Anthony Rowe

4.4k total citations
38 papers, 1.1k citations indexed

About

Anthony Rowe is a scholar working on Physiology, Molecular Biology and Immunology. According to data from OpenAlex, Anthony Rowe has authored 38 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Physiology, 10 papers in Molecular Biology and 10 papers in Immunology. Recurrent topics in Anthony Rowe's work include Asthma and respiratory diseases (11 papers), IL-33, ST2, and ILC Pathways (7 papers) and Scientific Computing and Data Management (6 papers). Anthony Rowe is often cited by papers focused on Asthma and respiratory diseases (11 papers), IL-33, ST2, and ILC Pathways (7 papers) and Scientific Computing and Data Management (6 papers). Anthony Rowe collaborates with scholars based in United Kingdom, United States and Netherlands. Anthony Rowe's co-authors include Yike Guo, Anne M. Farrell, Clareann H. Bunker, Moustafa Ghanem, Kian Fan Chung, Ian M. Adcock, Ratko Djukanović, Peter J. Sterk, Charles Auffray and Ana R. Sousa and has published in prestigious journals such as Bioinformatics, American Journal of Respiratory and Critical Care Medicine and CHEST Journal.

In The Last Decade

Anthony Rowe

35 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
Anthony Rowe United Kingdom 15 510 325 252 195 136 38 1.1k
Mike Berry United Kingdom 12 1.3k 2.6× 553 1.7× 837 3.3× 135 0.7× 21 0.2× 15 1.8k
Alexander A. Morgan United States 28 179 0.4× 214 0.7× 96 0.4× 1.5k 7.5× 16 0.1× 44 2.3k
Aris Floratos United States 15 116 0.2× 220 0.7× 65 0.3× 1.1k 5.5× 53 0.4× 26 2.5k
Changhui Yu China 16 181 0.4× 186 0.6× 214 0.8× 431 2.2× 8 0.1× 54 1.1k
Hannah Tipney United States 12 79 0.2× 114 0.4× 47 0.2× 733 3.8× 41 0.3× 20 1.3k
Stephen Piccolo United States 20 37 0.1× 58 0.2× 152 0.6× 757 3.9× 28 0.2× 67 1.2k
Daisuke Ichikawa Japan 20 164 0.3× 64 0.2× 219 0.9× 417 2.1× 130 1.0× 113 1.4k
Frank Pétavy Netherlands 19 153 0.3× 66 0.2× 231 0.9× 234 1.2× 4 0.0× 33 1.1k
Johann M. Kraus Germany 21 233 0.5× 97 0.3× 86 0.3× 734 3.8× 15 0.1× 55 1.5k
Ioan C. Cucoranu United States 8 215 0.4× 204 0.6× 119 0.5× 382 2.0× 3 0.0× 12 925

Countries citing papers authored by Anthony Rowe

Since Specialization
Citations

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

Fields of papers citing papers by Anthony Rowe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anthony Rowe

