D.C. Naseby

982 total citations
21 papers, 735 citations indexed

About

D.C. Naseby is a scholar working on Plant Science, Molecular Biology and Pollution. According to data from OpenAlex, D.C. Naseby has authored 21 papers receiving a total of 735 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Plant Science, 7 papers in Molecular Biology and 4 papers in Pollution. Recurrent topics in D.C. Naseby's work include Legume Nitrogen Fixing Symbiosis (9 papers), Plant-Microbe Interactions and Immunity (8 papers) and Nematode management and characterization studies (4 papers). D.C. Naseby is often cited by papers focused on Legume Nitrogen Fixing Symbiosis (9 papers), Plant-Microbe Interactions and Immunity (8 papers) and Nematode management and characterization studies (4 papers). D.C. Naseby collaborates with scholars based in United Kingdom, India and Canada. D.C. Naseby's co-authors include J. M. Lynch, José Antonio Pascual, Jim Lynch, Vipul Gohel, Ayten Karaca, Nigel J. Bainton, Daniel R. Beniac, Kathryn Bernard, Judith L. Isaac‐Renton and Lorraine McIntyre and has published in prestigious journals such as Applied and Environmental Microbiology, Soil Biology and Biochemistry and Molecular Ecology.

In The Last Decade

D.C. Naseby

20 papers receiving 674 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D.C. Naseby United Kingdom 13 452 183 148 84 71 21 735
Madhurankhi Goswami India 9 563 1.2× 172 0.9× 97 0.7× 121 1.4× 83 1.2× 11 942
María del Rocio Bustillos‐Cristales Mexico 14 680 1.5× 271 1.5× 49 0.3× 70 0.8× 129 1.8× 18 960
Maya Ofek Israel 10 423 0.9× 116 0.6× 111 0.8× 68 0.8× 149 2.1× 11 655
Jaekyeong Song South Korea 15 694 1.5× 344 1.9× 92 0.6× 53 0.6× 183 2.6× 57 1.1k
Gaofei Jiang China 18 739 1.6× 262 1.4× 103 0.7× 116 1.4× 118 1.7× 46 1.1k
Annett Milling United States 12 689 1.5× 176 1.0× 46 0.3× 69 0.8× 188 2.6× 16 998
T. M. Timms‐Wilson United Kingdom 9 457 1.0× 241 1.3× 85 0.6× 29 0.3× 164 2.3× 12 695
Antonino Testa Italy 17 732 1.6× 206 1.1× 66 0.4× 67 0.8× 34 0.5× 37 935
Hanan I. Malkawi Jordan 13 350 0.8× 132 0.7× 38 0.3× 77 0.9× 118 1.7× 38 685
Lúcia Maria Carareto Alves Brazil 16 245 0.5× 166 0.9× 51 0.3× 97 1.2× 100 1.4× 46 628

Countries citing papers authored by D.C. Naseby

Since Specialization
Citations

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

Fields of papers citing papers by D.C. Naseby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D.C. Naseby

