Nigel W. Scott

540 total citations
34 papers, 423 citations indexed

About

Nigel W. Scott is a scholar working on Molecular Biology, Plant Science and Biotechnology. According to data from OpenAlex, Nigel W. Scott has authored 34 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 19 papers in Plant Science and 6 papers in Biotechnology. Recurrent topics in Nigel W. Scott's work include Plant tissue culture and regeneration (9 papers), Plant Virus Research Studies (6 papers) and Transgenic Plants and Applications (6 papers). Nigel W. Scott is often cited by papers focused on Plant tissue culture and regeneration (9 papers), Plant Virus Research Studies (6 papers) and Transgenic Plants and Applications (6 papers). Nigel W. Scott collaborates with scholars based in United Kingdom, Slovakia and Czechia. Nigel W. Scott's co-authors include Mark R. Fowler, A. Slater, Colin R. Harwood, Chunlai Zhang, Robert J. Slater, Graham Lawson, Malcolm C. Elliott, J. I. Cooper, Dongfang Chen and M. L. Edwards and has published in prestigious journals such as Journal of Experimental Botany, Antimicrobial Agents and Chemotherapy and Microbiology.

In The Last Decade

Nigel W. Scott

31 papers receiving 387 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nigel W. Scott United Kingdom 13 302 219 62 62 59 34 423
D. Carey Walker United States 7 276 0.9× 97 0.4× 59 1.0× 70 1.1× 291 4.9× 8 449
James T. Henderson United States 8 473 1.6× 347 1.6× 12 0.2× 59 1.0× 205 3.5× 8 647
Ki‐Tae Kim South Korea 15 323 1.1× 591 2.7× 32 0.5× 26 0.4× 54 0.9× 39 791
Evelynn E. Kawata United States 9 387 1.3× 322 1.5× 20 0.3× 24 0.4× 22 0.4× 12 519
Marc Vaïtilingom France 8 619 2.0× 563 2.6× 30 0.5× 197 3.2× 52 0.9× 9 720
Ruihong Zhao China 10 152 0.5× 187 0.9× 30 0.5× 45 0.7× 45 0.8× 28 374
Peter P. Ueng United States 17 218 0.7× 576 2.6× 14 0.2× 29 0.5× 28 0.5× 26 681
Sture Brishammar Sweden 13 138 0.5× 278 1.3× 26 0.4× 25 0.4× 33 0.6× 25 466
Hans‐Ulrich Waiblinger Germany 15 612 2.0× 403 1.8× 43 0.7× 99 1.6× 97 1.6× 34 803
Yasmina Jaufeerally‐Fakim Mauritius 11 121 0.4× 222 1.0× 28 0.5× 21 0.3× 74 1.3× 35 433

Countries citing papers authored by Nigel W. Scott

Since Specialization
Citations

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

Fields of papers citing papers by Nigel W. Scott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nigel W. Scott. 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 Nigel W. Scott. The network helps show where Nigel W. Scott may publish in the future.

