S Shaw

544 citations
14 papers · 477 · h-index 7

Impact in

    • Cell Adhesion Molecules Research
  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation

Papers in

    • Immunotherapy and Immune Responses 3
    • Immune Cell Function and Interaction 3
    • T-cell and B-cell Immunology 2
    • Cell Adhesion Molecules Research 4

S Shaw

10 papers receiving 466 citations

Peers

S Shaw
Comparison fields: 5 of 67
  • Immunology and Allergy 194
  • Immunology 299
  • Radiology, Nuclear Medicine and Imaging 91
  • Virology 19
  • Pathology and Forensic Medicine 47
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Citations per field
00.5×3.3×
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Citations per year

Countries citing papers authored by S Shaw

Since Specialization
Citations

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

Fields of papers citing papers by S Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 1993230
2 1987103
3
Molecular pathways of adhesion in spontaneous rosetting of T-lymphocytes to the Hodgkin's cell line L428.
198852
4 199239
5 199217
6 202312
7
THE LYMPHOCYTE-T GLYCOPROTEIN CD2 (LFA-2/T11/E-ROSETTE RECEPTOR) BINDS THE CELL-SURFACE LIGAND LFA-3
198711
8 20236
9 19894
10
ANALYSIS OF THE LFA-1 AND CD2/LFA-3 PATHWAYS OF ANTIGEN-INDEPENDENT ADHESION USED BY HUMAN CYTOTOXIC T-CELL CLONES
19873
11 20250
12 20260
13 20250
14 20250

About S Shaw

S Shaw is a scholar working on Immunology, Immunology and Allergy, Molecular Biology, Oncology and Biomaterials, having authored 14 papers that have together received 477 indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (4 papers), Immunotherapy and Immune Responses (3 papers), Immune Cell Function and Interaction (3 papers), T-cell and B-cell Immunology (2 papers), Lipid Membrane Structure and Behavior (2 papers), RNA Interference and Gene Delivery (2 papers), Advanced biosensing and bioanalysis techniques (2 papers) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Immunology and Allergy (194 citations), Immunology (299 citations), Radiology, Nuclear Medicine and Imaging (91 citations), Virology (19 citations) and Pathology and Forensic Medicine (47 citations). S Shaw has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Gale E. Ginther Luce, Kevin Horgan, Yoichiro Tanaka, Tamás Schweighoffer, David Buck, David J. Erle, A I Lazarovits, Mark Tidswell, Martin E. Sanders and Eileen Sussman. Their work appears in journals such as The Journal of Immunology, Nano Letters, ACS Applied Materials & Interfaces, New Journal of Chemistry and Journal of Hand Surgery (European Volume).

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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