This figure shows the co-authorship network connecting the top 25 collaborators of D.C. Naseby. A scholar is included among the top collaborators of D.C. Naseby 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.C. Naseby. D.C. Naseby 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.
Naseby, D.C., et al.. (2017). Efficacy of benzalkonium chloride against bioluminescent P. aeruginosa ATCC9027 constructs. Biosensors and Bioelectronics. 97. 8–15. 2 indexed citations
2.
Naseby, D.C., et al.. (2015). Validation of constitutively expressed bioluminescent Pseudomonas aeruginosa as a rapid microbiological quantification tool. Biosensors and Bioelectronics. 68. 447–453. 18 indexed citations
3.
Naseby, D.C., et al.. (2014). Bioluminescence-based measurement of viability ofPseudomonas aeruginosaATCC 9027 harbouring plasmid-based lux genes under the control of constitutive promoters. Journal of Applied Microbiology. 117(5). 1373–1387. 10 indexed citations
4.
Hall, Avice, et al.. (2013). The effect of soil pH on photo-catalytic oxidation of polycyclic aromatic hydrocarbons (PAHs). International journal of innovation and applied studies. 3(4). 879–892. 4 indexed citations
5.
Lewis, Kathleen, et al.. (2013). Review of substances/agents that have direct beneficial effect on the environment: mode of action and assessment of efficacy. EFSA Supporting Publications. 10(6). 7 indexed citations
6.
Hall, Avice, et al.. (2012). A study of the role of silicon in the control of strawberry powdery mildew (Podosphaera aphanis) in a field trial.. Aspects of applied biology. 229–234. 1 indexed citations
7.
McIntyre, Lorraine, Kathryn Bernard, Daniel R. Beniac, Judith L. Isaac‐Renton, & D.C. Naseby. (2008). Identification of Bacillus cereus Group Species Associated with Food Poisoning Outbreaks in British Columbia, Canada. Applied and Environmental Microbiology. 74(23). 7451–7453. 62 indexed citations
8.
Gohel, Vipul & D.C. Naseby. (2007). Thermalstabilization of chitinolytic enzymes of Pantoea dispersa. Biochemical Engineering Journal. 35(2). 150–157. 30 indexed citations
9.
Bainton, Nigel J., et al.. (2004). Survival and Ecological Fitness of Pseudomonas fluorescens Genetically Engineered with Dual Biocontrol Mechanisms. Microbial Ecology. 48(3). 349–357. 7 indexed citations
10.
Karaca, Ayten, D.C. Naseby, & J. M. Lynch. (2002). Effect of cadmium contamination with sewage sludge and phosphate fertiliser amendments on soil enzyme activities, microbial structure and available cadmium. Biology and Fertility of Soils. 35(6). 428–434. 44 indexed citations
11.
Naseby, D.C., et al.. (2002). Enzymes and Microorganisms in the Rhizosphere. 109–123. 16 indexed citations
12.
Naseby, D.C. & J. M. Lynch. (2001). Effect of 2,4-Diacetylphloroglucinol Producing, Overproducing, and Nonproducing Pseudomonas fluorescens F113 in the Rhizosphere of Pea. Microbial Ecology. 42(2). 193–200. 11 indexed citations
13.
Naseby, D.C., José Antonio Pascual, & J. M. Lynch. (2001). Effect of biocontrol strains of Trichoderma on plant growth, Pythium ultimum populations, soil microbial communities and soil enzyme activities. Journal of Applied Microbiology. 88(1). 161–169. 175 indexed citations
14.
Naseby, D.C., et al.. (2001). Biocontrol of Pythium in the pea rhizosphere by antifungal metabolite producing and non-producing Pseudomonas strains. Journal of Applied Microbiology. 90(3). 421–429. 47 indexed citations
15.
Naseby, D.C., José Antonio Pascual, & J. M. Lynch. (1999). Carbon fractions in the rhizosphere of pea inoculated with 2,4 diacetylphloroglucinol producing and non-producing Pseudomonas fluorescens F113. Journal of Applied Microbiology. 87(1). 173–181. 16 indexed citations
16.
Naseby, D.C. & J. M. Lynch. (1999). Effects of Pseudomonas fluorescens F113 on Ecological Functions in the Pea Rhizosphere Are Dependent on pH. Microbial Ecology. 37(4). 248–256. 29 indexed citations
17.
Naseby, D.C., Yvan Moënne‐Loccoz, Jan Powell, Fergal O’Gara, & Jim Lynch. (1998). Soil enzyme activities in the rhizosphere of field-grown sugar beet inoculated with the biocontrol agent Pseudomonas fluorescens F113. Biology and Fertility of Soils. 27(1). 39–43. 28 indexed citations
18.
19.
Naseby, D.C. & Jim Lynch. (1997). Functional impact of genetically modified micro-organisms on the soil ecosystem. University of Hertfordshire Research Archive (University of Hertfordshire). 9 indexed citations
20.

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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