Gordon Rix

423 citations
4 papers · 114 · h-index 3

Impact in

    • Microbial Metabolic Engineering and Bioproduction
    • CRISPR and Genetic Engineering
    • Enzyme Catalysis and Immobilization
    • RNA and protein synthesis mechanisms

Papers in

    • CRISPR and Genetic Engineering 2
    • Microbial Metabolic Engineering and Bioproduction 1
    • RNA and protein synthesis mechanisms 1
    • Genomics and Phylogenetic Studies 1
    • Evolution and Genetic Dynamics 2
    • Genomics and Rare Diseases 1

Gordon Rix

4 papers receiving 114 citations

Peers

Gordon Rix
Comparison fields: 5 of 38
  • Molecular Biology 104
  • Biotechnology 10
  • Genetics 18
  • Biomedical Engineering 21
  • Radiology, Nuclear Medicine and Imaging 11
Replace Kadina E. Johnston with:
Kadina E. Johnston United States
Liang Fang United States
Carina Ramallo Guevara Germany
Tobias Vornholt Switzerland
Karen R. Khar United States
Lucas Waldburger United States
Ka‐Hei Siu United States
Dan Ohtan Wang Japan
Stacey Gerben United States
Ana Crnković United States
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Citations per field
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Kadina E. Johnston · 1×
Citations per year

Countries citing papers authored by Gordon Rix

Since Specialization
Citations

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

Fields of papers citing papers by Gordon Rix

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Gordon Rix, 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 Gordon Rix Line = papers co-authored together Gordon Rix links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown

About Gordon Rix

Gordon Rix is a scholar working on Molecular Biology, Genetics, Artificial Intelligence, Biochemistry and Materials Chemistry, having authored 4 papers that have together received 114 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (2 papers), Evolution and Genetic Dynamics (2 papers), Microbial Metabolic Engineering and Bioproduction (1 paper), Genomics and Rare Diseases (1 paper), Evolutionary Algorithms and Applications (1 paper), Enzyme Structure and Function (1 paper), RNA and protein synthesis mechanisms (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Molecular Biology (104 citations), Biotechnology (10 citations), Genetics (18 citations), Biomedical Engineering (21 citations) and Radiology, Nuclear Medicine and Imaging (11 citations). Gordon Rix has collaborated with scholars based in United States and Japan. Frequent co-authors include Chang C. Liu, Christina Smith, Ella J. Watkins‐Dulaney, Frances H. Arnold, Patrick J. Almhjell, Debora S. Marks and James A. Van Deventer. Their work appears in journals such as Nature Communications, Science and Current Opinion in Chemical Biology.

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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