S Shaw

536 total citations
10 papers, 470 citations indexed

About

S Shaw is a scholar working on Immunology, Immunology and Allergy and Molecular Biology. According to data from OpenAlex, S Shaw has authored 10 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 4 papers in Immunology and Allergy and 2 papers in Molecular Biology. Recurrent topics in S Shaw's work include Cell Adhesion Molecules Research (4 papers), Immunotherapy and Immune Responses (3 papers) and Immune Cell Function and Interaction (3 papers). S Shaw is often cited by papers focused on Cell Adhesion Molecules Research (4 papers), Immunotherapy and Immune Responses (3 papers) and Immune Cell Function and Interaction (3 papers). S Shaw collaborates with scholars based in United States, India and Canada. S Shaw's co-authors include Gale E. Ginther Luce, Kevin Horgan, Yoichiro Tanaka, Tamás Schweighoffer, David J. Erle, Mark Tidswell, David Buck, A I Lazarovits, Martin E. Sanders and Malegapuru W. Makgoba and has published in prestigious journals such as The Journal of Immunology, ACS Applied Materials & Interfaces and Human Immunology.

In The Last Decade

S Shaw

10 papers receiving 458 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
S Shaw United States 7 324 202 95 48 47 10 470
Murphy Gf United States 7 256 0.8× 85 0.4× 47 0.5× 30 0.6× 45 1.0× 9 447
F. C. Schmalsteig United States 4 317 1.0× 313 1.5× 68 0.7× 24 0.5× 47 1.0× 4 571
Patrick Tan United States 4 523 1.6× 67 0.3× 57 0.6× 36 0.8× 118 2.5× 6 654
S. Craig Stocks United Kingdom 12 261 0.8× 166 0.8× 125 1.3× 21 0.4× 106 2.3× 14 569
Pat Hoffman United States 10 164 0.5× 145 0.7× 80 0.8× 23 0.5× 58 1.2× 16 451
Beatty Pg United States 8 268 0.8× 220 1.1× 43 0.5× 23 0.5× 36 0.8× 18 529
C K Hurley United States 12 387 1.2× 55 0.3× 236 2.5× 31 0.6× 44 0.9× 21 534
Pierre Graber Switzerland 4 370 1.1× 124 0.6× 142 1.5× 36 0.8× 54 1.1× 4 515
Matthew J. Deeths United States 9 439 1.4× 62 0.3× 33 0.3× 38 0.8× 144 3.1× 10 553
C. Mingari Italy 7 218 0.7× 34 0.2× 173 1.8× 27 0.6× 53 1.1× 11 416

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-authorship network of co-authors of S Shaw

This figure shows the co-authorship network connecting the top 25 collaborators of S Shaw. A scholar is included among the top collaborators of S Shaw based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with S Shaw. S Shaw is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Sarkar, Ankan Kumar, et al.. (2023). Nuclear Transport of the Molecular Drug via Nanocarrier-Based Nonendocytic Cellular Uptake. ACS Applied Materials & Interfaces. 15(33). 39176–39185. 7 indexed citations
2.
Shaw, S, Ankan Kumar Sarkar, & Nikhil R. Jana. (2023). Protein Delivery to the Cytosol and Cell Nucleus via Micellar Nanocarrier-Based Nonendocytic Uptake. ACS Applied Bio Materials. 6(10). 4200–4207. 4 indexed citations
3.
Schweighoffer, Tamás, Yoichiro Tanaka, Mark Tidswell, et al.. (1993). Selective expression of integrin alpha 4 beta 7 on a subset of human CD4+ memory T cells with Hallmarks of gut-trophism.. The Journal of Immunology. 151(2). 717–729. 230 indexed citations
4.
Horgan, Kevin, Gale E. Ginther Luce, Yoichiro Tanaka, et al.. (1992). Differential expression of VLA-alpha 4 and VLA-beta 1 discriminates multiple subsets of CD4+CD45R0+ "memory" T cells. The Journal of Immunology. 149(12). 4082–4087. 39 indexed citations
5.
Shaw, S, et al.. (1992). The Range of Motion of the Metacarpo-Phalangeal Joint of the Thumb and Its Relationship to Injury. Journal of Hand Surgery (European Volume). 17(2). 164–166. 17 indexed citations
6.
Horgan, Kevin, G A van Seventer, & S Shaw. (1989). 7.2-01 Hyporesponsiveness of “naive” (CD45RA+) human T cells to multiple receptor-mediated stimuli but augmentation of response by costimuli. Human Immunology. 26. 63–63. 4 indexed citations
7.
Sanders, Martin E., Malegapuru W. Makgoba, Eileen Sussman, et al.. (1988). Molecular pathways of adhesion in spontaneous rosetting of T-lymphocytes to the Hodgkin's cell line L428.. PubMed. 48(1). 37–40. 52 indexed citations
8.
Selvaraj, P., M L Plunkett, Michael L. Dustin, et al.. (1987). THE LYMPHOCYTE-T GLYCOPROTEIN CD2 (LFA-2/T11/E-ROSETTE RECEPTOR) BINDS THE CELL-SURFACE LIGAND LFA-3. 46. 447–447. 11 indexed citations
9.
Shaw, S, et al.. (1987). ANALYSIS OF THE LFA-1 AND CD2/LFA-3 PATHWAYS OF ANTIGEN-INDEPENDENT ADHESION USED BY HUMAN CYTOTOXIC T-CELL CLONES. 46. 919–919. 3 indexed citations
10.
Shaw, S & Gale E. Ginther Luce. (1987). The lymphocyte function-associated antigen (LFA)-1 and CD2/LFA-3 pathways of antigen-independent human T cell adhesion.. The Journal of Immunology. 139(4). 1037–1045. 103 indexed citations

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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