J. North

1.2k total citations
9 papers, 835 citations indexed

About

J. North is a scholar working on Epidemiology, Rheumatology and Gastroenterology. According to data from OpenAlex, J. North has authored 9 papers receiving a total of 835 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 7 papers in Rheumatology and 3 papers in Gastroenterology. Recurrent topics in J. North's work include Inflammatory Myopathies and Dermatomyositis (8 papers), Eosinophilic Disorders and Syndromes (6 papers) and Celiac Disease Research and Management (3 papers). J. North is often cited by papers focused on Inflammatory Myopathies and Dermatomyositis (8 papers), Eosinophilic Disorders and Syndromes (6 papers) and Celiac Disease Research and Management (3 papers). J. North collaborates with scholars based in United Kingdom, Australia and India. J. North's co-authors include Harsha Gunawardena, Zoë Betteridge, Hector Chinoy, Robert G. Cooper, Neil McHugh, NJ McHugh, Lucy R. Wedderburn, Joyce Davidson, J. Englebert Dunphy and W E Ollier and has published in prestigious journals such as Annals of the Rheumatic Diseases, International Journal of Epidemiology and Lara D. Veeken.

In The Last Decade

J. North

9 papers receiving 805 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. North United Kingdom 7 736 490 194 180 142 9 835
Jean‐Luc Charuel France 13 742 1.0× 409 0.8× 217 1.1× 216 1.2× 147 1.0× 24 945
Kelly T. McNallan United States 7 363 0.5× 230 0.5× 79 0.4× 208 1.2× 61 0.4× 9 537
H. Ehrfeld Germany 7 309 0.4× 215 0.4× 162 0.8× 163 0.9× 58 0.4× 14 517
Brad A. Pauley United States 9 216 0.3× 274 0.6× 320 1.6× 202 1.1× 39 0.3× 11 857
Julie Wolfe United States 12 339 0.5× 263 0.5× 109 0.6× 242 1.3× 179 1.3× 15 953
Yongpeng Ge China 12 455 0.6× 249 0.5× 85 0.4× 126 0.7× 95 0.7× 45 537
Judith Stammen‐Vogelzangs Netherlands 10 282 0.4× 343 0.7× 202 1.0× 174 1.0× 39 0.3× 10 666
Alisa N. Femia United States 15 260 0.4× 282 0.6× 49 0.3× 90 0.5× 195 1.4× 61 650
Y Ohashi Japan 9 210 0.3× 101 0.2× 62 0.3× 206 1.1× 37 0.3× 13 463
Marie‐Louise Frémond France 17 131 0.2× 212 0.4× 236 1.2× 432 2.4× 26 0.2× 38 711

Countries citing papers authored by J. North

Since Specialization
Citations

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

Fields of papers citing papers by J. North

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of J. North. A scholar is included among the top collaborators of J. North 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. North. J. North 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.
Gunawardena, Harsha, Lucy R. Wedderburn, Hector Chinoy, et al.. (2009). Autoantibodies to a 140‐kd protein in juvenile dermatomyositis are associated with calcinosis. Arthritis & Rheumatism. 60(6). 1807–1814. 156 indexed citations
2.
Betteridge, Zoë, Harsha Gunawardena, Hector Chinoy, et al.. (2008). Clinical and human leucocyte antigen class II haplotype associations of autoantibodies to small ubiquitin-like modifier enzyme, a dermatomyositis-specific autoantigen target, in UK Caucasian adult-onset myositis. Annals of the Rheumatic Diseases. 68(10). 1621–1625. 137 indexed citations
3.
Gunawardena, Harsha, Lucy R. Wedderburn, Hector Chinoy, et al.. (2008). 8.4 Novel autoantibodies targeting a p140 protein are a major autoantigen system in juvenile dermatomyositis and a marker of calcinosis. Pediatric Rheumatology. 6(S1). 2 indexed citations
4.
Gunawardena, Harsha, Lucy R. Wedderburn, J. North, et al.. (2007). Clinical associations of autoantibodies to a p155/140 kDa doublet protein in juvenile dermatomyositis. Lara D. Veeken. 47(3). 324–328. 156 indexed citations
5.
Betteridge, Zoë, et al.. (2007). Identification of a novel autoantibody directed against small ubiquitin‐like modifier activating enzyme in dermatomyositis. Arthritis & Rheumatism. 56(9). 3132–3137. 107 indexed citations
7.
Wedderburn, Lucy R., N. McHugh, Hector Chinoy, et al.. (2007). HLA class II haplotype and autoantibody associations in children with juvenile dermatomyositis and juvenile dermatomyositis–scleroderma overlap. Lara D. Veeken. 46(12). 1786–1791. 80 indexed citations
8.
Gunawardena, Harsha, J. North, Lucy R. Wedderburn, et al.. (2007). Clinical associations of autoantibodies to a p155/140 KDA doublet in adult and juvenile dermatomyositis. UCL Discovery (University College London). 2 indexed citations
9.
Ryan, Philip, Susan F. Hurley, Alan M. Johnson, et al.. (1993). Tumours of the Brain and Presence of Antibodies to Toxoplasma gondii. International Journal of Epidemiology. 22(3). 412–419. 59 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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