C. Cohen

1.4k total citations
29 papers, 1.1k citations indexed

About

C. Cohen is a scholar working on Rheumatology, Immunology and Molecular Biology. According to data from OpenAlex, C. Cohen has authored 29 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Rheumatology, 12 papers in Immunology and 9 papers in Molecular Biology. Recurrent topics in C. Cohen's work include Spondyloarthritis Studies and Treatments (14 papers), Psoriasis: Treatment and Pathogenesis (5 papers) and Rheumatoid Arthritis Research and Therapies (5 papers). C. Cohen is often cited by papers focused on Spondyloarthritis Studies and Treatments (14 papers), Psoriasis: Treatment and Pathogenesis (5 papers) and Rheumatoid Arthritis Research and Therapies (5 papers). C. Cohen collaborates with scholars based in United Kingdom, Canada and Australia. C. Cohen's co-authors include Dixie L. Mager, J. P. Fillers, G.N. Phillips, Mark T. Romanish, Matteo Vecellio, Megan K. Levings, Sarah Q. Crome, Julian C. Knight, Adrián Cortés and Terence F. McDonald and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Immunology.

In The Last Decade

C. Cohen

26 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Cohen United Kingdom 13 639 259 234 214 147 29 1.1k
Chenguang Xu China 15 514 0.8× 89 0.3× 1.1k 4.6× 171 0.8× 103 0.7× 36 1.9k
Andrew Kim United States 8 846 1.3× 82 0.3× 317 1.4× 21 0.1× 69 0.5× 9 1.3k
Ronald Jubin United States 15 718 1.1× 520 2.0× 295 1.3× 52 0.2× 90 0.6× 26 1.4k
Junfeng Zheng China 14 562 0.9× 56 0.2× 214 0.9× 50 0.2× 108 0.7× 27 1.2k
Deborah Hopkins United States 9 334 0.5× 69 0.3× 289 1.2× 22 0.1× 138 0.9× 10 1.0k
Keizaburo Miki Japan 21 353 0.6× 31 0.1× 203 0.9× 52 0.2× 113 0.8× 29 1.3k
Monique Érard France 21 942 1.5× 32 0.1× 692 3.0× 196 0.9× 25 0.2× 38 1.7k
J M Greve United States 11 293 0.5× 364 1.4× 168 0.7× 45 0.2× 20 0.1× 12 924
Jean-Philippe Kleman France 17 942 1.5× 24 0.1× 180 0.8× 140 0.7× 69 0.5× 37 1.6k
Tamiko Nakajima Japan 18 623 1.0× 58 0.2× 192 0.8× 33 0.2× 36 0.2× 63 1.0k

Countries citing papers authored by C. Cohen

Since Specialization
Citations

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

Fields of papers citing papers by C. Cohen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Cohen

This figure shows the co-authorship network connecting the top 25 collaborators of C. Cohen. A scholar is included among the top collaborators of C. Cohen 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 C. Cohen. C. Cohen 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.
Baldwin, Mathew, C. Cohen, P A Hulley, et al.. (2025). Exploring cellular changes in ruptured human quadriceps tendons at single‐cell resolution. The Journal of Physiology. 603(16). 4535–4554. 2 indexed citations
2.
3.
Hulley, P A, C. Cohen, Stephen Gwilym, et al.. (2024). Single nucleus and spatial transcriptomic profiling of healthy human hamstring tendon. The FASEB Journal. 38(10). e23629–e23629. 10 indexed citations
4.
Wordsworth, B P, et al.. (2023). Chromosome conformation capture approaches to investigate 3D genome architecture in Ankylosing Spondylitis. Frontiers in Genetics. 14. 1129207–1129207.
5.
Tessier, Aude, et al.. (2023). Prenatal diagnosis of recurrent hypoplastic left heart syndrome associated with MYH6 variants: a case report. BMC Cardiovascular Disorders. 23(1). 116–116. 1 indexed citations
6.
Wordsworth, B. P., et al.. (2021). Perspectives on the Genetic Associations of Ankylosing Spondylitis. Frontiers in Immunology. 12. 603726–603726. 23 indexed citations
7.
Vecellio, Matteo, Liye Chen, C. Cohen, et al.. (2020). Functional Genomic Analysis of a RUNX3 Polymorphism Associated With Ankylosing Spondylitis. Arthritis & Rheumatology. 73(6). 980–990. 10 indexed citations
8.
Wordsworth, B P, C. Cohen, & Matteo Vecellio. (2018). Quantifying the genetic risk for the development of axial spondyloarthropathy: could this become a diagnostic tool?. Current Opinion in Rheumatology. 30(4). 319–323. 1 indexed citations
9.
10.
Vecellio, Matteo, et al.. (2017). Investigation of a possible extended risk haplotype in the IL23R region associated with ankylosing spondylitis. Genes and Immunity. 18(2). 105–108. 9 indexed citations
11.
Vecellio, Matteo, Liye Chen, Anna Ridley, et al.. (2016). An ankylosing spondylitis-associated genetic variant in the IL23R-IL12RB2 intergenic region modulates enhancer activity and is associated with increased Th1-cell differentiation. Annals of the Rheumatic Diseases. 75(12). 2150–2156. 45 indexed citations
12.
Vecellio, Matteo, C. Cohen, Adrián Cortés, et al.. (2015). The genetic association of RUNX3 with ankylosing spondylitis can be explained by allele-specific effects on IRF4 recruitment that alter gene expression. Annals of the Rheumatic Diseases. 75(8). 1534–1540. 35 indexed citations
13.
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
14.
Karaderi, Tugce, J. J. Pointon, David Harvey, et al.. (2012). Evidence of genetic association between TNFRSF1A encoding the p55 tumour necrosis factor receptor, and ankylosing spondylitis in UK Caucasians. QUT ePrints (Queensland University of Technology). 10 indexed citations
15.
Antignano, Frann, Scott J. Patterson, Victor W. Ho, et al.. (2011). SHIP-Deficient Dendritic Cells, Unlike Wild Type Dendritic Cells, Suppress T Cell Proliferation via a Nitric Oxide-Independent Mechanism. PLoS ONE. 6(7). e21893–e21893. 7 indexed citations
16.
Cohen, C., et al.. (2011). Human Th1 and Th17 Cells Exhibit Epigenetic Stability at Signature Cytokine and Transcription Factor Loci. The Journal of Immunology. 187(11). 5615–5626. 91 indexed citations
17.
Romanish, Mark T., C. Cohen, & Dixie L. Mager. (2010). Potential mechanisms of endogenous retroviral-mediated genomic instability in human cancer. Seminars in Cancer Biology. 20(4). 246–253. 82 indexed citations
18.
Cohen, C., et al.. (2009). Endogenous retroviral LTRs as promoters for human genes: A critical assessment. Gene. 448(2). 105–114. 232 indexed citations
19.
Cohen, C., Mario Forzan, Brian S. Sproat, et al.. (2008). An aptamer that neutralizes R5 strains of HIV-1 binds to core residues of gp120 in the CCR5 binding site. Virology. 381(1). 46–54. 44 indexed citations
20.
Castellani, Loriana, et al.. (1987). Phosphorylated peptides occur in a non-helical portion of the tail of a catch muscle myosin. Fed. Proc., Fed. Am. Soc. Exp. Biol.; (United States). 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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