Nigel Vicker

2k citations
49 papers · 1.8k · h-index 25

Impact in

    • Synthesis and biological activity
    • Advanced Synthetic Organic Chemistry
    • Multicomponent Synthesis of Heterocycles
    • Asymmetric Synthesis and Catalysis
  • Genetics top 10%
    • Estrogen and related hormone effects

Papers in

Nigel Vicker

49 papers receiving 1.7k citations

Peers

Nigel Vicker
Comparison fields: 5 of 68
  • Organic Chemistry 917
  • Genetics 339
  • Pharmacology 101
  • Molecular Biology 459
  • Computational Theory and Mathematics 116
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J. T. Link United States
Raymond McCague United Kingdom
Ross V. Weatherman United States
Mark A. Ashwell United States
David S. Thomson United States
Mark G. Saulnier United States
Ray McCague United Kingdom
Zhao‐Kui Wan United States
Cecil Howard Robinson United States
René Maltais Canada
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Citations per field
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Citations per year

Countries citing papers authored by Nigel Vicker

Since Specialization
Citations

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

Fields of papers citing papers by Nigel Vicker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002128
2 2002120
3 1994101
4 2008100
5 200576
6 199274
7 200471
8 199367
9 199265
10 200664
11 200360
12 200559
13 200255
14 200555
15 200448
16 199546
17 199846
18 200145
19 198238
20 200838

About Nigel Vicker

Nigel Vicker is a scholar working on Organic Chemistry, Endocrinology, Diabetes and Metabolism, Computational Theory and Mathematics, Pharmacology and Genetics, having authored 49 papers that have together received 1.8k indexed citations. Recurring topics across this work include Synthesis and biological activity (14 papers), Hormonal Regulation and Hypertension (12 papers), Estrogen and related hormone effects (11 papers), Computational Drug Discovery Methods (9 papers), Advanced Synthetic Organic Chemistry (4 papers), Alkaloids: synthesis and pharmacology (3 papers), Cancer therapeutics and mechanisms (3 papers) and Pharmacological Effects of Natural Compounds (3 papers). The work is most often cited by research in Organic Chemistry (917 citations), Genetics (339 citations), Pharmacology (101 citations), Molecular Biology (459 citations) and Computational Theory and Mathematics (116 citations). Nigel Vicker has collaborated with scholars based in United Kingdom, New Zealand and France. Frequent co-authors include Barry V. L. Potter, Michael J. Reed, Atul Purohit, Helena J. Tutill, Harshani R. Lawrence, Xiangdong Su, Gillian M. Allan, PHILIP D. MAGNUS, Joanna M. Day and John Milton. Their work appears in journals such as Journal of Medicinal Chemistry, Molecular and Cellular Endocrinology, Bioorganic & Medicinal Chemistry Letters, ChemMedChem and Bioorganic & Medicinal Chemistry.

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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