Paul Bowness

11.3k total citations
131 papers, 6.0k citations indexed

About

Paul Bowness is a scholar working on Immunology, Rheumatology and Hematology. According to data from OpenAlex, Paul Bowness has authored 131 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Immunology, 61 papers in Rheumatology and 34 papers in Hematology. Recurrent topics in Paul Bowness's work include Spondyloarthritis Studies and Treatments (53 papers), Immune Cell Function and Interaction (43 papers) and T-cell and B-cell Immunology (35 papers). Paul Bowness is often cited by papers focused on Spondyloarthritis Studies and Treatments (53 papers), Immune Cell Function and Interaction (43 papers) and T-cell and B-cell Immunology (35 papers). Paul Bowness collaborates with scholars based in United Kingdom, United States and Germany. Paul Bowness's co-authors include Andrew J. McMichael, Simon Kollnberger, Rachel Allen, Antoni Chan, Christopher A. O’Callaghan, Anna Ridley, Hussein Al‐Mossawi, AJ McMichael, Kirsty McHugh and Benedikt M. Kessler and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Paul Bowness

129 papers receiving 5.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul Bowness United Kingdom 45 3.6k 2.7k 1.4k 1.2k 443 131 6.0k
Richard J. Riese United States 36 2.2k 0.6× 2.0k 0.7× 1.0k 0.7× 1.6k 1.3× 1.1k 2.5× 76 7.2k
Gilles Chiocchia France 34 2.3k 0.6× 1.3k 0.5× 436 0.3× 1.4k 1.2× 919 2.1× 104 4.5k
Annemieke M. H. Boots Netherlands 34 2.1k 0.6× 1.2k 0.5× 397 0.3× 822 0.7× 564 1.3× 100 3.9k
Harald Burkhardt Germany 38 1.8k 0.5× 1.9k 0.7× 487 0.3× 1.0k 0.9× 620 1.4× 160 4.7k
Shirou Fukuhara Japan 37 2.9k 0.8× 490 0.2× 1.1k 0.8× 1.6k 1.3× 943 2.1× 143 5.7k
Rosa Sorrentino Italy 31 2.1k 0.6× 1.1k 0.4× 418 0.3× 626 0.5× 199 0.4× 110 3.6k
Laura Maggi Italy 39 4.3k 1.2× 517 0.2× 471 0.3× 1.3k 1.1× 869 2.0× 92 6.9k
Kazuya Shimoda Japan 40 2.9k 0.8× 567 0.2× 1.6k 1.1× 1.9k 1.6× 2.1k 4.8× 250 6.4k
Irma Gigli United States 40 3.1k 0.9× 597 0.2× 1.6k 1.1× 1.2k 1.0× 287 0.6× 131 5.9k
Patrick J Venables United Kingdom 47 1.7k 0.5× 3.5k 1.3× 349 0.2× 1.4k 1.2× 686 1.5× 131 7.1k

