John Stuart

4.1k total citations
100 papers, 3.2k citations indexed

About

John Stuart is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology and Immunology and Allergy. According to data from OpenAlex, John Stuart has authored 100 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Radiology, Nuclear Medicine and Imaging, 36 papers in Immunology and 31 papers in Immunology and Allergy. Recurrent topics in John Stuart's work include Monoclonal and Polyclonal Antibodies Research (36 papers), Cell Adhesion Molecules Research (31 papers) and T-cell and B-cell Immunology (20 papers). John Stuart is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (36 papers), Cell Adhesion Molecules Research (31 papers) and T-cell and B-cell Immunology (20 papers). John Stuart collaborates with scholars based in United States, China and United Kingdom. John Stuart's co-authors include Andrew H. Kang, Alexander S. Townes, Linda K. Myers, Karen A. Hasty, Edward F. Rosloniec, David Brand, Michael A. Cremer, Chella S. David, Paul H. Wooley and Harvinder S. Luthra and has published in prestigious journals such as The Lancet, Journal of Biological Chemistry and Nature Medicine.

In The Last Decade

John Stuart

95 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Stuart United States 29 1.2k 1.1k 921 906 586 100 3.2k
Alexander S. Townes United States 29 1.5k 1.2× 1.9k 1.8× 1.4k 1.6× 1.8k 2.0× 692 1.2× 56 4.6k
Virginia L. Calder United Kingdom 37 1.0k 0.8× 578 0.5× 511 0.6× 991 1.1× 552 0.9× 108 3.8k
Toshihiro Nanki Japan 33 1.8k 1.4× 1.3k 1.2× 345 0.4× 290 0.3× 861 1.5× 154 4.0k
Fenneke G. Joslin United States 23 1.7k 1.4× 525 0.5× 916 1.0× 233 0.3× 745 1.3× 30 3.0k
Joël A. G. van Roon Netherlands 37 1.7k 1.4× 1.1k 1.0× 282 0.3× 216 0.2× 539 0.9× 83 3.5k
R E Gay Switzerland 29 737 0.6× 1.3k 1.3× 183 0.2× 321 0.4× 1.2k 2.0× 64 3.2k
Hitoshi Kohsaka Japan 36 1.5k 1.2× 1.0k 1.0× 292 0.3× 153 0.2× 1.2k 2.1× 158 4.0k
C.D. Dijkstra Netherlands 26 1.9k 1.5× 377 0.4× 347 0.4× 337 0.4× 986 1.7× 53 4.3k
Nathan Karin Israel 35 3.3k 2.7× 451 0.4× 487 0.5× 600 0.7× 1.0k 1.7× 62 5.2k
Arjen B. Blom Netherlands 38 1.1k 0.9× 3.0k 2.9× 276 0.3× 405 0.4× 1.9k 3.3× 93 4.8k

Countries citing papers authored by John Stuart

Since Specialization
Citations

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

Fields of papers citing papers by John Stuart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Stuart

