Nigel W. Scott

542 citations
34 papers · 423 · h-index 13

Impact in

    • Plant Virus Research Studies
    • Plant Molecular Biology Research
    • Plant Genetic and Mutation Studies

Papers in

    • Plant tissue culture and regeneration 9
    • Genomics and Phylogenetic Studies 4
    • Identification and Quantification in Food 3
    • Plant Virus Research Studies 6
    • Plant Genetic and Mutation Studies 4
    • Plant nutrient uptake and metabolism 3

Nigel W. Scott

31 papers receiving 387 citations

Peers

Nigel W. Scott
Comparison fields: 5 of 54
  • Endocrinology 31
  • Plant Science 213
  • Biotechnology 42
  • Molecular Biology 298
  • Food Science 57
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Citations per year

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-authors

The 25 scholars most cited alongside Nigel W. Scott, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nigel W. Scott Line = papers co-authored together Nigel W. Scott links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200698
2 198043
3 200128
4 200827
5 200924
6 199220
7 199818
8 199617
9 199817
10 200815
11 201315
12 201214
13 200712
14 199312
15 201010
16 20008
17
PCR and non-isotopic labeling techniques for plant virus detection.
19958
18
Plant biotechnology: the genetic manipulation of plants. 2nd ed.
20087
19 19946
20 19984

About Nigel W. Scott

Nigel W. Scott is a scholar working on Molecular Biology, Plant Science, Biotechnology, Genetics and Ecology, having authored 34 papers that have together received 423 indexed citations. Recurring topics across this work include Plant tissue culture and regeneration (9 papers), Transgenic Plants and Applications (6 papers), Plant Virus Research Studies (6 papers), Plant Genetic and Mutation Studies (4 papers), Genomics and Phylogenetic Studies (4 papers), Plant nutrient uptake and metabolism (3 papers), Identification and Quantification in Food (3 papers) and Bacterial Genetics and Biotechnology (3 papers). The work is most often cited by research in Endocrinology (31 citations), Plant Science (213 citations), Biotechnology (42 citations), Molecular Biology (298 citations) and Food Science (57 citations). Nigel W. Scott has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Mark R. Fowler, A. Slater, Chunlai Zhang, Colin R. Harwood, Malcolm C. Elliott, Graham Lawson, J. I. Cooper, Dongfang Chen, Caroline Howard and Paul Bremner. Their work appears in journals such as Journal of Experimental Botany, Physiologia Plantarum, Planta Medica, Microbiology and Journal of Plant Growth Regulation.

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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