Jeffrey Nye

588 citations
14 papers · 446 · h-index 9

Impact in

Papers in

    • Catalytic Cross-Coupling Reactions 4
    • Carbohydrate Chemistry and Synthesis 3
    • Synthetic Organic Chemistry Methods 2
    • Asymmetric Synthesis and Catalysis 2
    • Lipid Membrane Structure and Behavior 4
    • RNA Interference and Gene Delivery 3
    • Advanced biosensing and bioanalysis techniques 1

Jeffrey Nye

13 papers receiving 442 citations

Peers

Jeffrey Nye
Comparison fields: 5 of 65
  • Immunology and Allergy 45
  • Biophysics 35
  • Cell Biology 90
  • Immunology 86
  • Molecular Biology 243
Replace Geoff P. O’Donoghue with:
Geoff P. O’Donoghue United States
Anirban Polley India
Yuesong Hu United States
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E. Kalb Switzerland
Marina V. Goncharuk Russia
Xinyong Ma China
Jörg Nikolaus Germany
Jan‐Erik Hoffmann Germany
Brandon L. Scott United States
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Citations per field
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Geoff P. O’Donoghue · 1×
Citations per year

Countries citing papers authored by Jeffrey Nye

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey Nye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2008128
2 2009123
3 200873
4 201545
5 201723
6 200813
7 200811
8 20039
9 20158
10 20247
11 20243
12 20202
13 20161
14 20250

About Jeffrey Nye

Jeffrey Nye is a scholar working on Organic Chemistry, Molecular Biology, Inorganic Chemistry, Pharmacology and Environmental Chemistry, having authored 14 papers that have together received 446 indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (4 papers), Catalytic Cross-Coupling Reactions (4 papers), Carbohydrate Chemistry and Synthesis (3 papers), RNA Interference and Gene Delivery (3 papers), Synthetic Organic Chemistry Methods (2 papers), Asymmetric Hydrogenation and Catalysis (2 papers), Asymmetric Synthesis and Catalysis (2 papers) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Immunology and Allergy (45 citations), Biophysics (35 citations), Cell Biology (90 citations), Immunology (86 citations) and Molecular Biology (243 citations). Jeffrey Nye has collaborated with scholars based in United States, United Kingdom and Bulgaria. Frequent co-authors include Jay T. Groves, William J. Galush, Adrian Ortiz, Tamas Benkovics, Gregory L. Beutner, Chris Sfouggatakis, David R. Kronenthal, Zhongping Shi, Bryan L. Jackson and Neil A. Strotman. Their work appears in journals such as Organic Process Research & Development, Langmuir, Proceedings of the National Academy of Sciences, ChemPhysChem and Applied Catalysis A General.

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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