J. Yates

723 total citations
9 papers, 594 citations indexed

About

J. Yates is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, J. Yates has authored 9 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 4 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in J. Yates's work include Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (5 papers) and Immunotherapy and Immune Responses (4 papers). J. Yates is often cited by papers focused on Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (5 papers) and Immunotherapy and Immune Responses (4 papers). J. Yates collaborates with scholars based in United Kingdom. J. Yates's co-authors include Giovanna Lombardi, Robert I. Lechler, Andrew J.T. George, Niels Olsen Saraiva Câmara, Peng Tan, Pervinder Sagoo, Jamie I. D. Campbell, Brian M. J. Foxwell, Sven C. Beutelspacher and Peter Mitchell and has published in prestigious journals such as Blood, The Journal of Immunology and Journal of Immunological Methods.

In The Last Decade

J. Yates

9 papers receiving 589 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Yates United Kingdom 8 403 105 98 54 49 9 594
Bożena Chodynicka Poland 14 361 0.9× 86 0.8× 139 1.4× 40 0.7× 89 1.8× 49 608
Octavio Morante-Palacios Spain 11 273 0.7× 54 0.5× 212 2.2× 32 0.6× 46 0.9× 13 513
Charles W. Bell United States 4 290 0.7× 42 0.4× 168 1.7× 23 0.4× 28 0.6× 5 578
Isabelle Pâris France 8 267 0.7× 76 0.7× 107 1.1× 20 0.4× 25 0.5× 17 570
Margareta Klein Sweden 7 530 1.3× 98 0.9× 142 1.4× 25 0.5× 14 0.3× 8 767
Karin Önnheim Sweden 13 303 0.8× 49 0.5× 255 2.6× 27 0.5× 59 1.2× 19 530
Tomasz Ślebioda Poland 14 323 0.8× 98 0.9× 225 2.3× 33 0.6× 36 0.7× 25 662
Yu‐Jung Heo South Korea 11 306 0.8× 102 1.0× 119 1.2× 8 0.1× 101 2.1× 15 524
Hongdi Ma China 10 231 0.6× 83 0.8× 226 2.3× 17 0.3× 16 0.3× 13 560
Lisa Abernathy‐Close United States 12 203 0.5× 76 0.7× 122 1.2× 12 0.2× 24 0.5× 24 498

Countries citing papers authored by J. Yates

Since Specialization
Citations

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

Fields of papers citing papers by J. Yates

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

9 of 9 papers shown
1.
Yates, J., et al.. (2008). Natural regulatory T cells: number and function are normal in the majority of patients with lupus nephritis. Clinical & Experimental Immunology. 153(1). 44–55. 58 indexed citations
2.
Yates, J., Peter Mitchell, Behdad Afzali, et al.. (2007). The maintenance of human CD4+CD25+ regulatory T cell function: IL-2, IL-4, IL-7 and IL-15 preserve optimal suppressive potency in vitro. International Immunology. 19(6). 785–799. 88 indexed citations
3.
Garden, Oliver A., Peter Reynolds, J. Yates, et al.. (2006). A rapid method for labelling CD4+ T cells with ultrasmall paramagnetic iron oxide nanoparticles for magnetic resonance imaging that preserves proliferative, regulatory and migratory behaviour in vitro. Journal of Immunological Methods. 314(1-2). 123–133. 28 indexed citations
4.
Tan, Peng, Pervinder Sagoo, J. Yates, et al.. (2005). Inhibition of NF-κB and Oxidative Pathways in Human Dendritic Cells by Antioxidative Vitamins Generates Regulatory T Cells. The Journal of Immunology. 174(12). 7633–7644. 177 indexed citations
5.
Eren, Efrem, J. Yates, Kate Cwynarski, et al.. (2005). Location of Major Histocompatibility Complex Class II Molecules in Rafts on Dendritic Cells Enhances the Efficiency of T‐Cell Activation and Proliferation. Scandinavian Journal of Immunology. 63(1). 7–16. 34 indexed citations
6.
Sagoo, Pervinder, Chu‐yan Chan, J. Yates, et al.. (2005). Inhibition of NFkB and oxidative pathways in human dendritic cells by anti-oxidative vitamins generates regulatory T cells. Research Portal (King's College London). 92. 134–134. 1 indexed citations
7.
Carlin, Leo M., Kumiko Yanagi, Adrienne Verhoef, et al.. (2005). Secretion of IFN-γ and not IL-2 by anergic human T cells correlates with assembly of an immature immune synapse. Blood. 106(12). 3874–3879. 22 indexed citations
8.
Tan, Peng, J. Yates, Shao‐An Xue, et al.. (2005). Creation of tolerogenic human dendritic cells via intracellular CTLA4: a novel strategy with potential in clinical immunosuppression. Blood. 106(9). 2936–2943. 53 indexed citations
9.
Yates, J., et al.. (2004). Differential expression of CTLA-4 among T cell subsets. Clinical & Experimental Immunology. 136(3). 463–471. 133 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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