Ivan T. Shaw

1.3k total citations · 1 hit paper
7 papers, 1.1k citations indexed

About

Ivan T. Shaw is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Ivan T. Shaw has authored 7 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Physiology. Recurrent topics in Ivan T. Shaw's work include Alzheimer's disease research and treatments (2 papers), Neuropeptides and Animal Physiology (2 papers) and Food Allergy and Anaphylaxis Research (1 paper). Ivan T. Shaw is often cited by papers focused on Alzheimer's disease research and treatments (2 papers), Neuropeptides and Animal Physiology (2 papers) and Food Allergy and Anaphylaxis Research (1 paper). Ivan T. Shaw collaborates with scholars based in Canada, United States and Japan. Ivan T. Shaw's co-authors include Neil R. Cashman, Jack P. Antel, Jan Krzysztof Blusztajn, Heather D. Durham, Takeshi Tabira, Kenichiro Oda, Simone Dahrouge, Joséphine Nalbantoglu, Paul E. Bendheim and Richard J. Kascsak and has published in prestigious journals such as Cell, The Journal of Immunology and Annals of the New York Academy of Sciences.

In The Last Decade

Ivan T. Shaw

7 papers receiving 1.1k citations

Hit Papers

Neuroblastoma × spinal cord (NSC) hybrid cell lines resem... 1992 2026 2003 2014 1992 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ivan T. Shaw Canada 7 678 313 220 218 201 7 1.1k
Kaori Kawai Japan 17 532 0.8× 441 1.4× 106 0.5× 245 1.1× 114 0.6× 27 980
Qinzhang Zhu Canada 12 427 0.6× 507 1.6× 377 1.7× 314 1.4× 229 1.1× 12 1.4k
Mohammad M. Doroudchi Canada 9 394 0.6× 275 0.9× 129 0.6× 120 0.6× 82 0.4× 12 713
Chris McKinnon United Kingdom 11 457 0.7× 188 0.6× 244 1.1× 121 0.6× 133 0.7× 17 873
Margaret Wong United States 14 797 1.2× 563 1.8× 139 0.6× 378 1.7× 110 0.5× 27 1.3k
Eva Teuling Netherlands 12 462 0.7× 444 1.4× 274 1.2× 238 1.1× 178 0.9× 14 1.1k
Cheryl Leystra‐Lantz Canada 17 592 0.9× 888 2.8× 154 0.7× 458 2.1× 189 0.9× 24 1.2k
Philippe Sindou France 20 308 0.5× 443 1.4× 582 2.6× 98 0.4× 153 0.8× 34 1.0k
D. H. Dobrogowska United States 18 385 0.6× 88 0.3× 153 0.7× 48 0.2× 530 2.6× 35 1.0k
Thomas Schmitt‐John Germany 20 564 0.8× 390 1.2× 139 0.6× 227 1.0× 112 0.6× 39 1.1k

Countries citing papers authored by Ivan T. Shaw

Since Specialization
Citations

This map shows the geographic impact of Ivan T. 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 Ivan T. Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan T. Shaw more than expected).

Fields of papers citing papers by Ivan T. Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivan T. Shaw

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan T. Shaw. A scholar is included among the top collaborators of Ivan T. 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 Ivan T. Shaw. Ivan T. Shaw is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Jung, Sonia S., et al.. (1997). Lymphocyte content of amyloid precursor protein is increased in Down's syndrome and aging. Neurobiology of Aging. 18(1). 97–103. 25 indexed citations
2.
McLaurin, JoAnne, Géralyn C. Trudel, Ivan T. Shaw, Jack P. Antel, & Neil R. Cashman. (1995). A human glial hybrid cell line differentially expressing genes subserving oligodendrocyte and astrocyte phenotype. Journal of Neurobiology. 26(2). 283–293. 97 indexed citations
3.
Faure, Marie‐Pierre, Pierrette Gaudreau, Ivan T. Shaw, Neil R. Cashman, & Alain Beaudet. (1994). Synthesis of a biologically active fluorescent probe for labeling neurotensin receptors.. Journal of Histochemistry & Cytochemistry. 42(6). 755–763. 30 indexed citations
4.
Rebaï, Najet, André Dagenais, Ivan T. Shaw, et al.. (1993). Amyloid precursor protein in peripheral mononuclear cells is up-regulated with cell activation. The Journal of Immunology. 150(12). 5566–5575. 40 indexed citations
5.
Cashman, Neil R., Heather D. Durham, Jan Krzysztof Blusztajn, et al.. (1992). Neuroblastoma × spinal cord (NSC) hybrid cell lines resemble developing motor neurons. Developmental Dynamics. 194(3). 209–221. 624 indexed citations breakdown →
6.
Faure, Marie‐Pierre, Ivan T. Shaw, Pierrette Gaudreau, Neil R. Cashman, & Alain Beaudet. (1992). Binding and Internalization of Neurotensin in Hybrid Cells Derived from Septal Cholinergic Neuronsa. Annals of the New York Academy of Sciences. 668(1). 345–347. 6 indexed citations
7.
Cashman, Neil R., Rolf Loertscher, Joséphine Nalbantoglu, et al.. (1990). Cellular isoform of the scrapie agent protein participates in lymphocyte activation. Cell. 61(1). 185–192. 272 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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