This figure shows the co-authorship network connecting the top 25 collaborators of Anthony Rowe. A scholar is included among the top collaborators of Anthony Rowe 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 Anthony Rowe. Anthony Rowe 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.
Finney, Lydia, Dexter Wiseman, Anthony Rowe, et al.. (2023). Using an electronic diary and wristband accelerometer to detect exacerbations and activity levels in COPD: a feasibility study. ERJ Open Research. 9(6). 366–2023. 1 indexed citations
2.
Faiz, Alen, Stelios Pavlidis, Chih‐Hsi S. Kuo, et al.. (2022). Th2 high and mast cell gene signatures are associated with corticosteroid sensitivity in COPD. Thorax. 78(4). 335–343. 16 indexed citations
3.
Pavlidis, Stelios, Calixte S. Monast, Matthew J. Loza, et al.. (2019). I_MDS: an inflammatory bowel disease molecular activity score to classify patients with differing disease-driving pathways and therapeutic response to anti-TNF treatment. PLoS Computational Biology. 15(4). e1006951–e1006951. 16 indexed citations
4.
Gu, Wei, Venkata Satagopam, Adriano Barbosa-Silva, et al.. (2019). Data and knowledge management in translational research: implementation of the eTRIKS platform for the IMI OncoTrack consortium. BMC Bioinformatics. 20(1). 164–164. 5 indexed citations
5.
Riley, John, Veit J. Erpenbeck, John G. Matthews, et al.. (2018). U-BIOPRED: evaluation of the value of a public–private partnership to industry. Drug Discovery Today. 23(9). 1622–1634. 11 indexed citations
6.
Rowe, Anthony, et al.. (2018). Continuing clozapine treatment after a diagnosis of cardiomyopathy. Irish Journal of Psychological Medicine. 38(3). 227–231. 2 indexed citations
7.
Bigler, Jeannette, Michael Boedigheimer, James Schofield, et al.. (2017). A Severe Asthma Disease Signature from Gene Expression Profiling of Peripheral Blood from U-BIOPRED Cohorts. American Journal of Respiratory and Critical Care Medicine. 195(10). 1311–1320. 119 indexed citations
8.
Kuo, Chih‐Hsi S., Stelios Pavlidis, Matthew J. Loza, et al.. (2017). T-helper cell type 2 (Th2) and non-Th2 molecular phenotypes of asthma using sputum transcriptomics in U-BIOPRED. European Respiratory Journal. 49(2). 1602135–1602135. 251 indexed citations
9.
Loza, Matthew J., Stelios Pavlidis, Anthony Rowe, et al.. (2015). Systemic corticosteroid-associated serum analyte profiles in the U-BIOPRED severe asthma cohort. OA1774–OA1774. 1 indexed citations
10.
Bigler, Jeannette, Xuguang Hu, Michael Boedigheimer, et al.. (2014). Whole transcriptome analysis in peripheral blood from asthmatic and healthy subjects in the U-BIOPRED study. European Respiratory Journal. 44(Suppl 58). P2027–P2027.
11.
Burska, Agata, Lee Hazelwood, C L Verweij, et al.. (2014). Gene expression analysis in RA: towards personalized medicine. The Pharmacogenomics Journal. 14(2). 93–106. 54 indexed citations
12.
Gibeon, David, Michelle Osmond, Liam G. Heaney, et al.. (2013). Obesity-Associated Severe Asthma Represents a Distinct Clinical Phenotype. CHEST Journal. 143(2). 406–414. 102 indexed citations
13.
Fearfield, Louise, James Larkin, Anthony Rowe, et al.. (2006). Expression of p16, CD95, CD95L and Helix pomatia agglutinin in relapsing and nonrelapsing very thin melanoma. British Journal of Dermatology. 156(3). 440–447. 8 indexed citations
14.
Rowe, Anthony, Dimitrios Rafail Kalaitzopoulos, Michelle Osmond, Moustafa Ghanem, & Yike Guo. (2003). The discovery net system for high throughput bioinformatics. Bioinformatics. 19(suppl_1). i225–i231. 58 indexed citations
15.
Ghanem, Moustafa, et al.. (2003). The Design of Discovery Net: Towards Open Grid Services for Knowledge Discovery. The International Journal of High Performance Computing Applications. 17(3). 297–315. 42 indexed citations
16.
Rowe, Anthony, et al.. (2003). InfoGrid: providing information integration for knowledge discovery. Information Sciences. 155(3-4). 199–226. 23 indexed citations
17.
Ćurčin, Vasa, et al.. (2002). Discovery net. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 658–663. 46 indexed citations
18.
Rowe, Anthony, et al.. (1997). Constitutive endothelial and inducible nitric oxide synthase in inflammatory dermatoses. British Journal of Dermatology. 136(1). 18–23. 49 indexed citations
19.
Rowe, Anthony, et al.. (1995). The chicken retinoid-X-receptor-? (RXR-?) gene and its expression in the developing limb. Development Genes and Evolution. 204(4). 244–249. 13 indexed citations
20.
Rowe, Anthony & P M Brickell. (1993). The nuclear retinoid receptors.. PubMed. 74(2). 117–26. 12 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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