MG Belvisi

751 total citations
21 papers, 592 citations indexed

About

MG Belvisi is a scholar working on Pulmonary and Respiratory Medicine, Physiology and Immunology. According to data from OpenAlex, MG Belvisi has authored 21 papers receiving a total of 592 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pulmonary and Respiratory Medicine, 6 papers in Physiology and 6 papers in Immunology. Recurrent topics in MG Belvisi's work include Respiratory and Cough-Related Research (6 papers), Asthma and respiratory diseases (6 papers) and Ion channel regulation and function (4 papers). MG Belvisi is often cited by papers focused on Respiratory and Cough-Related Research (6 papers), Asthma and respiratory diseases (6 papers) and Ion channel regulation and function (4 papers). MG Belvisi collaborates with scholars based in United Kingdom, United States and Sweden. MG Belvisi's co-authors include Peter J. Barnes, Mark A. Birrell, M. Miura, D. F. Rogers, M. Ichinose, S. E. Webber, J. A. Mitchell, Anthony T. Nials, Diana L. Clarke and James Buckley and has published in prestigious journals such as Proceedings of the National Academy of Sciences, American Journal of Respiratory and Critical Care Medicine and Journal of Applied Physiology.

In The Last Decade

MG Belvisi

21 papers receiving 565 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
MG Belvisi United Kingdom 12 300 233 178 170 88 21 592
Kristen E. Belmonte United States 13 360 1.2× 256 1.1× 117 0.7× 282 1.7× 99 1.1× 19 724
Charles A. Rizzo United States 18 308 1.0× 302 1.3× 203 1.1× 216 1.3× 143 1.6× 30 779
H. Meurs Netherlands 13 573 1.9× 266 1.1× 127 0.7× 369 2.2× 104 1.2× 17 875
Sonja Matthiesen Germany 10 259 0.9× 325 1.4× 96 0.5× 260 1.5× 34 0.4× 10 702
Annet B. Zuidhof Netherlands 14 655 2.2× 235 1.0× 116 0.7× 378 2.2× 122 1.4× 24 867
T J Torphy United States 17 630 2.1× 482 2.1× 198 1.1× 253 1.5× 131 1.5× 28 1.0k
Adrian N. Payne United Kingdom 15 336 1.1× 130 0.6× 59 0.3× 168 1.0× 87 1.0× 23 523
Kevin Monaghan United States 12 157 0.5× 494 2.1× 148 0.8× 32 0.2× 91 1.0× 18 890
J. G. Drewett United States 16 300 1.0× 360 1.5× 94 0.5× 74 0.4× 62 0.7× 22 878
Jennifer Danielsson United States 15 96 0.3× 310 1.3× 89 0.5× 88 0.5× 37 0.4× 21 528

Countries citing papers authored by MG Belvisi

Since Specialization
Citations

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

Fields of papers citing papers by MG Belvisi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of MG Belvisi

