Katy M. Roach

751 total citations
26 papers, 476 citations indexed

About

Katy M. Roach is a scholar working on Pulmonary and Respiratory Medicine, Immunology and Molecular Biology. According to data from OpenAlex, Katy M. Roach has authored 26 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Pulmonary and Respiratory Medicine, 8 papers in Immunology and 7 papers in Molecular Biology. Recurrent topics in Katy M. Roach's work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (14 papers), Ion channel regulation and function (5 papers) and Pulmonary Hypertension Research and Treatments (5 papers). Katy M. Roach is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (14 papers), Ion channel regulation and function (5 papers) and Pulmonary Hypertension Research and Treatments (5 papers). Katy M. Roach collaborates with scholars based in United Kingdom, United States and Australia. Katy M. Roach's co-authors include Peter Bradding, Yassine Amrani, Carol Feghali‐Bostwick, Heike Wulff, Christopher E. Brightling, Vijay Mistry, Camille Doe, Andrew J. Wardlaw, S. Mark Duffy and Salman Siddiqui and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and PLoS ONE.

In The Last Decade

Katy M. Roach

22 papers receiving 472 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Katy M. Roach United Kingdom 12 242 154 116 101 55 26 476
Kanako Furukawa Japan 12 230 1.0× 242 1.6× 82 0.7× 74 0.7× 113 2.1× 21 547
Stephan Klee Germany 8 399 1.6× 125 0.8× 164 1.4× 69 0.7× 68 1.2× 10 616
Byung‐Lae Park South Korea 13 122 0.5× 233 1.5× 129 1.1× 90 0.9× 45 0.8× 43 489
Issei Suzuki Japan 8 81 0.3× 60 0.4× 72 0.6× 69 0.7× 58 1.1× 50 298
Yuxiu Xia Australia 12 129 0.5× 120 0.8× 108 0.9× 83 0.8× 26 0.5× 16 344
Kentaro Machida Japan 12 131 0.5× 174 1.1× 164 1.4× 123 1.2× 95 1.7× 34 471
Miranda L. Curtiss United States 6 118 0.5× 183 1.2× 83 0.7× 149 1.5× 28 0.5× 10 361
Andor R. Kranenburg Netherlands 7 328 1.4× 146 0.9× 113 1.0× 44 0.4× 63 1.1× 7 465
Pritesh Jain United States 14 225 0.9× 79 0.5× 152 1.3× 21 0.2× 135 2.5× 26 507
Sandra S. Shasby United States 9 88 0.4× 83 0.5× 160 1.4× 126 1.2× 20 0.4× 13 391

Countries citing papers authored by Katy M. Roach

Since Specialization
Citations

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

Fields of papers citing papers by Katy M. Roach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katy M. Roach. 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 Katy M. Roach. The network helps show where Katy M. Roach may publish in the future.

