Poonam Ghai

15 total papers · 799 total citations
9 papers, 465 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 465 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 Neonatal Respiratory Health Research (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 Neonatal Respiratory Health Research (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 465 citations

Hit Papers

Immuno-proteomic profilin... 2022 2026 2023 2024 2022 25 50 75 100

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Poonam Ghai 204 172 144 68 67 9 465
Patricia P. Ogger 205 1.0× 211 1.2× 166 1.2× 75 1.1× 68 1.0× 13 513
Nuria E. Cabrera-Benítez 254 1.2× 64 0.4× 113 0.8× 54 0.8× 49 0.7× 9 406
Samira Salek‐Ardakani 91 0.4× 173 1.0× 102 0.7× 80 1.2× 43 0.6× 9 460
Céline Vanwinge 74 0.4× 228 1.3× 100 0.7× 162 2.4× 79 1.2× 6 408
Luis J. Garcia‐Morales 306 1.5× 59 0.3× 90 0.6× 28 0.4× 24 0.4× 11 487
Estefanía Batalla-Solís 249 1.2× 85 0.5× 96 0.7× 14 0.2× 23 0.3× 10 457
Dan Hsu 69 0.3× 169 1.0× 113 0.8× 12 0.2× 34 0.5× 8 498
J R Pincott 70 0.3× 142 0.8× 83 0.6× 34 0.5× 22 0.3× 16 539
Marisa C. Louie 141 0.7× 62 0.4× 114 0.8× 21 0.3× 20 0.3× 13 460
Sanaz Abbaspour‐Aghdam 42 0.2× 160 0.9× 139 1.0× 94 1.4× 68 1.0× 12 460

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

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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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