Rowan Higgs

2.2k total citations
29 papers, 1.7k citations indexed

About

Rowan Higgs is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Rowan Higgs has authored 29 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 8 papers in Molecular Biology and 6 papers in Oncology. Recurrent topics in Rowan Higgs's work include interferon and immune responses (6 papers), Immune Response and Inflammation (6 papers) and Antimicrobial Peptides and Activities (5 papers). Rowan Higgs is often cited by papers focused on interferon and immune responses (6 papers), Immune Response and Inflammation (6 papers) and Antimicrobial Peptides and Activities (5 papers). Rowan Higgs collaborates with scholars based in Ireland, Sweden and United States. Rowan Higgs's co-authors include Caroline A. Jefferies, Joan Ní Gabhann, Andrew T. Lloyd, Cliona O’Farrelly, Nadia Ben Larbi, Tharappel C. James, David J. Lynn, Claire Wynne, Katherine A. Fitzgerald and Eamon P. Breen and has published in prestigious journals such as The Journal of Experimental Medicine, Nature reviews. Immunology and The Journal of Immunology.

In The Last Decade

Rowan Higgs

27 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rowan Higgs Ireland 15 1.2k 610 340 186 177 29 1.7k
Jihong Dai China 24 1.4k 1.2× 394 0.6× 113 0.3× 111 0.6× 209 1.2× 59 2.2k
Louis Shamel United States 10 2.2k 1.9× 644 1.1× 280 0.8× 35 0.2× 150 0.8× 13 2.9k
Kenji Funami Japan 27 2.7k 2.3× 891 1.5× 266 0.8× 100 0.5× 272 1.5× 46 3.6k
Laurie Love-Homan United States 16 1.2k 1.0× 487 0.8× 128 0.4× 37 0.2× 172 1.0× 23 1.9k
Mei Gong United States 14 2.0k 1.7× 897 1.5× 111 0.3× 35 0.2× 327 1.8× 16 2.6k
Elizabeth E. M. Bates France 24 2.1k 1.8× 727 1.2× 145 0.4× 39 0.2× 329 1.9× 28 2.9k
Enza Piccolella Italy 28 1.3k 1.1× 446 0.7× 80 0.2× 40 0.2× 211 1.2× 77 2.1k
Olga M. Ibañez Brazil 20 497 0.4× 410 0.7× 58 0.2× 65 0.3× 115 0.6× 82 1.3k
Sarah E. Ewald United States 14 1.3k 1.1× 692 1.1× 107 0.3× 34 0.2× 99 0.6× 33 2.0k

Countries citing papers authored by Rowan Higgs

Since Specialization
Citations

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

Fields of papers citing papers by Rowan Higgs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rowan Higgs

