Latifa Chachi

870 total citations
25 papers, 424 citations indexed

About

Latifa Chachi is a scholar working on Physiology, Pulmonary and Respiratory Medicine and Immunology. According to data from OpenAlex, Latifa Chachi has authored 25 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Physiology, 9 papers in Pulmonary and Respiratory Medicine and 5 papers in Immunology. Recurrent topics in Latifa Chachi's work include Asthma and respiratory diseases (21 papers), Respiratory and Cough-Related Research (6 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers). Latifa Chachi is often cited by papers focused on Asthma and respiratory diseases (21 papers), Respiratory and Cough-Related Research (6 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers). Latifa Chachi collaborates with scholars based in United Kingdom, United States and Canada. Latifa Chachi's co-authors include Christopher E. Brightling, Yassine Amrani, Peter Bradding, Omar Tliba, Ruth Saunders, Michael Biddle, Andrew J. Wardlaw, Davinder Kaur, Rachid Berair and Prashant K. Sharma and has published in prestigious journals such as The Journal of Immunology, Scientific Reports and CHEST Journal.

In The Last Decade

Latifa Chachi

24 papers receiving 419 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Latifa Chachi United Kingdom 12 288 171 145 70 49 25 424
Judith S. Grunstein United States 14 355 1.2× 166 1.0× 143 1.0× 135 1.9× 39 0.8× 18 546
Mireya Fuentes Spain 14 233 0.8× 90 0.5× 52 0.4× 49 0.7× 88 1.8× 24 488
Kelly D. Chason United States 12 113 0.4× 49 0.3× 155 1.1× 102 1.5× 28 0.6× 19 449
Rafael Bonamichi-Santos Brazil 6 142 0.5× 62 0.4× 75 0.5× 45 0.6× 41 0.8× 7 296
Kirandeep K. Chana United Kingdom 5 130 0.5× 166 1.0× 99 0.7× 164 2.3× 27 0.6× 7 402
Nathalie P. Duroudier United Kingdom 8 148 0.5× 52 0.3× 60 0.4× 89 1.3× 112 2.3× 9 411
Jiong Yang China 12 95 0.3× 69 0.4× 135 0.9× 221 3.2× 40 0.8× 21 496
Susan S. Meltzer United States 7 272 0.9× 153 0.9× 86 0.6× 35 0.5× 20 0.4× 8 330
Ingrid Delin Sweden 8 304 1.1× 207 1.2× 89 0.6× 41 0.6× 25 0.5× 11 411
Julie Coote United Kingdom 6 156 0.5× 164 1.0× 48 0.3× 37 0.5× 22 0.4× 6 299

Countries citing papers authored by Latifa Chachi

Since Specialization
Citations

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

Fields of papers citing papers by Latifa Chachi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Latifa Chachi

