Jonathan Plumb

4.2k total citations
65 papers, 3.3k citations indexed

About

Jonathan Plumb is a scholar working on Pulmonary and Respiratory Medicine, Physiology and Immunology. According to data from OpenAlex, Jonathan Plumb has authored 65 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Pulmonary and Respiratory Medicine, 19 papers in Physiology and 12 papers in Immunology. Recurrent topics in Jonathan Plumb's work include Asthma and respiratory diseases (17 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (12 papers) and Atrial Fibrillation Management and Outcomes (11 papers). Jonathan Plumb is often cited by papers focused on Asthma and respiratory diseases (17 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (12 papers) and Atrial Fibrillation Management and Outcomes (11 papers). Jonathan Plumb collaborates with scholars based in United Kingdom, United States and Germany. Jonathan Plumb's co-authors include Stephen McQuaid, Dave Singh, John M. Kirk, Andreas Clemens, Tjeerd van Staa, Arlene M. Gallagher, Efrosini Setakis, David Ray, Sonja Sorensen and Stephan Rietbrock and has published in prestigious journals such as PLoS ONE, The FASEB Journal and Endocrinology.

In The Last Decade

Jonathan Plumb

64 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Plumb United Kingdom 30 1.2k 642 574 574 503 65 3.3k
Hans‐Georg Eichler Austria 33 825 0.7× 260 0.4× 167 0.3× 611 1.1× 798 1.6× 82 3.6k
Bradford B. Worrall United States 32 442 0.4× 513 0.8× 179 0.3× 191 0.3× 579 1.2× 161 3.1k
Joëlle Bénessiano France 32 1.5k 1.2× 383 0.6× 123 0.2× 687 1.2× 999 2.0× 70 3.8k
Diederick E. Grobbee Netherlands 27 437 0.4× 381 0.6× 94 0.2× 659 1.1× 246 0.5× 40 3.1k
Karol Kamiński Poland 24 1.1k 0.9× 309 0.5× 52 0.1× 341 0.6× 948 1.9× 222 2.9k
Viviane Nicaud France 47 1.9k 1.6× 481 0.7× 283 0.5× 467 0.8× 1.3k 2.6× 111 5.7k
Katsuhiko Hiramori Japan 40 2.9k 2.4× 588 0.9× 109 0.2× 478 0.8× 753 1.5× 187 4.7k
Jeffrey Kroon Netherlands 31 833 0.7× 301 0.5× 73 0.1× 161 0.3× 685 1.4× 97 3.2k
Yuichiro Maekawa Japan 35 2.2k 1.8× 699 1.1× 119 0.2× 242 0.4× 700 1.4× 201 3.8k
Mark Sullivan United Kingdom 33 784 0.6× 923 1.4× 77 0.1× 253 0.4× 778 1.5× 112 3.1k

Countries citing papers authored by Jonathan Plumb

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Plumb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Plumb

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Plumb. A scholar is included among the top collaborators of Jonathan Plumb 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 Jonathan Plumb. Jonathan Plumb 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.
Lea, Simon, Li J, Jonathan Plumb, et al.. (2020). P38 MAPK and glucocorticoid receptor crosstalk in bronchial epithelial cells. Journal of Molecular Medicine. 98(3). 361–374. 24 indexed citations
2.
Ravi, Arjun, Jonathan Plumb, Sarah Mason, et al.. (2017). COPD monocytes demonstrate impaired migratory ability. Respiratory Research. 18(1). 90–90. 23 indexed citations
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Grundy, Seamus, Jonathan Plumb, Manminder Kaur, David Ray, & Dave Singh. (2016). Additive anti-inflammatory effects of corticosteroids and phosphodiesterase-4 inhibitors in COPD CD8 cells. Respiratory Research. 17(1). 9–9. 21 indexed citations
6.
Lea, Simon, Hannah Metcalfe, Jonathan Plumb, et al.. (2016). Neutral sphingomyelinase-2, acid sphingomyelinase, and ceramide levels in COPD patients compared to controls. International Journal of COPD. Volume 11. 2139–2147. 14 indexed citations
7.
Singh, Dave, Leonard Siew, Jared Christensen, et al.. (2015). Oral and inhaled p38 MAPK inhibitors: effects on inhaled LPS challenge in healthy subjects. European Journal of Clinical Pharmacology. 71(10). 1175–1184. 35 indexed citations
8.
Grundy, Seamus, Jonathan Plumb, Manminder Kaur, Simon Lea, & Dave Singh. (2014). Additive anti-inflammatory effect of glucocorticoids and PDE4 inhibitors on COPD CD8 cells. European Respiratory Journal. 44(Suppl 58). P1515–P1515. 1 indexed citations
9.
Cadden, Paul, et al.. (2014). Repeatability of induced sputum measurements in moderate to severe asthma. Respiratory Medicine. 108(10). 1566–1568. 8 indexed citations
10.
Higham, Andrew, Simon Lea, Jonathan Plumb, et al.. (2013). The role of the liver X receptor in chronic obstructive pulmonary disease. Respiratory Research. 14(1). 106–106. 29 indexed citations
11.
Kaur, Manminder, Lucy J.C. Smyth, Paul Cadden, et al.. (2012). T lymphocyte insensitivity to corticosteroids in chronic obstructive pulmonary disease. Respiratory Research. 13(1). 20–20. 31 indexed citations
12.
Lip, Gregory Y.H., et al.. (2010). Treatments for stroke prevention in atrial fibrillation: A network meta-analysis and indirect comparisons versus dabigatran etexilate. Thrombosis and Haemostasis. 104(12). 1106–1115. 95 indexed citations
13.
Eustace, Amanda, Lucy J.C. Smyth, Lorna H. Mitchell, et al.. (2010). Identification of Cells Expressing IL-17A and IL-17F in the Lungs of Patients With COPD. CHEST Journal. 139(5). 1089–1100. 95 indexed citations
14.
Wolowacz, Sorrel, S Beard, Paul A. Robinson, et al.. (2009). Economic evaluation of dabigatran etexilate for the prevention of venous thromboembolism after total knee and hip replacement surgery. Clinical Therapeutics. 31(1). 194–212. 61 indexed citations
15.
Morgan, Christopher Ll., Phil McEwan, Andrzej Tukiendorf, et al.. (2008). Warfarin treatment in patients with atrial fibrillation: Observing outcomes associated with varying levels of INR control. Thrombosis Research. 124(1). 37–41. 215 indexed citations
16.
17.
Leech, S. H., et al.. (2007). Persistent endothelial abnormalities and blood–brain barrier leak in primary and secondary progressive multiple sclerosis. Neuropathology and Applied Neurobiology. 33(1). 86–98. 107 indexed citations
18.
Edwards, Steven J, Helen Campbell, & Jonathan Plumb. (2006). Cost-utility analysis comparing meropenem with imipenem plus cilastatin in the treatment of severe infections in intensive care. The European Journal of Health Economics. 7(1). 72–78. 18 indexed citations
19.
Hutchinson, John, et al.. (2002). Cost-effectiveness of eformoterol Turbohaler® versus salmeterol Accuhaler® in children with symptomatic asthma. Respiratory Medicine. 96(4). 250–258. 23 indexed citations
20.
Plumb, Jonathan & Julian F. Guest. (1999). Annual Cost of Erectile Dysfunction to UK Society. PharmacoEconomics. 16(6). 699–709. 29 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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