Poonam Ghai

819 total citations · 1 hit paper
9 papers, 475 citations indexed

About

Poonam Ghai is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Immunology. According to data from OpenAlex, Poonam Ghai has authored 9 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pulmonary and Respiratory Medicine, 3 papers in Molecular Biology and 2 papers in Immunology. Recurrent topics in Poonam Ghai's work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (5 papers), Inhalation and Respiratory Drug Delivery (4 papers) and Extracellular vesicles in disease (2 papers). Poonam Ghai is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (5 papers), Inhalation and Respiratory Drug Delivery (4 papers) and Extracellular vesicles in disease (2 papers). Poonam Ghai collaborates with scholars based in United Kingdom, United States and Australia. Poonam Ghai's co-authors include Philip L. Molyneaux, Clare M. Lloyd, Richard Hewitt, Patricia P. Ogger, Toby M. Maher, Adam J. Byrne, Simone A. Walker, Shaun Kingston, Peter McErlean and Peter Saunders and has published in prestigious journals such as The Journal of Experimental Medicine, Immunity and PLoS ONE.

In The Last Decade

Poonam Ghai

9 papers receiving 475 citations

Hit Papers

Immuno-proteomic profiling reveals aberrant immune cell r... 2022 2026 2023 2024 2022 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Poonam Ghai United Kingdom 8 207 172 146 69 68 9 475
Patricia P. Ogger United Kingdom 9 209 1.0× 213 1.2× 169 1.2× 70 1.0× 76 1.1× 13 530
Nuria E. Cabrera-Benítez Canada 8 259 1.3× 65 0.4× 113 0.8× 49 0.7× 54 0.8× 9 411
Yuliya Politanska United States 6 109 0.5× 100 0.6× 96 0.7× 68 1.0× 91 1.3× 10 374
Kenjiro Shima Japan 13 182 0.9× 136 0.8× 60 0.4× 20 0.3× 57 0.8× 29 453
Konstantin N. Konstantinov United States 13 107 0.5× 123 0.7× 195 1.3× 17 0.2× 28 0.4× 26 536
Weiqiang Tang China 9 93 0.4× 119 0.7× 112 0.8× 46 0.7× 13 0.2× 20 460
Himmet Haluk Akar Türkiye 10 43 0.2× 111 0.6× 52 0.4× 20 0.3× 35 0.5× 34 268
Jeffrey M. Sturek United States 10 66 0.3× 64 0.4× 130 0.9× 55 0.8× 140 2.1× 21 490
H. Cameron United Kingdom 15 82 0.4× 254 1.5× 22 0.2× 47 0.7× 27 0.4× 19 546
Robert W. King United States 7 196 0.9× 110 0.6× 254 1.7× 9 0.1× 34 0.5× 12 466

Countries citing papers authored by Poonam Ghai

Since Specialization
Citations

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

Fields of papers citing papers by Poonam Ghai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Poonam Ghai

This figure shows the co-authorship network connecting the top 25 collaborators of Poonam Ghai. A scholar is included among the top collaborators of Poonam Ghai 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 Poonam Ghai. Poonam Ghai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Oldham, Justin M., Kirk W. Johnson, Poonam Ghai, et al.. (2023). Airway soluble CSF1R predicts progression in patients with idiopathic pulmonary fibrosis. ERJ Open Research. 9(4). 690–2022. 3 indexed citations
2.
Vijayakumar, Bavithra, Patricia P. Ogger, Artemis Papadaki, et al.. (2022). Immuno-proteomic profiling reveals aberrant immune cell regulation in the airways of individuals with ongoing post-COVID-19 respiratory disease. Immunity. 55(3). 542–556.e5. 108 indexed citations breakdown →
3.
McErlean, Peter, Christopher G. Bell, Richard Hewitt, et al.. (2021). DNA Methylome Alterations Are Associated with Airway Macrophage Differentiation and Phenotype during Lung Fibrosis. American Journal of Respiratory and Critical Care Medicine. 204(8). 954–966. 29 indexed citations
4.
Ghai, Poonam, Rachele Invernizzi, Richard Hewitt, et al.. (2021). Autoantibodies are present in the bronchoalveolar lavage but not circulation in patients with fibrotic interstitial lung disease. ERJ Open Research. 8(1). 481–2021. 7 indexed citations
5.
Ogger, Patricia P., Richard Hewitt, Brendan O’Sullivan, et al.. (2020). Itaconate controls the severity of pulmonary fibrosis. Science Immunology. 5(52). 104 indexed citations
7.
Invernizzi, Rachele, Joseph Barnett, Arjun Nair, et al.. (2020). Bacterial burden in the lower airways predicts disease progression in idiopathic pulmonary fibrosis and is independent of radiological disease extent. European Respiratory Journal. 55(4). 1901519–1901519. 42 indexed citations
8.
Byrne, Adam J., Joseph E. Powell, Brendan O’Sullivan, et al.. (2020). Dynamics of human monocytes and airway macrophages during healthy aging and after transplant. The Journal of Experimental Medicine. 217(3). 97 indexed citations
9.
Ogger, Patricia P., Poonam Ghai, Peter McErlean, et al.. (2019). The Transferrin Receptor CD71 Delineates Functionally Distinct Airway Macrophage Subsets during Idiopathic Pulmonary Fibrosis. American Journal of Respiratory and Critical Care Medicine. 200(2). 209–219. 76 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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