Nigel G. Ramsden

3.9k citations
26 papers · 1.6k · h-index 19

Impact in

    • Carbohydrate Chemistry and Synthesis
    • Synthetic Organic Chemistry Methods
    • Asymmetric Synthesis and Catalysis
  • Virology top 5%

Papers in

    • Carbohydrate Chemistry and Synthesis 11
    • Synthetic Organic Chemistry Methods 3
    • Glycosylation and Glycoproteins Research 4
    • Biochemical and Molecular Research 3
    • PI3K/AKT/mTOR signaling in cancer 3

Nigel G. Ramsden

26 papers receiving 1.5k citations

Peers

Nigel G. Ramsden
Comparison fields: 5 of 90
  • Organic Chemistry 1.1k
  • Virology 75
  • Molecular Biology 933
  • Biotechnology 109
  • Computational Theory and Mathematics 160
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Citations per year

Countries citing papers authored by Nigel G. Ramsden

Since Specialization
Citations

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

Fields of papers citing papers by Nigel G. Ramsden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Nigel G. Ramsden, 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 G. Ramsden Line = papers co-authored together Nigel G. Ramsden links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988311
2 1988300
3 1999179
4 1989101
5 199195
6 199069
7 199067
8 201145
9 199242
10 198941
11 201236
12 198831
13 198831
14 199227
15 198826
16 199025
17 201624
18 201024
19 201220
20 201214

About Nigel G. Ramsden

Nigel G. Ramsden is a scholar working on Organic Chemistry, Molecular Biology, Pharmacology, Physiology and Nutrition and Dietetics, having authored 26 papers that have together received 1.6k indexed citations. Recurring topics across this work include Carbohydrate Chemistry and Synthesis (11 papers), Glycosylation and Glycoproteins Research (4 papers), Microbial Metabolites in Food Biotechnology (3 papers), Synthetic Organic Chemistry Methods (3 papers), Biochemical and Molecular Research (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Microbial Natural Products and Biosynthesis (3 papers) and Polysaccharides and Plant Cell Walls (2 papers). The work is most often cited by research in Organic Chemistry (1.1k citations), Virology (75 citations), Molecular Biology (933 citations), Biotechnology (109 citations) and Computational Theory and Mathematics (160 citations). Nigel G. Ramsden has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include George W. J. Fleet, David R. Witty, Gary S. Jacob, Abraham Karpas, S. Petursson, Linda E. Fellows, Raymond A. Dwek, Sung Keon Namgoong, T. W. Rademacher and Xiao Qing Lewell. Their work appears in journals such as Tetrahedron Letters, Bioorganic & Medicinal Chemistry Letters, Tetrahedron, Biochemistry and British Journal of Pharmacology.

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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