Martin Day

1.1k total citations
38 papers, 761 citations indexed

About

Martin Day is a scholar working on Food Science, Plant Science and Ecology. According to data from OpenAlex, Martin Day has authored 38 papers receiving a total of 761 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Food Science, 13 papers in Plant Science and 10 papers in Ecology. Recurrent topics in Martin Day's work include Fermentation and Sensory Analysis (11 papers), Horticultural and Viticultural Research (10 papers) and Bacteriophages and microbial interactions (8 papers). Martin Day is often cited by papers focused on Fermentation and Sensory Analysis (11 papers), Horticultural and Viticultural Research (10 papers) and Bacteriophages and microbial interactions (8 papers). Martin Day collaborates with scholars based in United Kingdom, Australia and Italy. Martin Day's co-authors include Paul A. Smith, Andrew M. Taylor, Marina Patriarca, Eric Wilkes, Simon A. Schmidt, Mark A. White, Helen E. Holt, Sarah Hill, Sandy B. Primrose and Nicola Barlow and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Food Chemistry and Applied Microbiology and Biotechnology.

In The Last Decade

Martin Day

37 papers receiving 723 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Day United Kingdom 19 391 214 176 111 111 38 761
David J. Baumler United States 18 250 0.6× 169 0.8× 447 2.5× 148 1.3× 14 0.1× 43 1.2k
G. A. Howard Japan 15 272 0.7× 131 0.6× 100 0.6× 35 0.3× 64 0.6× 59 607
Erminia La Camera Italy 14 177 0.5× 70 0.3× 151 0.9× 59 0.5× 11 0.1× 24 601
Andrea Barbarossa Italy 16 108 0.3× 228 1.1× 167 0.9× 19 0.2× 25 0.2× 58 874
Jeongeun Kim South Korea 12 269 0.7× 238 1.1× 150 0.9× 25 0.2× 42 0.4× 27 977
Xinfen Yu China 13 53 0.1× 77 0.4× 132 0.8× 28 0.3× 24 0.2× 24 585
Young‐Zoo Chae South Korea 11 132 0.3× 41 0.2× 79 0.4× 28 0.3× 40 0.4× 48 506
Alberto Vassallo Italy 13 59 0.2× 103 0.5× 151 0.9× 46 0.4× 21 0.2× 29 454
Li Xia China 13 145 0.4× 140 0.7× 175 1.0× 18 0.2× 14 0.1× 40 637

Countries citing papers authored by Martin Day

Since Specialization
Citations

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

Fields of papers citing papers by Martin Day

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Day

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Day. A scholar is included among the top collaborators of Martin Day 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 Martin Day. Martin Day 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.
Day, Martin, Marlize Z. Bekker, Keren A. Bindon, et al.. (2021). Aeration ofVitis viniferaShiraz fermentation and its effect on wine chemical composition and sensory attributes. Australian Journal of Grape and Wine Research. 27(3). 360–377. 6 indexed citations
2.
3.
Watrelot, Aude A., Martin Day, Alex Schulkin, et al.. (2019). Oxygen exposure during red wine fermentation modifies tannin reactivity with poly-l-proline. Food Chemistry. 297. 124923–124923. 12 indexed citations
4.
Taylor, Andrew M., Nicola Barlow, Martin Day, et al.. (2019). Atomic Spectrometry Update: review of advances in the analysis of clinical and biological materials, foods and beverages. Journal of Analytical Atomic Spectrometry. 34(3). 426–459. 20 indexed citations
5.
Jenkins, Claire, et al.. (2019). Antimicrobial resistance in non-O157 Shiga-toxin producing Escherichia coli. Access Microbiology. 1(1A). 2 indexed citations
6.
Cowley, Lauren A., Alison S. Low, Derek Pickard, et al.. (2018). Transposon Insertion Sequencing Elucidates Novel Gene Involvement in Susceptibility and Resistance to Phages T4 and T7 in Escherichia coli O157. mBio. 9(4). 26 indexed citations
7.
McRae, Jacqui M., Agnieszka Mierczyńska-Vasilev, Alison Soden, et al.. (2017). Effect of Commercial-Scale Filtration on Sensory and Colloidal Properties of Red Wines over 18 Months Bottle Aging. American Journal of Enology and Viticulture. 68(3). 263–274. 13 indexed citations
8.
Gawel, Richard, Alex Schulkin, Martin Day, Alice Barker, & Paul A. Smith. (2016). Interactions between phenolics, alcohol and acidity in determining the mouthfeel and bitterness of white wine. 8. 2 indexed citations
9.
Nair, Satheesh, Philip Ashton, Michel Doumith, et al.. (2016). WGS for surveillance of antimicrobial resistance: a pilot study to detect the prevalence and mechanism of resistance to azithromycin in a UK population of non-typhoidalSalmonella. Journal of Antimicrobial Chemotherapy. 71(12). 3400–3408. 53 indexed citations
10.
Bellon, Jennifer R., Fei Yang, Martin Day, Debra Inglis, & Paul J. Chambers. (2015). Designing and creating Saccharomyces interspecific hybrids for improved, industry relevant, phenotypes. Applied Microbiology and Biotechnology. 99(20). 8597–8609. 37 indexed citations
11.
Bekker, Marlize Z., Martin Day, Helen E. Holt, Eric Wilkes, & Paul A. Smith. (2015). Effect of oxygen exposure during fermentation on volatile sulfur compounds in Shiraz wine and a comparison of strategies for remediation of reductive character. Australian Journal of Grape and Wine Research. 22(1). 24–35. 41 indexed citations
12.
Gawel, Richard, Martin Day, Steven C. Van Sluyter, et al.. (2014). White Wine Taste and Mouthfeel As Affected by Juice Extraction and Processing. Journal of Agricultural and Food Chemistry. 62(41). 10008–10014. 48 indexed citations
13.
Hosseini, Sona, Paul Ries, P. A. Fernandes, et al.. (2013). TRIDENT: Taking Remote and In-situ Data to Explore Neptune and Triton. DPS. 1 indexed citations
14.
Day, Martin. (2013). Yeast Petites and Small Colony Variants. Advances in applied microbiology. 85. 1–41. 28 indexed citations
15.
16.
Aktaş, Zerrin, et al.. (2007). Molecular characterization of Salmonella Typhimurium and Salmonella Enteritidis by plasmid analysis and pulsed-field gel electrophoresis. International Journal of Antimicrobial Agents. 30(6). 541–545. 31 indexed citations
17.
Threlfall, E. J., Martin Day, Elizabeth de Pinna, André Charlett, & K.L. Goodyear. (2006). Assessment of factors contributing to changes in the incidence of antimicrobial drug resistance in Salmonella enterica serotypes Enteritidis and Typhimurium from humans in England and Wales in 2000, 2002 and 2004. International Journal of Antimicrobial Agents. 28(5). 389–395. 34 indexed citations
18.
Day, Martin, et al.. (1995). Characterization of the region and year of production of wines by stable isotopes and elemental analyses. OENO One. 29(2). 75–75. 3 indexed citations
19.
Day, Martin & N.F. Burton. (1982). Plasmids. Endeavour. 6(3). 108–113. 1 indexed citations
20.
Betz, Joan L., Jane Brown, Patricia H. Clarke, & Martin Day. (1974). Genetic analysis of amidase mutants ofPseudomonas aeruginosa. Genetics Research. 23(3). 335–359. 18 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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