This figure shows the co-authorship network connecting the top 25 collaborators of MG Belvisi. A scholar is included among the top collaborators of MG Belvisi 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 MG Belvisi. MG Belvisi 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.
Singh, Neeraj Pal, Sarah Doffman, Ulla Seppälä, et al.. (2024). S92 FRONTIER-4: a phase 2a study to investigate tozorakimab (anti-IL-33 mAb) in COPD. A68.1–A68. 1 indexed citations
2.
Doffman, Sarah, Ulla Seppälä, Rachel Moate, et al.. (2024). S91 Tozorakimab (anti-IL-33 mAb) reduces mucus plugging in COPD: an imaging sub-study in the FRONTIER-4 phase 2a COPD trial. A67–A68. 1 indexed citations
3.
4.
Silverberg, Jonathan I., Richard T. Smith, Anne‐Maree Kelly, et al.. (2024). Efficacy and safety of tozorakimab in moderate‐to‐severe atopic dermatitis: A Phase 2a randomized controlled trial (FRONTIER‐2). Journal of the European Academy of Dermatology and Venereology. 39(6). 1126–1133. 3 indexed citations
5.
Belvisi, MG, et al.. (2017). T1 Bacteria can trigger airway sensory nerves via the activation of tlr2. HighWire Press Open Archive. A1.1–A1. 2 indexed citations
6.
Dubuis, Eric, et al.. (2017). T2 Oestrogen: an endogenous agonist for trpm3 triggered sensory nerve activation in the airway?. HighWire Press Open Archive. A1.2–A1. 2 indexed citations
7.
Buckley, James, et al.. (2011). EP4 receptor as a new target for bronchodilator therapy. Thorax. 66(12). 1029–1035. 87 indexed citations
8.
Khalid, Saifudin, Rachel Dockry, Kimberley Holt, et al.. (2011). S139 Cough responses to tussive agents in health and disease. Thorax. 66(Suppl 4). A64–A64. 1 indexed citations
9.
Birrell, Mark A., et al.. (2000). Effect of the p38 kinase inhibitor, SB 203580, on sephadex induced airway inflammation in the rat. European Respiratory Journal. 16(5). 947–950. 21 indexed citations
10.
Belvisi, MG, et al.. (2000). Anti-inflammatory properties of ebselen in a model of sephadex-induced lung inflammation. European Respiratory Journal. 15(3). 579–581. 30 indexed citations
11.
Escott, Katherine J., et al.. (2000). Effect of the p38 kinase inhibitor, SB 203580, on allergic airway inflammation in the rat. British Journal of Pharmacology. 131(2). 173–176. 49 indexed citations
12.
Haddad, E B, Jcw Mak, MG Belvisi, et al.. (1996). Muscarinic and beta-adrenergic receptor expression in peripheral lung from normal and asthmatic patients. American Journal of Physiology-Lung Cellular and Molecular Physiology. 270(6). L947–L953. 23 indexed citations
13.
Takahashi, T, Jonathan K. Ward, S Tadjkarimi, et al.. (1995). 5-Hydroxytryptamine Facilitates Cholinergic Bronchoconstriction in Human and Guinea Pig Airways. American Journal of Respiratory and Critical Care Medicine. 152(1). 377–380. 25 indexed citations
14.
Belvisi, MG, et al.. (1995). Nitric oxide as a neurotransmitter in human airways.. PubMed. 329(1). 97–110. 64 indexed citations
15.
Miura, M., et al.. (1993). Bronchodilating effects of the novel potassium channel opener HOE 234 in human airways in vitro.. British Journal of Clinical Pharmacology. 35(3). 318–320. 8 indexed citations
16.
Miura, M., et al.. (1992). Calcium-activated potassium channels mediate prejunctional inhibition of peripheral sensory nerves.. Proceedings of the National Academy of Sciences. 89(4). 1325–1329. 85 indexed citations
17.
Belvisi, MG, et al.. (1992). Inhibition of cholinergic neurotransmission in human airways by opioids. Journal of Applied Physiology. 72(3). 1096–1100. 47 indexed citations
18.
Stretton, C.D., Jcw Mak, MG Belvisi, Magdi H. Yacoub, & Peter J. Barnes. (1990). Cholinergic Control of Human Airways In Vitro following Extrinsic Denervation of the Human Respiratory Tract by Heart-Lung Transplantation. American Review of Respiratory Disease. 142(5). 1030–1033. 16 indexed citations
19.
Ichinose, M., MG Belvisi, & Peter J. Barnes. (1990). Histamine H3-receptors inhibit neurogenic microvascular leakage in airways. Journal of Applied Physiology. 68(1). 21–25. 56 indexed citations
20.
Belvisi, MG, D. F. Rogers, & Peter J. Barnes. (1989). Neurogenic plasma extravasation: inhibition by morphine in guinea pig airways in vivo. Journal of Applied Physiology. 66(1). 268–272. 65 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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