Jim E. Horne

776 citations
16 papers · 490 · h-index 11

Impact in

Papers in

    • RNA and protein synthesis mechanisms 7
    • Protein Structure and Dynamics 5
    • Lipid Membrane Structure and Behavior 4
    • Advanced biosensing and bioanalysis techniques 3
    • Bacterial Genetics and Biotechnology 8

Jim E. Horne

16 papers receiving 487 citations

Peers

Jim E. Horne
Comparison fields: 5 of 68
  • Molecular Medicine 54
  • Endocrinology 38
  • Genetics 154
  • Molecular Biology 357
  • Biophysics 26
Replace Bob Schiffrin with:
Bob Schiffrin United Kingdom
Dongchun Ni Switzerland
Inokentijs Josts Germany
Yi C. Zeng Australia
Marina Koukaki Greece
Anna Gribun Canada
Johannes Thoma Sweden
M. Rhia L. Stone Australia
Emily J. Danoff United States
Mark K. Doeven Netherlands
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Citations per field
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Bob Schiffrin · 1×
Citations per year

Countries citing papers authored by Jim E. Horne

Since Specialization
Citations

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

Fields of papers citing papers by Jim E. Horne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jim E. Horne. 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 Jim E. Horne. The network helps show where Jim E. Horne may publish in the future.

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2020116
2 202186
3 202049
4 201846
5 201843
6 202037
7 202129
8 202323
9 201521
10 201613
11 202412
12 20186
13 20225
14 20242
15 20231
16 20231

About Jim E. Horne

Jim E. Horne is a scholar working on Molecular Biology, Genetics, Biophysics, Organic Chemistry and Atomic and Molecular Physics, and Optics, having authored 16 papers that have together received 490 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (8 papers), RNA and protein synthesis mechanisms (7 papers), Protein Structure and Dynamics (5 papers), Lipid Membrane Structure and Behavior (4 papers), Advanced biosensing and bioanalysis techniques (3 papers), Advanced NMR Techniques and Applications (2 papers), Electron Spin Resonance Studies (2 papers) and Spectroscopy and Quantum Chemical Studies (2 papers). The work is most often cited by research in Molecular Medicine (54 citations), Endocrinology (38 citations), Genetics (154 citations), Molecular Biology (357 citations) and Biophysics (26 citations). Jim E. Horne has collaborated with scholars based in United Kingdom, Czechia and Germany. Frequent co-authors include Sheena E. Radford, David J. Brockwell, Antonio N. Calabrese, Paul White, Roman Tůma, Martin Walko, Andrew J. Wilson, Bob Schiffrin, Neil A. Ranson and Matthew A. Watson. Their work appears in journals such as Nature Communications, Journal of Biological Chemistry, Angewandte Chemie International Edition, Biochemical Society Transactions and Science.

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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