S. Young

778 citations
10 papers · 709 · h-index 7

Impact in

    • Protein Kinase Regulation and GTPase Signaling
    • Receptor Mechanisms and Signaling
    • Glycosylation and Glycoproteins Research
    • Ion channel regulation and function
    • Signaling Pathways in Disease
    • Plant biochemistry and biosynthesis

Papers in

    • Viral Infectious Diseases and Gene Expression in Insects 2
    • Glycosylation and Glycoproteins Research 2
    • Protein Kinase Regulation and GTPase Signaling 2
    • Protein purification and stability 1
    • Plant biochemistry and biosynthesis 1
    • HER2/EGFR in Cancer Research 1

S. Young

10 papers receiving 684 citations

Peers

S. Young
Comparison fields: 5 of 93
  • Molecular Biology 508
  • Cell Biology 84
  • Cellular and Molecular Neuroscience 77
  • Process Chemistry and Technology 12
  • Oncology 100
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S. Young relative to Nozomu Takahashi Japan Nozomu Takahashi's profile →
Citations per field
00.5×
Nozomu Takahashi · 1×
Citations per year

Countries citing papers authored by S. Young

Since Specialization
Citations

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

Fields of papers citing papers by S. Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 1987406
2 1987106
3 198475
4 200346
5 199438
6 197619
7 199113
8 19784
9 19721
10 20101

About S. Young

S. Young is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Nephrology and Cellular and Molecular Neuroscience, having authored 10 papers that have together received 709 indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (2 papers), Glycosylation and Glycoproteins Research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), HER2/EGFR in Cancer Research (1 paper), Protein purification and stability (1 paper), Plant biochemistry and biosynthesis (1 paper) and Adenosine and Purinergic Signaling (1 paper). The work is most often cited by research in Molecular Biology (508 citations), Cell Biology (84 citations), Cellular and Molecular Neuroscience (77 citations), Process Chemistry and Technology (12 citations) and Oncology (100 citations). S. Young has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include Peter J. Parker, Silvia Stabel, A. Ullrich, Enrique Rozengurt, Angeles Rodríguez‐Peña, M.D. Waterfield, William J. Gullick, E. L. V. Mayes, Thomas M. Schmidt and Eric S. Boyd. Their work appears in journals such as Human Genetics, Biochemical Journal, Journal of Biological Chemistry, Journal of Cellular Physiology and Proceedings of the National Academy of Sciences.

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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