Co-authorship network of co-authors of Katy M. Roach

This figure shows the co-authorship network connecting the top 25 collaborators of Katy M. Roach. A scholar is included among the top collaborators of Katy M. Roach 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 Katy M. Roach. Katy M. Roach 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.
Marshall, Hilary, Paulene A. Quinn, Leong L. Ng, et al.. (2025). TGFβ1 generates a pro-fibrotic proteome in human lung parenchyma that is sensitive to pharmacological intervention. European Journal of Pharmacology. 997. 177461–177461.
2.
Alzahrani, Abdulrahman, Michael Biddle, Latifa Khalfaoui, et al.. (2021). Human Lung Mast Cells Impair Corticosteroid Responsiveness in Human Airway Smooth Muscle Cells. SHILAP Revista de lepidopterología. 2. 785100–785100. 3 indexed citations
3.
Virk, Harvinder, Michael Biddle, Adam Wright, et al.. (2019). Validation of antibodies for the specific detection of human TRPA1. Scientific Reports. 9(1). 18500–18500. 23 indexed citations
4.
Clark, Katherine, Bibek Gooptu, Dawn T. Smallwood, et al.. (2019). Tensin1 expression and function in chronic obstructive pulmonary disease. Scientific Reports. 9(1). 18942–18942. 11 indexed citations
5.
6.
Virk, Harvinder, et al.. (2019). TRPA1 ion channel expression in human lung myofibroblasts. PA1288–PA1288. 2 indexed citations
7.
8.
Roach, Katy M., Amanda Sutcliffe, Laura Matthews, et al.. (2018). A model of human lung fibrogenesis for the assessment of anti-fibrotic strategies in idiopathic pulmonary fibrosis. Scientific Reports. 8(1). 342–342. 36 indexed citations
9.
Organ, Louise, Barbara Bacci, Wayne G. Kimpton, et al.. (2017). Inhibition of the KCa3.1 Channel Alleviates Established Pulmonary Fibrosis in a Large Animal Model. American Journal of Respiratory Cell and Molecular Biology. 56(4). 539–550. 28 indexed citations
10.
Wright, Adam, Chris Newby, Ruth Hartley, et al.. (2016). Myeloid-derived suppressor cell-like fibrocytes are increased and associated with preserved lung function in chronic obstructive pulmonary disease. Allergy. 72(4). 645–655. 13 indexed citations
11.
Arthur, Greer, S. Mark Duffy, Katy M. Roach, et al.. (2015). KCa3.1 K+ Channel Expression and Function in Human Bronchial Epithelial Cells. PLoS ONE. 10(12). e0145259–e0145259. 16 indexed citations
12.
Roach, Katy M., Carol Feghali‐Bostwick, Heike Wulff, Yassine Amrani, & Peter Bradding. (2015). Human lung myofibroblast TGFβ1-dependent Smad2/3 signalling is Ca2+-dependent and regulated by KCa3.1 K+ channels. PubMed. 8(1). 5–5. 40 indexed citations
13.
Roach, Katy M. & Peter Bradding. (2015). KCa3.1 channel inhibition prevents fibrotic responses in a human lung explant model. PA929–PA929. 1 indexed citations
14.
Roach, Katy M., Heike Wulff, Carol Feghali‐Bostwick, Yassine Amrani, & Peter Bradding. (2014). Increased constitutive αSMA and Smad2/3 expression in idiopathic pulmonary fibrosis myofibroblasts is KCa3.1-dependent. Respiratory Research. 15(1). 155–155. 40 indexed citations
15.
Roach, Katy M., S. Mark Duffy, William R. Coward, et al.. (2014). Correction: The K+Channel KCa3.1 as a Novel Target for Idiopathic Pulmonary Fibrosis. PLoS ONE. 9(1).
16.
Moiseeva, Elena P., Katy M. Roach, Mark L. Leyland, & Peter Bradding. (2013). CADM1 Is a Key Receptor Mediating Human Mast Cell Adhesion to Human Lung Fibroblasts and Airway Smooth Muscle Cells. PLoS ONE. 8(4). e61579–e61579. 34 indexed citations
17.
Roach, Katy M., S. Mark Duffy, William R. Coward, et al.. (2013). The K+ Channel KCa3.1 as a Novel Target for Idiopathic Pulmonary Fibrosis. PLoS ONE. 8(12). e85244–e85244. 44 indexed citations
18.
Roach, Katy M., William R. Coward, Carol Feghali‐Bostwick, S. Mark Duffy, & Peter Bradding. (2011). T5 The KCa3.1 K+ channel mediates wound healing in human myofibroblasts. Thorax. 66(Suppl 4). A2–A3.
19.
Moiseeva, Elena P., Katy M. Roach, Mark L. Leyland, & Peter Bradding. (2011). S34 The adhesion receptor CADM1 on mast cells mediates adhesion to lung fibroblasts and smooth muscle. Thorax. 66(Suppl 4). A18–A18. 1 indexed citations
20.
Siddiqui, Salman, Vijay Mistry, Camille Doe, et al.. (2008). Airway hyperresponsiveness is dissociated from airway wall structural remodeling. Journal of Allergy and Clinical Immunology. 122(2). 335–341.e3. 102 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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