This figure shows the co-authorship network connecting the top 25 collaborators of Latifa Chachi. A scholar is included among the top collaborators of Latifa Chachi 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 Latifa Chachi. Latifa Chachi 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.
2.
Saunders, Ruth, Davinder Kaur, Dhananjay Desai, et al.. (2020). Fibrocyte localisation to the ASM bundle in asthma: bidirectional effects on cell phenotype and behaviour. Clinical & Translational Immunology. 9(11). e1205–e1205. 8 indexed citations
3.
Prihandoko, Rudi, Davinder Kaur, Coen Wiegman, et al.. (2020). Pathophysiological regulation of lung function by the free fatty acid receptor FFA4. Science Translational Medicine. 12(557). 19 indexed citations
4.
Kaur, Davinder, Latifa Chachi, Edith Gomez, et al.. (2020). ST2 expression and release by the bronchial epithelium is downregulated in asthma. Allergy. 75(12). 3184–3194. 7 indexed citations
5.
Kaul, Himanshu, Rachid Berair, Sherif Gonem, et al.. (2019). Prostaglandin D2 type 2 receptor antagonism reduces airway smooth muscle mass in asthma: mechanistic insights from in vitro and computational models. The Novartis Repository (Novartis).
6.
George, Leena, Adam Wright, Vijay Mistry, et al.. (2019). <p>Sputum <em>Streptococcus pneumoniae</em> is reduced in COPD following treatment with benralizumab</p>. International Journal of COPD. Volume 14. 1177–1185. 9 indexed citations
7.
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
9.
Saunders, Ruth, Himanshu Kaul, Rachid Berair, et al.. (2019). DP 2 antagonism reduces airway smooth muscle mass in asthma by decreasing eosinophilia and myofibroblast recruitment. Science Translational Medicine. 11(479). 54 indexed citations
10.
Chernyavsky, Igor L., Richard Russell, Ruth Saunders, et al.. (2018). In vitro,in silicoandin vivostudy challenges the impact of bronchial thermoplasty on acute airway smooth muscle mass loss. European Respiratory Journal. 51(5). 1701680–1701680. 34 indexed citations
11.
Chachi, Latifa, Cynthia Koziol‐White, Michael Biddle, et al.. (2018). Increased β2-adrenoceptor phosphorylation in airway smooth muscle in severe asthma: possible role of mast cell-derived growth factors. Clinical & Experimental Immunology. 194(2). 253–258. 20 indexed citations
12.
Saunders, Ruth, Himanshu Kaul, Rachid Berair, et al.. (2017). Fevipiprant (qaw039) Reduces Airway Smooth Muscle Mass In Asthma Via Antagonism Of The Prostaglandin D2 Receptor 2 (dp2). 4 indexed citations
13.
Saunders, Ruth, Himanshu Kaul, Rachid Berair, et al.. (2017). Fevipiprant reduces airway smooth muscle mass in asthmatics via PGD2 receptor antagonism. OA283–OA283. 1 indexed citations
14.
Hollins, Fay, Lucy Woodman, Robert A. Hirst, et al.. (2016). NADPH Oxidase-4 Overexpression Is Associated With Epithelial Ciliary Dysfunction in Neutrophilic Asthma. CHEST Journal. 149(6). 1445–1459. 45 indexed citations
15.
Chachi, Latifa, Mahnaz Abbasian, Abdulrahman Alzahrani, et al.. (2016). Protein phosphatase 5 mediates corticosteroid insensitivity in airway smooth muscle in patients with severe asthma. Allergy. 72(1). 126–136. 20 indexed citations
16.
Chachi, Latifa, et al.. (2015). The Plant Derivative Compound A Inhibits the Production of Corticosteroid-resistant Chemokines by Airway Smooth Muscle Cells.. American Journal of Respiratory Cell and Molecular Biology. 2738196492. 11 indexed citations
17.
Chachi, Latifa, et al.. (2015). Effect of the Plant Derivative Compound A on the Production of Corticosteroid-Resistant Chemokines in Airway Smooth Muscle Cells. American Journal of Respiratory Cell and Molecular Biology. 53(5). 728–737. 15 indexed citations
18.
Chachi, Latifa, et al.. (2015). Abnormal corticosteroid signalling in airway smooth muscle: mechanisms and perspectives for the treatment of severe asthma. Clinical & Experimental Allergy. 45(11). 1637–1646. 7 indexed citations
19.
Lewis, Rebecca J., Latifa Chachi, Chris Newby, Yassine Amrani, & Peter Bradding. (2015). Bidirectional Counterregulation of Human Lung Mast Cell and Airway Smooth Muscle β2 Adrenoceptors. The Journal of Immunology. 196(1). 55–63. 25 indexed citations
20.
Chachi, Latifa, Christine R. Keenan, Mark M. Perry, et al.. (2014). Mechanisms of glucocorticoid action and insensitivity in airways disease. Pulmonary Pharmacology & Therapeutics. 29(2). 129–143. 52 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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