Phillip Monk

2.5k total citations · 1 hit paper
25 papers, 1.4k citations indexed

About

Phillip Monk is a scholar working on Physiology, Pulmonary and Respiratory Medicine and Immunology. According to data from OpenAlex, Phillip Monk has authored 25 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Physiology, 8 papers in Pulmonary and Respiratory Medicine and 8 papers in Immunology. Recurrent topics in Phillip Monk's work include Asthma and respiratory diseases (13 papers), Respiratory viral infections research (7 papers) and Respiratory and Cough-Related Research (4 papers). Phillip Monk is often cited by papers focused on Asthma and respiratory diseases (13 papers), Respiratory viral infections research (7 papers) and Respiratory and Cough-Related Research (4 papers). Phillip Monk collaborates with scholars based in United Kingdom, United States and Australia. Phillip Monk's co-authors include Stephen T. Holgate, Donna E. Davies, Ratko Djukanović, Christopher E. Brightling, Peter Bradding, Angela Morgan, Mike Berry, Peter Howarth, Ian Pavord and Andrew J. Wardlaw and has published in prestigious journals such as American Journal of Respiratory and Critical Care Medicine, Journal of Allergy and Clinical Immunology and Journal of Neurochemistry.

In The Last Decade

Phillip Monk

25 papers receiving 1.4k citations

Hit Papers

Defective epithelial barrier function in asthma 2011 2026 2016 2021 2011 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Phillip Monk United Kingdom 12 823 526 492 260 259 25 1.4k
Davinder Kaur United Kingdom 20 1.0k 1.2× 857 1.6× 438 0.9× 323 1.2× 204 0.8× 35 1.6k
C Lamblin France 18 765 0.9× 271 0.5× 587 1.2× 321 1.2× 234 0.9× 42 1.4k
Hans Michael Haitchi United Kingdom 24 979 1.2× 436 0.8× 879 1.8× 257 1.0× 247 1.0× 65 2.0k
Rajeev Venkayya United States 5 1.5k 1.8× 1.1k 2.1× 517 1.1× 503 1.9× 213 0.8× 5 2.0k
Dana Colbert United States 14 1.1k 1.3× 878 1.7× 285 0.6× 261 1.0× 488 1.9× 19 1.7k
Eleanor M. Minshall Canada 14 1.3k 1.6× 685 1.3× 678 1.4× 539 2.1× 213 0.8× 15 1.8k
Hideaki Kouzaki Japan 19 765 0.9× 650 1.2× 180 0.4× 451 1.7× 408 1.6× 52 1.5k
Q. Meng United Kingdom 20 1.5k 1.8× 966 1.8× 503 1.0× 681 2.6× 226 0.9× 27 2.1k
Ulrich M. Zissler Germany 19 565 0.7× 364 0.7× 357 0.7× 269 1.0× 89 0.3× 41 1.1k
Cydney Rios United States 14 404 0.5× 355 0.7× 312 0.6× 245 0.9× 170 0.7× 23 1.1k

Countries citing papers authored by Phillip Monk

Since Specialization
Citations

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

Fields of papers citing papers by Phillip Monk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Phillip Monk

