J. Styles

624 citations
7 papers · 525 · h-index 6

Impact in

Papers in

    • Machine Learning in Bioinformatics 1
    • Prion Diseases and Protein Misfolding 1
    • Glycosylation and Glycoproteins Research 1
    • S100 Proteins and Annexins 1
    • Alzheimer's disease research and treatments 5

J. Styles

7 papers receiving 509 citations

Peers

J. Styles
Comparison fields: 5 of 58
  • Physiology 461
  • Neurology 52
  • Computational Theory and Mathematics 85
  • Pharmacology 89
  • Psychiatry and Mental health 70
Replace Hubert Backhovens with:
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J. Styles relative to Hubert Backhovens Belgium Hubert Backhovens's profile →
Citations per field
00.5×9.5×
Hubert Backhovens · 1×
Citations per year

Countries citing papers authored by J. Styles

Since Specialization
Citations

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

Fields of papers citing papers by J. Styles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside J. Styles, 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 J. Styles Line = papers co-authored together J. Styles links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 1993426
2 199140
3 198724
4
The expression and processing of human beta-amyloid peptide precursors in Saccharomyces cerevisiae: evidence for a novel endopeptidase in the yeast secretory system.
199415
5 19899
6 19948
7 19903

About J. Styles

J. Styles is a scholar working on Molecular Biology, Physiology, Oncology, Clinical Biochemistry and Computational Theory and Mathematics, having authored 7 papers that have together received 525 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (5 papers), Drug Transport and Resistance Mechanisms (2 papers), Metabolism and Genetic Disorders (1 paper), Machine Learning in Bioinformatics (1 paper), Computational Drug Discovery Methods (1 paper), Prion Diseases and Protein Misfolding (1 paper), Glycosylation and Glycoproteins Research (1 paper) and S100 Proteins and Annexins (1 paper). The work is most often cited by research in Physiology (461 citations), Neurology (52 citations), Computational Theory and Mathematics (85 citations), Pharmacology (89 citations) and Psychiatry and Mental health (70 citations). J. Styles has collaborated with scholars based in United States and France. Frequent co-authors include Debra L. Miller, S. A. Bobin, Khalid Iqbal, K. Biemann, Ioannis A. Papayannopoulos, Anna Potempska, Julia R. Currie, G. Y. Wen, P. A. Merz and Henryk M. Wı́sniewski. Their work appears in journals such as Journal of Biological Chemistry, Archives of Biochemistry and Biophysics, Journal of Neuropathology & Experimental Neurology, Annals of Medicine and Acta Neuropathologica.

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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