This figure shows the co-authorship network connecting the top 25 collaborators of Rowan Higgs. A scholar is included among the top collaborators of Rowan Higgs 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 Rowan Higgs. Rowan Higgs 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.
Wynne, Claire, Elisa Lazzari, Siobhán Smith, et al.. (2014). TRIM68 Negatively Regulates IFN-β Production by Degrading TRK Fused Gene, a Novel Driver of IFN-β Downstream of Anti-Viral Detection Systems. PLoS ONE. 9(7). e101503–e101503. 17 indexed citations
2.
3.
Jefferies, Caroline A., Claire Wynne, & Rowan Higgs. (2011). Antiviral TRIMs: friend or foe in autoimmune and autoinflammatory disease?. Nature reviews. Immunology. 11(9). 617–625. 79 indexed citations
4.
Smith, Siobhán, Joan Ní Gabhann, Rowan Higgs, et al.. (2011). Enhanced interferon regulatory factor 3 binding to the interleukin‐23p19 promoter correlates with enhanced interleukin‐23 expression in systemic lupus erythematosus. Arthritis & Rheumatism. 64(5). 1601–1609. 32 indexed citations
5.
Higgs, Rowan. (2011). Ozone pollution—a link with cardiac and cerebral ischemic events?. Nature Reviews Cardiology. 8(2). 66–66. 1 indexed citations
6.
Gabhann, Joan Ní, Rowan Higgs, Kiva Brennan, et al.. (2010). Absence of SHIP-1 Results in Constitutive Phosphorylation of Tank-Binding Kinase 1 and Enhanced TLR3-Dependent IFN-β Production. The Journal of Immunology. 184(5). 2314–2320. 72 indexed citations
7.
Higgs, Rowan. (2010). Concentrated efforts to detect early OA. Nature Reviews Rheumatology. 6(11). 616–616. 8 indexed citations
8.
Higgs, Rowan, Elisa Lazzari, Claire Wynne, et al.. (2010). Self Protection from Anti-Viral Responses – Ro52 Promotes Degradation of the Transcription Factor IRF7 Downstream of the Viral Toll-Like Receptors. PLoS ONE. 5(7). e11776–e11776. 114 indexed citations
9.
Higgs, Rowan. (2010). PTPRC mutation associated with response to anti-TNF therapy in rheumatoid arthritis. Nature Reviews Rheumatology. 6(6). 311–311. 5 indexed citations
10.
Higgs, Rowan. (2010). Synergistic effects of growth factors drive an RA phenotype in fibroblast-like synoviocytes. Nature Reviews Rheumatology. 6(7). 383–383. 6 indexed citations
11.
Higgs, Rowan. (2010). Neutral lipid accumulation in PBMCs—a biomarker for AD?. Nature Reviews Neurology. 6(1). 6–6. 1 indexed citations
12.
Higgs, Rowan. (2010). HIF-2α drives osteoarthritis development. Nature Reviews Rheumatology. 6(8). 435–435. 1 indexed citations
13.
Higgs, Rowan. (2010). Reduced mitochondrial dysfunction delays liver fibrosis. Nature Reviews Gastroenterology & Hepatology. 7(1). 6–6. 1 indexed citations
14.
Espinosa, Alexander, Valérie Dardalhon, Susanna Brauner, et al.. (2009). Loss of the lupus autoantigen Ro52/Trim21 induces tissue inflammation and systemic autoimmunity by disregulating the IL-23–Th17 pathway. The Journal of Experimental Medicine. 206(8). 1661–1671. 232 indexed citations
15.
Meade, Kieran G., et al.. (2008). Differential antimicrobial peptide gene expression patterns during early chicken embryological development. Developmental & Comparative Immunology. 33(4). 516–524. 71 indexed citations
16.
Higgs, Rowan & Caroline A. Jefferies. (2008). Targeting IRFs by ubiquitination: regulating antiviral responses. Biochemical Society Transactions. 36(3). 453–458. 18 indexed citations
17.
Higgs, Rowan, Joan Ní Gabhann, Nadia Ben Larbi, et al.. (2008). The E3 Ubiquitin Ligase Ro52 Negatively Regulates IFN-β Production Post-Pathogen Recognition by Polyubiquitin-Mediated Degradation of IRF3. The Journal of Immunology. 181(3). 1780–1786. 258 indexed citations
18.
Higgs, Rowan, et al.. (2007). Modification of chicken avian β-defensin-8 at positively selected amino acid sites enhances specific antimicrobial activity. Immunogenetics. 59(7). 573–580. 34 indexed citations
19.
Higgs, Rowan, David J. Lynn, Joanna Tierney, et al.. (2005). The synthetic form of a novel chicken ?-defensin identified in silico is predominantly active against intestinal pathogens. Immunogenetics. 57(1-2). 90–98. 62 indexed citations
20.
Lynn, David J., Rowan Higgs, Joanna Tierney, et al.. (2004). Bioinformatic discovery and initial characterisation of nine novel antimicrobial peptide genes in the chicken. Immunogenetics. 56(3). 170–177. 185 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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