Co-authorship network of co-authors of Nigel W. Scott

This figure shows the co-authorship network connecting the top 25 collaborators of Nigel W. Scott. A scholar is included among the top collaborators of Nigel W. Scott 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 Nigel W. Scott. Nigel W. Scott 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.
Howard, Caroline, Sarah Williams, Eleanor A. M. Graham, et al.. (2012). PlantID – DNA-based identification of multiple medicinal plants in complex mixtures. Chinese Medicine. 7(1). 18–18. 14 indexed citations
2.
Howard, Caroline, et al.. (2009). Molecular Identification ofHypericum perforatumby PCR Amplification of the ITS and 5.8S rDNA Region. Planta Medica. 75(8). 864–869. 24 indexed citations
3.
Slater, Anthony T., Nigel W. Scott, & Mark R. Fowler. (2008). Plant biotechnology: the genetic manipulation of plants. 2nd ed.. DMU Open Research Archive (De Montfort University). 7 indexed citations
4.
Zhou, Yihua, Jie Cui, Chuan‐Xi Zhang, et al.. (2008). Genetic approaches to sustainable pest management in sugar beet (Beta vulgaris). Annals of Applied Biology. 152(2). 143–156. 27 indexed citations
5.
Daskalova, Sasha M., Alex C. McCormac, Nigel W. Scott, Harry Van Onckelen, & Malcolm C. Elliott. (2007). Effect of seed-specific expression of the ipt Gene on Nicotiana tabacum L. seed composition. Plant Growth Regulation. 51(3). 217–229. 12 indexed citations
6.
Zhang, Chunlai, Mark R. Fowler, Nigel W. Scott, Graham Lawson, & A. Slater. (2006). A TaqMan real-time PCR system for the identification and quantification of bovine DNA in meats, milks and cheeses. Food Control. 18(9). 1149–1158. 98 indexed citations
7.
Gartland, Kevan M.A. & Nigel W. Scott. (2003). Transformation and Regeneration of Dicotyledonous Plants. Humana Press eBooks. 4. 471–480.
8.
Chen, Dawei, et al.. (2001). Use of the GFP Reporter as a Vital Marker for Agrobacterium-Mediated Transformation of Sugar Beet (Beta vulgaris L.). Molecular Biotechnology. 17(2). 109–117. 28 indexed citations
9.
Fowler, Mark R., Jill S. Gartland, William Norton, et al.. (2000). RS2: a sugar beet gene related to the latex allergen Hev b 5 family. Journal of Experimental Botany. 51(353). 2125–2126. 8 indexed citations
10.
Fowler, Mark R., Ana Atanassova, Malcolm C. Elliott, Nigel W. Scott, & Robert J. Slater. (2000). Characterization of a Mak subgroup Cdc2‐like protein kinase from sugar beet (Beta vulgaris L.). Journal of Experimental Botany. 51(353). 2119–2124. 3 indexed citations
11.
Fowler, Mark R., Stephen Eyre, Nigel W. Scott, Robert J. Slater, & Malcolm C. Elliott. (1998). The plant cell cycle in context. Molecular Biotechnology. 10(2). 123–153. 17 indexed citations
12.
Fowler, Mark R., et al.. (1998). Early changes in gene expression during direct somatic embryogenesis in alfalfa revealed by RAP-PCR. Journal of Experimental Botany. 49(319). 249–253. 18 indexed citations
13.
Fowler, Mark R., Melissa Kirby, Nigel W. Scott, Robert J. Slater, & Malcolm C. Elliott. (1998). Induction of cell division‐related genes in quiescent (G0) sugar beet cells. Physiologia Plantarum. 102(1). 61–70. 4 indexed citations
14.
Fowler, Mark R., Melissa Kirby, Nigel W. Scott, Robert J. Slater, & Malcolm C. Elliott. (1996). Polyamine metabolism and gene regulation during the transition of autonomous sugar beet cells in suspension culture from quiescence to division. Physiologia Plantarum. 98(3). 439–446. 17 indexed citations
15.
Fenby, Nick, et al.. (1995). PCR and non-isotopic labeling techniques for plant virus detection.. PubMed. 41(5). 639–52. 8 indexed citations
16.
Cooper, J. I., et al.. (1994). Transgenic resistance genes from nepoviruses: Efficacy and other properties. New Zealand Journal of Crop and Horticultural Science. 22(2). 129–137. 6 indexed citations
17.
Slater, Robert J., Mark R. Fowler, Melissa Kirby, Nigel W. Scott, & Malcolm C. Elliott. (1994). Strategies for Manipulation of Sugar Beet Storage Organ Morphology. Biotechnology & Biotechnological Equipment. 8(3). 32–36. 3 indexed citations
18.
19.
Scott, Nigel W., David Porter, & C.S. Dow. (1987). The Influence of Hydrophobic Inhibitors on the Growth of Rhodomicrobium vannielii. Microbiology. 133(12). 3415–3425. 1 indexed citations
20.
Scott, Nigel W. & Colin R. Harwood. (1981). Mecillinam Susceptibility of Escherichia coli K-12 Mutants Deficient in the Adenosine 3′,5′-Monophosphate System. Antimicrobial Agents and Chemotherapy. 19(4). 540–544. 1 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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