This figure shows the co-authorship network connecting the top 25 collaborators of Phillip Monk. A scholar is included among the top collaborators of Phillip Monk 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 Phillip Monk. Phillip Monk 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.
Monk, Phillip, J. Brookes, Victoria Tear, et al.. (2024). Nebulised interferon beta-1a (SNG001) in the treatment of viral exacerbations of COPD. Respiratory Research. 25(1). 228–228. 5 indexed citations
2.
Monk, Phillip, J. Brookes, Victoria Tear, et al.. (2022). Nebulised interferon-β1a (SNG001) in hospitalised COVID-19: SPRINTER phase III study. ERJ Open Research. 9(2). 605–2022. 11 indexed citations
4.
McCrae, Christopher, Marita Olsson, Per Gustafson, et al.. (2020). INEXAS: A Phase 2 Randomized Trial of On‐demand Inhaled Interferon Beta‐1a in Severe Asthmatics. Clinical & Experimental Allergy. 51(2). 273–283. 19 indexed citations
6.
Tear, Victoria, James S. Murphy, Chiko Shimbori, et al.. (2017). Evaluation of novel LOXL2-selective inhibitors in models of pulmonary fibrosis. PA3476–PA3476. 2 indexed citations
8.
Djukanović, Ratko, Tim Harrison, Sebastian L. Johnston, et al.. (2014). The Effect of Inhaled IFN-β on Worsening of Asthma Symptoms Caused by Viral Infections. A Randomized Trial. American Journal of Respiratory and Critical Care Medicine. 190(2). 145–154. 198 indexed citations
9.
Blume, Cornelia, Emily J. Swindle, Patrick Dennison, et al.. (2012). Barrier responses of human bronchial epithelial cells to grass pollen exposure. European Respiratory Journal. 42(1). 87–97. 55 indexed citations
10.
Cohen, E. Suzanne, Meina Liang, Inna Vainshtein, et al.. (2012). Protein engineering and preclinical development of a GMCSF receptor antibody for the treatment of rheumatoid arthritis. British Journal of Pharmacology. 168(1). 200–211. 22 indexed citations
11.
Staples, Karl J., Caroline Smith, Jonathan Ward, et al.. (2012). S114 Adaptive and Innate-Like T Cell Phenotypes in Asthma in Relationship to Compartment and Severity. Thorax. 67(Suppl 2). A55.3–A56. 1 indexed citations
12.
Chang, Xiao, Sarah M. Puddicombe, Joel Haywood, et al.. (2011). Defective epithelial barrier function in asthma. Journal of Allergy and Clinical Immunology. 128(3). 549–556.e12. 479 indexed citations breakdown →
13.
Haywood, Joel, Victoria J. Broughton-Head, Nicole Bedke, et al.. (2011). Defective Epithelial Barrier Function In Asthma. A6367–A6367. 18 indexed citations
14.
Cohen, E. Suzanne, Karin von Wachenfeldt, Isabelle de Mendez, et al.. (2009). In Vitro Properties of MEDI-4212, a Human Anti-IgE Antibody for the Treatment of Allergic Asthma.. A5726–A5726. 3 indexed citations
15.
Berry, Mike, Salman Siddiqui, Angela Morgan, et al.. (2008). Increased sputum and bronchial biopsy IL-13 expression in severe asthma. Journal of Allergy and Clinical Immunology. 121(3). 685–691. 201 indexed citations
16.
Francis, Karl, et al.. (2006). Complement C5a inhibits the secretion of macrophage migration inhibitory factor (MIF) in anterior pituitary cell lines. 11. 1 indexed citations
17.
Kaur, Davinder, Fay Hollins, Lucy Woodman, et al.. (2006). Mast cells express IL‐13Rα1: IL‐13 promotes human lung mast cell proliferation and FcɛRI expression. Allergy. 61(9). 1047–1053. 72 indexed citations
18.
Blanchard, Carine, et al.. (2005). Inhibition of human interleukin‐13‐induced respiratory and oesophageal inflammation by anti‐human‐interleukin‐13 antibody (CAT‐354). Clinical & Experimental Allergy. 35(8). 1096–1103. 137 indexed citations
19.
Berry, Mike, Natalie Neale, Lucy Woodman, et al.. (2004). Sputum and bronchial submucosal IL-13 expression in asthma and eosinophilic bronchitis. Journal of Allergy and Clinical Immunology. 114(5). 1106–1109. 131 indexed citations
20.
Monk, Phillip, Alan Carne, Shuhua Liu, et al.. (1996). Isolation, Cloning, and Characterisation of a trp Homologue from Squid (Loligo forbesi) Photoreceptor Membranes. Journal of Neurochemistry. 67(6). 2227–2235. 20 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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