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

    • Protein Kinase Regulation and GTPase Signaling 2
    • Glycosylation and Glycoproteins Research 2
    • Viral Infectious Diseases and Gene Expression in Insects 2

S. Young

10 papers receiving 684 citations

Peers

S. Young
Comparison fields: 5 of 95
  • Molecular Biology 515
  • Cell Biology 85
  • Process Chemistry and Technology 13
  • Cellular and Molecular Neuroscience 80
  • Oncology 106
Replace Nozomu Takahashi with:
Nozomu Takahashi Japan
Ann C. Marchok United States
J. Thomas Pento United States
K. A. Barzen United States
Catherine K.L. Too Canada
Françoise Bernier‐Valentin France
D G Roman United States
Michiko Endo Japan
Steven J. Powell United Kingdom
S. Young relative to Nozomu Takahashi Japan Nozomu Takahashi's profile →
Citations per field
00.5×4.3×
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 Protein Kinase Regulation and GTPase Signaling (2 papers), Glycosylation and Glycoproteins Research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Microbial Community Ecology and Physiology (1 paper), Renal Diseases and Glomerulopathies (1 paper), Cytomegalovirus and herpesvirus research (1 paper) and Wastewater Treatment and Nitrogen Removal (1 paper). The work is most often cited by research in Molecular Biology (515 citations), Cell Biology (85 citations), Process Chemistry and Technology (13 citations), Cellular and Molecular Neuroscience (80 citations) and Oncology (106 citations). S. Young has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Peter J. Parker, Silvia Stabel, A. Ullrich, Enrique Rozengurt, Angeles Rodrı́guez-Peña, M.D. Waterfield, E. L. V. Mayes, William J. Gullick, Arlene de la Mora and Eric S. Boyd. Their work appears in journals such as Biochemical Journal, Human Genetics, Journal of Biological Chemistry, Journal of Cellular Physiology and Biochemical Genetics.

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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