M.S. Davies

3.4k total citations
114 papers, 2.6k citations indexed

About

M.S. Davies is a scholar working on Plant Science, Control and Systems Engineering and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, M.S. Davies has authored 114 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Plant Science, 21 papers in Control and Systems Engineering and 14 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in M.S. Davies's work include Plant responses to water stress (13 papers), Plant Stress Responses and Tolerance (12 papers) and Aluminum toxicity and tolerance in plants and animals (11 papers). M.S. Davies is often cited by papers focused on Plant responses to water stress (13 papers), Plant Stress Responses and Tolerance (12 papers) and Aluminum toxicity and tolerance in plants and animals (11 papers). M.S. Davies collaborates with scholars based in United Kingdom, Canada and United States. M.S. Davies's co-authors include R. W. Snaydon, G. C. Hillman, Dennis Francis, Guy A. Dumont, John Etherington, Steve Waldren, K. L. DAVIES, R K Craig, Peter W. Barlow and D. R. Marshall and has published in prestigious journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

M.S. Davies

109 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M.S. Davies United Kingdom	26	1.2k	461	423	421	245	114	2.6k
Hua Peng China	31	1.6k 1.3×	1.4k 3.0×	827 2.0×	329 0.8×	94 0.4×	247	3.6k
Vladimir D. Stevanović Serbia	25	722 0.6×	360 0.8×	615 1.5×	101 0.2×	131 0.5×	132	2.1k
Mikko J. Sillanpää Finland	32	1.8k 1.5×	1.1k 2.3×	408 1.0×	2.7k 6.4×	371 1.5×	172	5.4k
Alessio Papini Italy	27	1.2k 1.0×	710 1.5×	633 1.5×	186 0.4×	72 0.3×	131	2.4k
Niels Holst Denmark	24	773 0.6×	212 0.5×	460 1.1×	384 0.9×	136 0.6×	66	2.1k
Zhiyan Zhou China	29	975 0.8×	964 2.1×	1.2k 2.8×	61 0.1×	58 0.2×	135	2.7k
Solve Sæbø Norway	22	233 0.2×	528 1.1×	204 0.5×	373 0.9×	104 0.4×	56	3.0k
Andrew Mead United Kingdom	41	3.7k 3.0×	911 2.0×	773 1.8×	462 1.1×	294 1.2×	123	5.9k
Lizhong Wang China	33	447 0.4×	450 1.0×	257 0.6×	299 0.7×	18 0.1×	125	2.6k
Wenjuan Wang China	21	355 0.3×	307 0.7×	67 0.2×	181 0.4×	63 0.3×	173	1.8k

Countries citing papers authored by M.S. Davies

Since Specialization

Citations

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

Fields of papers citing papers by M.S. Davies

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.S. Davies. 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 M.S. Davies. The network helps show where M.S. Davies may publish in the future.

Co-authorship network of co-authors of M.S. Davies

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

20 of 20 papers shown

Peters, Andrew, et al.. (2025). A rule-based approach to classify counterpressing – analysis of its risks and relationship with rest defence. International Journal of Performance Analysis in Sport. 26(1). 206–222.

Peters, Andrew, et al.. (2024). Expected Pass Turnovers (xPT) - a model to analyse turnovers from passing events in football. Journal of Sports Sciences. 42(11). 1002–1010. 2 indexed citations

Davies, M.S., et al.. (2011). Reconstructing Paper Machine Sheet Process Data Variation Using Compressive Sensing. IFAC Proceedings Volumes. 44(1). 4266–4271. 1 indexed citations

Cox, Ben, et al.. (2009). Danio rerio in K-12 Classrooms: Sparking Interest in the New Generation of Scientists. Zebrafish. 6(2). 145–160. 14 indexed citations

Li, Xing, Ravi G. Kurumbail, Ronald B. Frazier, et al.. (2008). Homo-timeric structural model of human microsomal prostaglandin E synthase-1 and characterization of its substrate/inhibitor binding interactions. Journal of Computer-Aided Molecular Design. 23(1). 13–24. 16 indexed citations

Francis, Dennis, M.S. Davies, & Peter W. Barlow. (2008). A Strong Nucleotypic Effect on the Cell Cycle Regardless of Ploidy Level. Annals of Botany. 101(6). 747–757. 93 indexed citations

Gopaluni, R. Bhushan, M.S. Davies, Philip D. Loewen, & Guy A. Dumont. (2008). An online non-intrusive method for alignment between actuators and their response centers on a paper machine. ISA Transactions. 47(3). 241–246. 2 indexed citations

Davies, M.S., et al.. (1998). Effects of Salt on Seed Germination in Contrasting Cereal Cultivars. Pakistan Journal of Biological Sciences. 1(4). 280–282. 1 indexed citations

DAVIES, K. L., M.S. Davies, & Dennis Francis. (1995). The effects of zinc on cell viability and on mitochondrial structure in contrasting cultivars of Festuca rubra L. — A rapid test for zinc tolerance. Environmental Pollution. 88(1). 109–113. 9 indexed citations

10.

Davies, M.S.. (1994). Area control modelling. 189–202. 1 indexed citations

11.

Davies, M.S., et al.. (1994). Variation in DNA C value in natural populations of Dactylis glomerata L.. New Phytologist. 128(3). 555–561. 43 indexed citations

12.

Davies, M.S.. (1992). How to Base Retail Decisions on Competitor and Household Data. ABA banking journal. 84(5). 94. 2 indexed citations

13.

Davies, M.S. & Dean B. Atkinson. (1991). Effects of toxic concentrations of metals on root growth and development.. Europe PMC (PubMed Central). 211–227. 13 indexed citations

14.

Hall, L, David C. Emery, M.S. Davies, D Parker, & R K Craig. (1987). Organization and sequence of the human α-lactalbumin gene. Biochemical Journal. 242(3). 735–742. 87 indexed citations

15.

Waldren, Steve, John Etherington, & M.S. Davies. (1987). COMPARATIVE STUDIES OF PLANT GROWTH AND DISTRIBUTION IN RELATION TO WATERLOGGING. New Phytologist. 106(4). 689–696. 31 indexed citations

16.

Waldren, Steve, M.S. Davies, & John Etherington. (1987). THE EFFECT OF MANGANESE ON ROOT EXTENSION OF GEUM RIVALE L., G. URBANUM L. AND THEIR HYBRIDS. New Phytologist. 106(4). 679–688. 17 indexed citations

17.

Davies, M.S., et al.. (1987). PHENOTYPIC FLEXIBILITY OF CAREX FLACCA SCHREB.. New Phytologist. 105(3). 381–391. 25 indexed citations

18.

Davies, M.S., et al.. (1986). EFFECTS OF ZINC ON CELL, NUCLEAR AND NUCLEOLAR SIZE, AND ON RNA AND PROTEIN CONTENT IN THE ROOT MERISTEM OF A ZINC‐TOLERANT AND A NON‐TOLERANT CULTIVAR OF FESTUCA RUBRA L.. New Phytologist. 104(4). 671–679. 28 indexed citations

19.

Moore, Robert E., et al.. (1986). Cloning and expression of a cDNA encoding a maize glutathione-S-transferase inE. coli. Nucleic Acids Research. 14(18). 7227–7235. 60 indexed citations

20.

Hall, Len, M.S. Davies, & R K Craig. (1981). The construction, identification and characterisation of plasmids containing human α-lactalbumin cDNA sequences. Nucleic Acids Research. 9(1). 65–84. 20 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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