Countries citing papers authored by Paul Bowness

Since Specialization
Citations

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

Fields of papers citing papers by Paul Bowness

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Bowness

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Bowness. A scholar is included among the top collaborators of Paul Bowness 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 Paul Bowness. Paul Bowness 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.
Penkava, Frank, Stephen N. Sansom, & Paul Bowness. (2024). Pathogenic T-cell clones in axial spondyloarthritis: what is the evidence?. Lara D. Veeken. 63(Supplement_2). ii4–ii6. 1 indexed citations
3.
Yang, Xinbo, Lee Garner, Ivan V. Zvyagin, et al.. (2022). Autoimmunity-associated T cell receptors recognize HLA-B*27-bound peptides. Nature. 612(7941). 771–777. 85 indexed citations
4.
Al‐Mossawi, Hussein, Chris Worth, Patrícia Maria Abreu Machado, et al.. (2021). A first in disease phase 2A trial of granulocyte monocyte colony stimulating factor neutralisation for axial spondyloarthritis (NAMASTE study). Clinical and Experimental Rheumatology. 39(5). 1161–1161.
5.
Cribbs, Adam P., Martin Philpott, Jeroen Baardman, et al.. (2020). Histone H3K27me3 demethylases regulate human Th17 cell development and effector functions by impacting on metabolism. Proceedings of the National Academy of Sciences. 117(11). 6056–6066. 73 indexed citations
6.
Hammitzsch, Ariane, C. Tallant, O. Fedorov, et al.. (2015). CBP30, a selective CBP/p300 bromodomain inhibitor, suppresses human Th17 responses. Proceedings of the National Academy of Sciences. 112(34). 10768–10773. 195 indexed citations
7.
Bowness, Paul. (2014). HLA-B27, ANTIGEN PRESENTATION AND ERAP1. Clinical and Experimental Rheumatology. 32. 768–768. 1 indexed citations
8.
McHugh, Kirsty, et al.. (2014). WHAT HAVE WE LEARNED ABOUT NON-CLASSICAL FORMS OF HLA-B27 AND ITS ROLE IN THE PATHOGENESIS OF SPONDYLOARTHROPATHIES?. Clinical and Experimental Rheumatology. 32. 815–815. 1 indexed citations
9.
Al‐Mossawi, Hussein, et al.. (2013). CHARACTERIZING TYPE 17 IMMUNE RESPONSES IN ANKYLOSING SPONDYLITIS. Lara D. Veeken. 52. 28–29. 1 indexed citations
10.
Ridley, Anne J., C. Cohen, Tugce Karaderi, et al.. (2013). Increased IL-23 Receptor Expression Is Observed On KIR3DL2+CD4+T Cells In Ankylosing Spondylitis and Correlates With IL-23R Polymorphisms. Immunology. 140. 140–141. 1 indexed citations
11.
Fischer, Román, David C. Trudgian, Cynthia Wright, et al.. (2012). Discovery of candidate serum proteomic and metabolomic biomarkers in ankylosing spondylitis. QUT ePrints (Queensland University of Technology). 2 indexed citations
12.
Bowness, Paul. (2012). OVERVIEW OF ANKYLOSING SPONDYLITIS GENETICS AND PATHOGENESIS. Lara D. Veeken. 51. 18–18. 3 indexed citations
13.
McHugh, Kirsty, et al.. (2010). Factors determining the cell surface expression of a novel HLA-B27 epitope. Immunology. 131. 110–110. 1 indexed citations
14.
Chan, Antoni, Simon Kollnberger, Lucy R. Wedderburn, & Paul Bowness. (2005). Expansion and increased survival of natural killer and CD4 T cells expressing the Killer IG-like Receptor KIR3DL2 in spondyloarthritis.. UCL Discovery (University College London). 52. 1 indexed citations
15.
Sun, Meiyi, et al.. (2004). Fully Functional HLA B27-Restricted CD4+ as well as CD8+ T Cell Responses in TCR Transgenic Mice. The Journal of Immunology. 172(1). 155–161. 21 indexed citations
16.
Kollnberger, Simon, Cécile Hacquard‐Bouder, Hiromi Kubagawa, et al.. (2004). HLA-B27 Heavy Chain Homodimers Are Expressed in HLA-B27 Transgenic Rodent Models of Spondyloarthritis and Are Ligands for Paired Ig-Like Receptors. The Journal of Immunology. 173(3). 1699–1710. 103 indexed citations
17.
McNally, E, et al.. (2003). MRI CHANGES IN THE CERVICAL SPINE IN PATIENTS WITH ANKYLOSING SPONDYLITIS. Lara D. Veeken. 42. 60–60. 5 indexed citations
18.
Kuon, Wolfgang, Hermann−Georg Holzhütter, Heiner Appel, et al.. (2001). Identification of HLA-B27-Restricted Peptides from the Chlamydia trachomatis Proteome with Possible Relevance to HLA-B27-Associated Diseases. The Journal of Immunology. 167(8). 4738–4746. 97 indexed citations
19.
Bowness, Paul, et al.. (1992). T-CELL RECEPTOR USAGE OF SYNOVIAL LYMPHOCYTES FROM A PATIENT WITH REACTIVE ARTHRITIS. Lara D. Veeken. 31. 40–40. 1 indexed citations
20.
Bowness, Paul. (1985). Operation drawings of Dame Barbara Hepworth.. BMJ. 291(6511). 1788–1789. 1 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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