, D. A. Beaumont, et al.. (2016). Analysis of temporal change in delivery of ecosystem services over 20 years at long term monitoring sites of the UK Environmental Change Network. Ecological Indicators. 68. 115–125. 12 indexed citations

Evans, Matthew R., Aristides Moustakas, Gregory Carey, et al.. (2015). Allometry and growth of eight tree taxa in United Kingdom woodlands.. Queen Mary Research Online (Queen Mary University of London). 16 indexed citations

Ma, Jinmin, D. Pallett, Hui Jiang, Yong Hou, & Hui Wang. (2015). Mutational bias of Turnip Yellow Mosaic Virus in the context of host anti-viral gene silencing. Virology. 486. 2–6. 2 indexed citations

Malham, Shelagh K., Paulina Rajko‐Nenow, D. Pallett, et al.. (2014). The interaction of human microbial pathogens, particulate material and nutrients in estuarine environments and their impacts on recreational and shellfish waters. Environmental Science Processes & Impacts. 16(9). 2145–2155. 77 indexed citations

Wang, Hui, Jiazheng Xie, Tim G. Shreeve, et al.. (2013). Sequence Recombination and Conservation of Varroa destructor Virus-1 and Deformed Wing Virus in Field Collected Honey Bees (Apis mellifera). PLoS ONE. 8(9). e74508–e74508. 50 indexed citations

10.

Pallett, D., Thiện Hồ, Ian A. Cooper, & Hui Wang. (2010). Detection of Cereal yellow dwarf virus using small interfering RNAs and enhanced infection rate with Cocksfoot streak virus in wild cocksfoot grass (Dactylis glomerata). Journal of Virological Methods. 168(1-2). 223–227. 26 indexed citations

11.

Hồ, Thiện, Liang Wang, Linfeng Huang, et al.. (2010). Nucleotide bias of DCL and AGO in plant anti-virus gene silencing. Protein & Cell. 1(9). 847–858. 21 indexed citations

12.

Pallett, D., et al.. (2009). Proof of concept pilot study: prevalence of grass virus infection and the potential for effects on the allergenic potency of pollen. Environmental Health. 8(S1). S10–S10. 39 indexed citations

13.

Hồ, Thiện, Hui Wang, D. Pallett, & Tamás Dalmay. (2007). Evidence for targeting common siRNA hotspots and GC preference by plant Dicer‐like proteins. FEBS Letters. 581(17). 3267–3272. 66 indexed citations

14.

Hồ, Thiện, D. Pallett, Rachel L. Rusholme, Tamás Dalmay, & Hui Wang. (2006). A simplified method for cloning of short interfering RNAs from Brassica juncea infected with Turnip mosaic potyvirus and Turnip crinkle carmovirus. Journal of Virological Methods. 136(1-2). 217–223. 57 indexed citations

15.

Huang, Linfeng, et al.. (2005). The complete genome sequence, organization and affinities of carrot red leaf virus. Archives of Virology. 150(9). 1845–1855. 19 indexed citations

16.

Charles, Hubert, D. Pallett, Michael Tristem, et al.. (2003). Mutualistic interactions amongst viruses. 205–225. 2 indexed citations

17.

Edwards, M. L., et al.. (2000). Heritable variation for the control of turnip mosaic virus and cauliflower mosaic virus replication in wild cabbage.. 6(3). 4–8. 3 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.

Explore authors with similar magnitude of impact