Prabir Ray

12.5k total citations · 3 hit papers
155 papers, 9.8k citations indexed

About

Prabir Ray is a scholar working on Immunology, Polymers and Plastics and Molecular Biology. According to data from OpenAlex, Prabir Ray has authored 155 papers receiving a total of 9.8k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Immunology, 31 papers in Polymers and Plastics and 29 papers in Molecular Biology. Recurrent topics in Prabir Ray's work include Asthma and respiratory diseases (27 papers), Textile materials and evaluations (21 papers) and Immune Response and Inflammation (21 papers). Prabir Ray is often cited by papers focused on Asthma and respiratory diseases (27 papers), Textile materials and evaluations (21 papers) and Immune Response and Inflammation (21 papers). Prabir Ray collaborates with scholars based in United States, India and United Kingdom. Prabir Ray's co-authors include Anuradha Ray, Dong-Hong Zhang, Lauren Cohn, Timothy B. Oriss, Peter Besmer, Liyan Yang, Richard A. Flavell, Nandini Krishnamoorthy, K Nocka and Kim Bottomly and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Prabir Ray

152 papers receiving 9.6k citations

Hit Papers

Transcription Factor GATA-3 Is Differentially Expressed i... 1990 2026 2002 2014 1997 1990 2010 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Prabir Ray United States 51 4.5k 2.6k 2.5k 1.7k 997 155 9.8k
Kunihiko Tamaki Japan 57 4.2k 0.9× 2.6k 1.0× 1.3k 0.5× 863 0.5× 1.4k 1.4× 273 11.3k
Kelly M. McNagny Canada 50 4.3k 1.0× 5.1k 2.0× 2.1k 0.8× 1.2k 0.7× 1.1k 1.1× 163 11.5k
Carol Basbaum United States 50 1.5k 0.3× 3.6k 1.4× 1.7k 0.7× 2.4k 1.4× 1.0k 1.1× 131 8.1k
Gunnar Nilsson Sweden 54 5.8k 1.3× 2.1k 0.8× 2.2k 0.9× 936 0.5× 1.1k 1.1× 259 9.6k
Thomas Schwarz Germany 57 4.5k 1.0× 2.2k 0.8× 751 0.3× 587 0.3× 1.2k 1.2× 204 10.6k
Joost Schalkwijk Netherlands 59 2.6k 0.6× 3.3k 1.3× 797 0.3× 605 0.4× 912 0.9× 259 11.2k
Manabu Mochizuki Japan 66 2.8k 0.6× 2.2k 0.9× 1.2k 0.5× 1.4k 0.8× 938 0.9× 459 16.5k
Wolfgang R. Sperr Austria 71 6.7k 1.5× 3.0k 1.2× 2.8k 1.2× 1.1k 0.6× 1.1k 1.1× 413 18.6k
Liliana Schaefer Germany 64 2.8k 0.6× 6.5k 2.5× 810 0.3× 1.5k 0.9× 1.3k 1.3× 193 14.0k
Donald L. Kreutzer United States 48 1.8k 0.4× 2.7k 1.0× 539 0.2× 954 0.6× 1.2k 1.2× 165 8.0k

Countries citing papers authored by Prabir Ray

Since Specialization
Citations

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

Fields of papers citing papers by Prabir Ray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prabir Ray

