Ian Dix

759 citations
12 papers · 647 · h-index 11

Impact in

    • RNA Research and Splicing
    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer
    • Fungal and yeast genetics research
    • Bioinformatics and Genomic Networks
    • Genomics and Chromatin Dynamics
    • Viral Infectious Diseases and Gene Expression in Insects

Papers in

    • RNA Research and Splicing 9
    • RNA and protein synthesis mechanisms 7
    • Fungal and yeast genetics research 5
    • Viral Infectious Diseases and Gene Expression in Insects 3
    • RNA modifications and cancer 2
    • Viral Infections and Immunology Research 4

Ian Dix

12 papers receiving 634 citations

Peers

Ian Dix
Comparison fields: 5 of 44
  • Molecular Biology 619
  • Aging 8
  • Genetics 75
  • Cell Biology 42
  • Cancer Research 19
Replace Ivo Fierro-Monti with:
Ivo Fierro-Monti United States
Mincheng Zhang United States
Catherine A. Oleykowski United States
Olivia Novac Canada
Erik Sjölund Sweden
Sally E. Peach United States
Jorge Pérez-Fernández Germany
Tatjana Heidebrecht Netherlands
Claire Boschiero France
Ian Dix relative to Ivo Fierro-Monti United States Ivo Fierro-Monti's profile →
Citations per field
00.5×1.5×2.2×
Ivo Fierro-Monti · 1×
Citations per year

Countries citing papers authored by Ian Dix

Since Specialization
Citations

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

Fields of papers citing papers by Ian Dix

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Ian Dix, 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 Ian Dix Line = papers co-authored together Ian Dix links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2000163
2 2000102
3 199871
4 200048
5 199344
6 200043
7 199841
8 200041
9 199939
10 199832
11 199517
12 19926

About Ian Dix

Ian Dix is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Genetics, Infectious Diseases and Endocrinology, having authored 12 papers that have together received 647 indexed citations. Recurring topics across this work include RNA Research and Splicing (9 papers), RNA and protein synthesis mechanisms (7 papers), Fungal and yeast genetics research (5 papers), Viral Infections and Immunology Research (4 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Virus-based gene therapy research (3 papers), RNA modifications and cancer (2 papers) and Plant and Fungal Interactions Research (1 paper). The work is most often cited by research in Molecular Biology (619 citations), Aging (8 citations), Genetics (75 citations), Cell Biology (42 citations) and Cancer Research (19 citations). Ian Dix has collaborated with scholars based in United Kingdom, Israel and France. Frequent co-authors include Jean D. Beggs, CAROLINE S. RUSSELL, Martin Kupiec, Sigal Ben‐Yehuda, Keith N. Leppard, Andrew J. Newman, Raymond T. O’Keefe, Andrew E. Mayes, Adeline Simon and Laurence Decourty. Their work appears in journals such as RNA, Yeast, Journal of General Virology, Genetics and Journal of Virology.

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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