This figure shows the co-authorship network connecting the top 25 collaborators of John Stuart. A scholar is included among the top collaborators of John Stuart 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 John Stuart. John Stuart 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.
Dong, Wei, Jiamin Ma, David Brand, et al.. (2024). Deficiency of interleukin-1 receptor antagonist in mice differentially affects bone properties under different genomic backgrounds. Scientific Reports. 14(1). 19889–19889. 1 indexed citations
2.
Kim, Young‐In, Hongsik Cho, David Brand, et al.. (2019). Ameliorating effects of Gö6976, a pharmacological agent that inhibits protein kinase D, on collagen-induced arthritis. PLoS ONE. 14(12). e0226145–e0226145. 2 indexed citations
3.
Park, Jeoung-Eun, David Brand, Edward F. Rosloniec, et al.. (2018). The role of Syk in peripheral T cells. Clinical Immunology. 192. 50–57. 7 indexed citations
4.
Liu, Xiaoyun, Yan Jiao, Yanhong Cao, et al.. (2016). Decreased expression levels of Ifi genes is associated to the increased resistance to spontaneous arthritis disease in mice deficiency of IL-1RA. BMC Immunology. 17(1). 25–25. 6 indexed citations
5.
Tang, Bo, Seung‐Hyun Kim, Sarah E. Hammond, et al.. (2014). Characterization of T cell phenotype and function in a double transgenic (collagen-specific TCR/HLA-DR1) humanized model of arthritis. Arthritis Research & Therapy. 16(1). R7–R7. 17 indexed citations
6.
Park, Jeoung-Eun, Lillian Zalduondo, Ae‐Kyung Yi, et al.. (2012). Molecular Basis for T Cell Response Induced by Altered Peptide Ligand of Type II Collagen. Journal of Biological Chemistry. 287(23). 19765–19774. 8 indexed citations
7.
Cao, Yanhong, Yan Jiao, Lishi Wang, et al.. (2012). Anakinra as an interleukin 1 receptor antagonist, complicated genetics and molecular impacts- from the point of view of mouse genomics. International Immunopharmacology. 13(1). 28–36. 14 indexed citations
8.
Jiao, Yan, Feng Jiao, Jian Yan, et al.. (2011). Identifying a major locus that regulates spontaneous arthritis in IL-1ra-deficient mice and analysis of potential candidates. Genetics Research. 93(2). 95–103. 13 indexed citations
10.
Xiong, Qing, Yan Jiao, Karen A. Hasty, et al.. (2008). Genetic and Molecular Basis of Quantitative Trait Loci of Arthritis in Rat: Genes and Polymorphisms. The Journal of Immunology. 181(2). 859–864. 5 indexed citations
11.
Jiao, Yan, Jian Yan, Feng Jiao, et al.. (2007). A single nucleotide mutation in Nppc is associated with a long bone abnormality in lbab mice. BMC Genetics. 8(1). 16–16. 24 indexed citations
12.
Yan, Jian, Yan Jiao, Feng Jiao, et al.. (2006). Effects of carbonic anhydrase VIII deficiency on cerebellar gene expression profiles in the wdl mouse. Neuroscience Letters. 413(3). 196–201. 11 indexed citations
13.
Myers, Linda K., Johanna Myllyharju, Minna Nokelainen, et al.. (2004). Relevance of Posttranslational Modifications for the Arthritogenicity of Type II Collagen. The Journal of Immunology. 172(5). 2970–2975. 118 indexed citations
14.
Tang, Bo, et al.. (2004). Pathogenesis of collagen‐induced arthritis: modulation of disease by arthritogenic T‐cell epitope location. Immunology. 113(3). 384–391. 2 indexed citations
15.
Brand, David, Linda K. Myers, Karen B. Whittington, et al.. (2002). Detection of Early Changes in Autoimmune T Cell Phenotype and Function Following Intravenous Administration of Type II Collagen in a TCR-Transgenic Model. The Journal of Immunology. 168(1). 490–498. 30 indexed citations
16.
He, Xiaowen, Cornelia M. Weyand, Jörg J. Goronzy, Wanyun Zhong, & John Stuart. (2002). Bi-directional modulation of T cell-dependent antibody production by prostaglandin E2. International Immunology. 14(1). 69–77. 11 indexed citations
17.
Fox, Janet L., et al.. (1993). Effect of transdermal oestradiol on the haemostatic balance of menopausal women. Maturitas. 18(1). 55–64. 23 indexed citations
18.
Ellory, J. Clive, et al.. (1992). Nitrendipine is a potent inhibitor of the Ca2+‐activated K+ channel of human erythrocytes. FEBS Letters. 296(2). 219–221. 39 indexed citations
19.
Watson, William C., et al.. (1991). SWR mice are resistant to collagen‐induced arthritis but produce potentially arthritogenic antibodies. Arthritis & Rheumatism. 34(6). 776–781. 26 indexed citations
20.
Stuart, John & Gerard B. Nash. (1990). Technological Advances in Blood Rheology. Critical Reviews in Clinical Laboratory Sciences. 28(1). 61–93. 20 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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