This figure shows the co-authorship network connecting the top 25 collaborators of Prabir Ray. A scholar is included among the top collaborators of Prabir Ray 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 Prabir Ray. Prabir Ray 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.
Ramonell, Richard P., Timothy B. Oriss, Nicholas J. Brandon, et al.. (2025). CD8+ TEMRAs in severe asthma associate with asthma symptom duration and escape proliferation arrest. JCI Insight. 10(8).
2.
Kamiński, Tomasz W., William Bain, Sanmei Hu, et al.. (2024). Neutrophils and galectin-3 defend mice from lethal bacterial infection and humans from acute respiratory failure. Nature Communications. 15(1). 4724–4724. 8 indexed citations
3.
Kitsios, Georgios D., Mehdi Nouraie, Shulin Qin, et al.. (2023). Distinct profiles of host responses between plasma and lower respiratory tract during acute respiratory failure. ERJ Open Research. 9(3). 743–2022. 2 indexed citations
4.
Bain, William, Mohammadreza Tabary, Sara Moore, et al.. (2023). Factor H preserves alternative complement function during ARDS, linked to improved survival. ERJ Open Research. 9(3). 702–2022. 3 indexed citations
5.
Jacobs, Jana L., Asma Naqvi, Faraaz Shah, et al.. (2022). Plasma SARS-CoV-2 RNA Levels as a Biomarker of Lower Respiratory Tract SARS-CoV-2 Infection in Critically Ill Patients With COVID-19. The Journal of Infectious Diseases. 226(12). 2089–2094. 11 indexed citations
6.
Rahman, Syed A., Anthony R. Cillo, Ashwin Somasundaram, et al.. (2022). Antibodies targeting conserved non-canonical antigens and endemic coronaviruses associate with favorable outcomes in severe COVID-19. Cell Reports. 39(13). 111020–111020. 12 indexed citations
7.
Peñaloza, Hernán F., Janet Lee, & Prabir Ray. (2021). Neutrophils and lymphopenia, an unknown axis in severe COVID-19 disease. PLoS Pathogens. 17(9). e1009850–e1009850. 35 indexed citations
8.
Sagar, Shakti, et al.. (2021). Cardiolipin-mediated PPARγ S112 phosphorylation impairs IL-10 production and inflammation resolution during bacterial pneumonia. Cell Reports. 34(6). 108736–108736. 17 indexed citations
9.
Gauthier, Marc, Krishnendu Chakraborty, Timothy B. Oriss, et al.. (2018). STAT1 and Glucocorticoid Receptor Interaction: Mechanism for Steroid Insensitivity in Type 1 High Severe Asthma. Journal of Allergy and Clinical Immunology. 141(2). AB196–AB196. 1 indexed citations
10.
Gauthier, Marc, Krishnendu Chakraborty, Timothy B. Oriss, et al.. (2017). Severe asthma in humans and mouse model suggests a CXCL10 signature underlies corticosteroid-resistant Th1 bias. JCI Insight. 2(13). 95 indexed citations
11.
Chakrabarti, Swapan, et al.. (2016). Specially treated woven jute geotextiles for river bank protection. Indian Journal of Fibre & Textile Research (IJFTR). 41(2). 207–211. 4 indexed citations
12.
Ray, Anuradha, Mahesh Raundhal, Timothy B. Oriss, Prabir Ray, & Sally E. Wenzel. (2016). Current concepts of severe asthma. Journal of Clinical Investigation. 126(7). 2394–2403. 156 indexed citations
13.
Raundhal, Mahesh, Christina Morse, Anupriya Khare, et al.. (2015). High IFN-γ and low SLPI mark severe asthma in mice and humans. Journal of Clinical Investigation. 125(8). 3037–3050. 300 indexed citations
14.
Pandit, Kusum, David L. Corcoran, Hanadie Yousef, et al.. (2010). Inhibition and Role of let-7d in Idiopathic Pulmonary Fibrosis. American Journal of Respiratory and Critical Care Medicine. 182(2). 220–229. 410 indexed citations breakdown →
15.
Ray, Prabir. (2005). Protection of Epithelial Cells by Keratincoyte Growth Factor Signaling. Proceedings of the American Thoracic Society. 2(3). 221–225. 38 indexed citations
16.
Ray, Prabir, et al.. (2005). Effect of dynamic loading on jute-based needle-punched nonwoven fabrics. Indian Journal of Fibre & Textile Research. 30(4). 389–395. 5 indexed citations
17.
Temann, Ulla-Angela, Prabir Ray, & Richard A. Flavell. (2002). Pulmonary overexpression of IL-9 induces Th2 cytokine expression, leading to immune pathology. Journal of Clinical Investigation. 109(1). 29–39. 183 indexed citations
18.
Temann, Ulla-Angela, Prabir Ray, & Richard A. Flavell. (2002). Pulmonary overexpression of IL-9 induces Th2 cytokine expression, leading to immune pathology. Journal of Clinical Investigation. 109(1). 29–39. 10 indexed citations
19.
Ray, Prabir, Weiliang Tang, Robert Homer, et al.. (1997). Regulated overexpression of interleukin 11 in the lung. Use to dissociate development-dependent and -independent phenotypes.. Journal of Clinical Investigation. 100(10). 2501–2511. 120 indexed citations
20.
Ray, Anuradha, Dong-Hong Zhang, Mark D. Siegel, & Prabir Ray. (1995). Regulation of Interleukin‐6 Gene Expression by Steroidsa. Annals of the New York Academy of Sciences. 762(1). 79–88. 35 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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