Alan J. Young

2.0k total citations
64 papers, 1.7k citations indexed

About

Alan J. Young is a scholar working on Immunology, Molecular Biology and Immunology and Allergy. According to data from OpenAlex, Alan J. Young has authored 64 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Immunology, 18 papers in Molecular Biology and 12 papers in Immunology and Allergy. Recurrent topics in Alan J. Young's work include T-cell and B-cell Immunology (18 papers), Immunotherapy and Immune Responses (16 papers) and Cell Adhesion Molecules Research (12 papers). Alan J. Young is often cited by papers focused on T-cell and B-cell Immunology (18 papers), Immunotherapy and Immune Responses (16 papers) and Cell Adhesion Molecules Research (12 papers). Alan J. Young collaborates with scholars based in United States, Canada and Switzerland. Alan J. Young's co-authors include John B. Hay, Gudrun F. Debes, Stefan Krautwald, Martin Lipp, Carrie Arnold, Eugene C. Butcher, Lisbeth Dudler, Wendy L. Marston, W. Hein and Radhey S. Kaushik and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and Nature Immunology.

In The Last Decade

Alan J. Young

63 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alan J. Young United States 24 748 497 262 150 117 64 1.7k
Satish Devadas India 14 1.1k 1.5× 653 1.3× 293 1.1× 107 0.7× 87 0.7× 22 2.0k
Giselle Pentón‐Rol Cuba 20 1.1k 1.5× 445 0.9× 222 0.8× 85 0.6× 60 0.5× 30 1.9k
Marion Bonnet France 17 808 1.1× 993 2.0× 169 0.6× 112 0.7× 100 0.9× 33 1.9k
Tsunetaka Ohta Japan 20 1.3k 1.8× 999 2.0× 481 1.8× 86 0.6× 109 0.9× 53 2.2k
Diana Di Liberto Italy 22 1.1k 1.5× 520 1.0× 383 1.5× 362 2.4× 169 1.4× 59 2.1k
Pradeep Bist Singapore 24 651 0.9× 950 1.9× 283 1.1× 158 1.1× 44 0.4× 39 1.8k
Ana L. Alessandri Brazil 15 490 0.7× 346 0.7× 164 0.6× 84 0.6× 87 0.7× 18 1.0k
Roland Hilgarth United States 22 509 0.7× 1.0k 2.0× 179 0.7× 90 0.6× 173 1.5× 33 1.7k
Olga Gavrilova Russia 17 229 0.3× 569 1.1× 205 0.8× 113 0.8× 153 1.3× 85 1.5k

Countries citing papers authored by Alan J. Young

Since Specialization
Citations

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

Fields of papers citing papers by Alan J. Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alan J. Young

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

All Works

20 of 20 papers shown
1.
2.
Faburay, Bonto, et al.. (2021). Myeloid-like γδ T cell subset in the immune response to an experimental Rift Valley fever vaccine in sheep. Veterinary Immunology and Immunopathology. 233. 110184–110184. 3 indexed citations
3.
Abdelsalam, Karim, et al.. (2020). Bovine viral diarrhea virus compromises Neutrophil's functions in strain dependent manner. Microbial Pathogenesis. 149. 104515–104515. 6 indexed citations
4.
Okda, Faten A., Linto Antony, Milton Thomas, et al.. (2020). Characterization of bovine ileal epithelial cell line for lectin binding, susceptibility to enteric pathogens, and TLR mediated immune responses. Comparative Immunology Microbiology and Infectious Diseases. 74. 101581–101581. 7 indexed citations
5.
Young, Alan J.. (2019). Adjuvants. Veterinary Clinics of North America Food Animal Practice. 35(3). 391–403. 5 indexed citations
6.
Faburay, Bonto, D. Scott McVey, William C. Wilson, et al.. (2014). A Glycoprotein Subunit Vaccine Elicits a Strong Rift Valley Fever Virus Neutralizing Antibody Response in Sheep. Vector-Borne and Zoonotic Diseases. 14(10). 746–756. 43 indexed citations
8.
Faburay, Bonto, William C. Wilson, D. Scott McVey, et al.. (2013). Rift Valley Fever Virus Structural and Nonstructural Proteins: Recombinant Protein Expression and Immunoreactivity Against Antisera from Sheep. Vector-Borne and Zoonotic Diseases. 13(9). 619–629. 31 indexed citations
9.
Tamgüney, Gültekin, Jürgen A. Richt, Amir N. Hamir, et al.. (2012). Salivary prions in sheep and deer. Prion. 6(1). 52–61. 44 indexed citations
10.
Chen, Wei, Teresa Seefeldt, Alan J. Young, et al.. (2012). Microtubule S-glutathionylation as a potential approach for antimitotic agents. BMC Cancer. 12(1). 245–245. 21 indexed citations
11.
Lee, Michael K., et al.. (2011). B cell traffic through skin increases during inflammation (161.13). The Journal of Immunology. 186(1_Supplement). 161.13–161.13. 1 indexed citations
12.
Knudsen, David, et al.. (2011). Enhancement of immunohistochemical staining of scrapie proteins and immune cells within lymph nodes of early scrapie-infected sheep. Journal of Immunological Methods. 371(1-2). 1–7. 2 indexed citations
13.
Zhang, Xiaoying, Radhey S. Kaushik, Alan J. Young, et al.. (2011). Effects of magnolol on UVB-induced skin cancer development in mice and its possible mechanism of action. BMC Cancer. 11(1). 456–456. 45 indexed citations
14.
Young, Alan J., Wolfgang Holzgreve, Lisbeth Dudler, Andreina Schoeberlein, & Daniel Surbek. (2003). Engraftment of human cord blood-derived stem cells in preimmune ovine fetuses after ultrasound-guided in utero transplantation. American Journal of Obstetrics and Gynecology. 189(3). 698–701. 30 indexed citations
15.
West, Charles A., Chunbo He, Alan J. Young, et al.. (2002). Spatial variation of plasma flow in the oxazolone-stimulated microcirculation. Inflammation Research. 51(12). 572–578. 5 indexed citations
16.
Surbek, Daniel, Alan J. Young, Enrico Danzer, et al.. (2002). Ultrasound-guided stem cell sampling from the early ovine fetus for prenatal ex vivo gene therapy. American Journal of Obstetrics and Gynecology. 187(4). 960–963. 23 indexed citations
17.
Young, Alan J., Wendy L. Marston, & Lisbeth Dudler. (2000). Subset-Specific Regulation of the Lymphatic Exit of Recirculating Lymphocytes In Vivo. The Journal of Immunology. 165(6). 3168–3174. 29 indexed citations
18.
Young, Alan J., Lisbeth Dudler, & Wendy L. Marston. (2000). An enhanced role for the recirculating lymphocyte in the neonatal immune system. Developmental & Comparative Immunology. 24(6-7). 691–701. 3 indexed citations
19.
Young, Alan J.. (1999). The physiology of lymphocyte migration through the single lymph node in vivo. Seminars in Immunology. 11(2). 73–83. 108 indexed citations
20.
Young, Alan J., John B. Hay, & Charles R. Mackay. (1993). Lymphocyte Recirculation and Life Span In Vivo. Current topics in microbiology and immunology. 184. 161–173. 33 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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