J J Pointon

826 total citations
10 papers, 199 citations indexed

About

J J Pointon is a scholar working on Rheumatology, Immunology and Genetics. According to data from OpenAlex, J J Pointon has authored 10 papers receiving a total of 199 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Rheumatology, 4 papers in Immunology and 2 papers in Genetics. Recurrent topics in J J Pointon's work include Spondyloarthritis Studies and Treatments (7 papers), Rheumatoid Arthritis Research and Therapies (3 papers) and Immune Cell Function and Interaction (3 papers). J J Pointon is often cited by papers focused on Spondyloarthritis Studies and Treatments (7 papers), Rheumatoid Arthritis Research and Therapies (3 papers) and Immune Cell Function and Interaction (3 papers). J J Pointon collaborates with scholars based in United Kingdom, Australia and United States. J J Pointon's co-authors include C. Farrar, Matthew A. Brown, B P Wordsworth, David Harvey, Louise Appleton, Tugce Karaderi, Millicent Stone, R D Sturrock, B P Wordsworth and David Senitzer and has published in prestigious journals such as Annals of the Rheumatic Diseases, Lara D. Veeken and Clinical and Experimental Rheumatology.

In The Last Decade

J J Pointon

10 papers receiving 197 citations

Peers

Countries citing papers authored by J J Pointon

Since Specialization

Citations

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

Fields of papers citing papers by J J Pointon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J J Pointon

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

All Works

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10 of 10 papers shown

#	Work	Indexed citations
1	Evidence of genetic association between TNFRSF1A encoding the p55 tumour necrosis factor receptor, and ankylosing spondylitis in UK Caucasians. 2012 ·PubMed ·Tugce Karaderi, J J Pointon, (unknown), Danielle Harvey, Louise Appleton, C. Cohen, C. Farrar, (unknown), Matthew A. Brown, B P Wordsworth	15
2	Candidate Genes for Ankylosing Spondylitis 2009 ·Lara D. Veeken ·J J Pointon, Tugce Karaderi, Louise Appleton, David Harvey, C. Farrar, Matthew A. Brown, B P Wordsworth, (unknown)	2
3	Association between the interleukin 23 receptor and ankylosing spondylitis is confirmed by a new UK case-control study and meta-analysis of published series 2009 ·Lara D. Veeken ·Tugce Karaderi, David Harvey, C. Farrar, Louise Appleton, Millicent Stone, R D Sturrock, Matthew A. Brown, B P Wordsworth, J J Pointon	81
4	Genomewide association study in Ankylosing spondylitis identifies major Non-MHC genetic determinants of disease susceptibility 2008 ·Clinical and Experimental Rheumatology ·John D. Reveille, (unknown), Walter P. Maksymowych, Michael M. Ward, Millicent Stone, (unknown), Michael H. Weisman, Robert D. Inman, Dafna D. Gladman, (unknown), Thomas J. Learch, Laurie Savage, Laura Diekman, Patrick Danoy, J J Pointon, Xiaofeng Zhou, David M. Evans, B. P. Wordsworth, Matthew A. Brown	2
5	Fine mapping of the MHC Class III region demonstrates association of AIF1 and rheumatoid arthritis 2008 ·Lara D. Veeken ·(unknown), Carles Vilariño‐Güell, Iannis E. Adamopoulos, (unknown), Robert Lawrence, (unknown), Julia L. Newton, Christian Meisel, J J Pointon, C. Darke, N A Athanasou, B P Wordsworth, Matthew A. Brown	35
6	Analysis of killer immunoglobulin-like receptor genes in ankylosing spondylitis 2008 ·Annals of the Rheumatic Diseases ·David Harvey, J J Pointon, C. Sleator, A. Meenagh, C. Farrar, Ji Sun, David Senitzer, Derek Middleton, Matthew A. Brown, B P Wordsworth	38
7	Il-23r is a major determinant of ankylosing spondylitis risk - The tasc study 2007 ·Annals of the Rheumatic Diseases ·John D. Reveille, (unknown), L Bradbury, (unknown), John C. Davis, Panos Deloukas, David M. Evans, Andrew Keniry, Ralph McGinnis, J J Pointon, (unknown), M H Weisman, P Wordsworth, Matthew A. Brown	7
8	Analysis of positional candidate genes in ankylosing spondylitis: A possible role for ENPP1 2006 ·Lara D. Veeken ·J J Pointon, Andrew E. Timms, L Bradbury, Matthew A. Brown, P Wordsworth	1
9	MHC2TA promoter polymorphism (-168G/A, rs3087456) is not associated with susceptibility to rheumatoid arthritis in British Caucasian rheumatoid arthritis patients 2006 ·Lara D. Veeken* ·Pille Harrison, J J Pointon, C. Farrar, (unknown), B P Wordsworth	16
10	Fine-mapping of the IL-1 gene cluster pinpoints genetic associations with ankylosing spondylitis. 2005 ·Queensland's institutional digital repository (The University of Queensland) ·(unknown), Andrew E. Timms, J J Pointon, L Bradbury, B P Wordsworth, Matthew A. Brown	2

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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