J. Hay

760 total citations
34 papers, 607 citations indexed

About

J. Hay is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, J. Hay has authored 34 papers receiving a total of 607 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Immunology and 6 papers in Cancer Research. Recurrent topics in J. Hay's work include Glycosylation and Glycoproteins Research (4 papers), Lymphatic System and Diseases (4 papers) and Semiconductor Quantum Structures and Devices (3 papers). J. Hay is often cited by papers focused on Glycosylation and Glycoproteins Research (4 papers), Lymphatic System and Diseases (4 papers) and Semiconductor Quantum Structures and Devices (3 papers). J. Hay collaborates with scholars based in Canada, United Kingdom and Australia. J. Hay's co-authors include J. Baddiley, Gary M. Gray, A. R. Archibald, J. J. Armstrong, A. J. Wicken, M. G. Johnston, P J Lachmann, Z. Trnka, John P. Durham and William T. Melvin and has published in prestigious journals such as Nature, Nucleic Acids Research and The Journal of Immunology.

In The Last Decade

J. Hay

32 papers receiving 537 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. Hay Canada	17	211	131	53	52	48	34	607
Kazuo Hashimoto Japan	12	171 0.8×	99 0.8×	29 0.5×	47 0.9×	101 2.1×	51	501
Christine B. Pearson United States	17	272 1.3×	147 1.1×	67 1.3×	72 1.4×	51 1.1×	22	742
R.D. Eichner Australia	11	223 1.1×	130 1.0×	141 2.7×	39 0.8×	20 0.4×	20	672
S. Swaminathan United States	11	446 2.1×	238 1.8×	30 0.6×	29 0.6×	72 1.5×	18	1.0k
Manami Tanaka Japan	20	359 1.7×	63 0.5×	55 1.0×	43 0.8×	34 0.7×	64	883
Yeong-Man Hong Japan	16	449 2.1×	114 0.9×	15 0.3×	61 1.2×	72 1.5×	33	811
E Leone Italy	15	440 2.1×	68 0.5×	30 0.6×	83 1.6×	59 1.2×	36	720
Elliott Bedows United States	19	612 2.9×	180 1.4×	72 1.4×	34 0.7×	123 2.6×	48	1.0k
T Shimamoto Japan	12	502 2.4×	244 1.9×	43 0.8×	112 2.2×	75 1.6×	27	922
Jan G. Dohlman United States	7	437 2.1×	69 0.5×	25 0.5×	24 0.5×	49 1.0×	9	673

Countries citing papers authored by J. Hay

Since Specialization

Citations

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

Fields of papers citing papers by J. Hay

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Hay

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

All Works

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20 of 20 papers shown

Conrey, Richard M., et al.. (2019). Combined Use of Multiple Internal and External Standards in LA-ICPMS Analysis of Geologic Samples Using Lithium Borate Fused Glass. AGU Fall Meeting Abstracts. 2019. 2 indexed citations

Karrow, Niel A., et al.. (2010). Activation of the ovine hypothalamic-pituitary-adrenal axis and febrile response by interleukin-6: a comparative study with bacterial lipopolysaccharide endotoxin.. PubMed. 74(1). 30–3. 3 indexed citations

Debacq, Christophe, Nicolas Gillet, Becca Asquith, et al.. (2006). Peripheral Blood B-Cell Death Compensates for Excessive Proliferation in Lymphoid Tissues and Maintains Homeostasis in Bovine Leukemia Virus-InfectedSheep. Journal of Virology. 80(19). 9710–9719. 21 indexed citations

McCulloch, Christopher A., et al.. (2001). Tissue specificity of lymphocyte migration into sheep gingival tissue. Archives of Oral Biology. 46(9). 835–845. 5 indexed citations

Dahal, G., et al.. (1996). Variation in the genome of rice tungro bacilliform virus: molecular characterization of six isolates. Journal of General Virology. 77(5). 847–854. 37 indexed citations

Semple, John L., et al.. (1995). Repeated Exposure to Silicone Gel Can Induce Delayed Hypersensitivity. Plastic & Reconstructive Surgery. 96(2). 371–380. 26 indexed citations

Borron, Paul & J. Hay. (1994). Characterization of ovine lymphatic endothelial cells and their interactions with lymphocytes.. PubMed. 27(1). 6–13. 18 indexed citations

Yuan, Zhiyong, Helen Rodela, J. Hay, D. G. Oreopoulos, & M. G. Johnston. (1994). 51Cr-RBCs and 125I-albumin as markers to estimate lymph drainage of the peritoneal cavity in sheep. Journal of Applied Physiology. 76(2). 867–874. 7 indexed citations

Tran, Lisa, Helen Rodela, Zhiyong Yuan, et al.. (1993). Lymphatic drainage of hypertonic solution from peritoneal cavity of anesthetized and conscious sheep. Journal of Applied Physiology. 74(2). 859–867. 16 indexed citations

10.

Young, Adamo, J. Hay, & John Chan. (1990). Primary structure of ovine tumor necrosis factor alpha cDNA. Nucleic Acids Research. 18(22). 6723–6723. 17 indexed citations

11.

Laschinger, Carol, M. G. Johnston, J. Hay, & Safia Wasi. (1990). Production of plasminogen activator and plasminogen activator inhibitor by bovine lymphatic endothelial cells: Modulation by TNF-α. Thrombosis Research. 59(3). 567–579. 12 indexed citations

12.

Wasi, Safia, et al.. (1982). The production of plasminogen activator by afferent but not efferent lymph cells emigrating from chronic granulomatous lesions in sheep.. The Journal of Immunology. 128(3). 1076–1082. 11 indexed citations

13.

Issekutz, Thomas B., et al.. (1982). The characterization of lymphocytes migrating through chronically inflamed tissues.. PubMed. 46(1). 59–66. 22 indexed citations

14.

Hay, J., et al.. (1976). Studies on the glycolipids of sheep thymus and of normal and concanavalin A-stimulated sheep peripheral lymphocytes. Biochimica et Biophysica Acta (BBA) - Lipids and Lipid Metabolism. 431(3). 578–591. 24 indexed citations

15.

Hay, J., M. G. Johnston, Barry B. Hobbs, & Henry Z. Movat. (1975). The Use of Radioactive Microspheres to Quantitate Hyperemia in Dermal Inflammatory Sites. Experimental Biology and Medicine. 150(3). 641–644. 18 indexed citations

16.

Hay, J., P J Lachmann, & Z. Trnka. (1973). The appearance of migration inhibition factor and a mitogen in lymph draining tuberculin reactions. European Journal of Immunology. 3(3). 127–131. 33 indexed citations

17.

Hay, J. & Gary M. Gray. (1970). Glycosphingolipid biosynthesis in kidneys of normal C3HHe mice and of those with BP8 ascites tumours. Biochemical and Biophysical Research Communications. 38(3). 527–532. 9 indexed citations

18.

Hay, J. & Gary M. Gray. (1966). The Isolation of O-β-d-Galactopyranosyl-(1→14)-d-galactose: a Product of the Partial Acid Hydrolysis of the Galactan of White-Lupin (Lupinus albus) Seeds. Biochemical Journal. 100(3). 33C–35C. 3 indexed citations

19.

Hay, J., et al.. (1965). The Chain Length of Ribitol Teichoic Acids and the Nature of their Association with Bacterial Cell Walls. Biochemical Journal. 94(1). 7C–9C. 13 indexed citations

20.

Hay, J.. (1960). Brucellosis in hares in Poland.. Medycyna Weterynaryjna. 16. 577–581.

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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