Preeta Dasgupta

409 total citations
10 papers, 324 citations indexed

About

Preeta Dasgupta is a scholar working on Immunology, Physiology and Surgery. According to data from OpenAlex, Preeta Dasgupta has authored 10 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 5 papers in Physiology and 2 papers in Surgery. Recurrent topics in Preeta Dasgupta's work include IL-33, ST2, and ILC Pathways (7 papers), Asthma and respiratory diseases (5 papers) and Immune Cell Function and Interaction (4 papers). Preeta Dasgupta is often cited by papers focused on IL-33, ST2, and ILC Pathways (7 papers), Asthma and respiratory diseases (5 papers) and Immune Cell Function and Interaction (4 papers). Preeta Dasgupta collaborates with scholars based in United States, Slovakia and India. Preeta Dasgupta's co-authors include Achsah Keegan, Svetlana P. Chapoval, Elizabeth Smith, Andrew Ford, Irina Mikhailenko, Nancy Noben-Trauth, Louis J. DeTolla, Michael M. Lipsky, Ann E. Kelly-Welch and Xiulan Qi and has published in prestigious journals such as Blood, The Journal of Immunology and PLoS ONE.

In The Last Decade

Preeta Dasgupta

10 papers receiving 322 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Preeta Dasgupta United States 7 211 112 59 36 34 10 324
Aysefa Doganci Germany 8 199 0.9× 147 1.3× 42 0.7× 53 1.5× 42 1.2× 12 324
Johanna C. Ehlers Germany 3 98 0.5× 101 0.9× 63 1.1× 41 1.1× 70 2.1× 4 263
Yumiko Asakura Japan 8 256 1.2× 196 1.8× 52 0.9× 40 1.1× 37 1.1× 12 406
Jichuan Shan Canada 10 139 0.7× 169 1.5× 60 1.0× 22 0.6× 67 2.0× 16 313
Vivek Gandhi Canada 9 150 0.7× 165 1.5× 42 0.7× 20 0.6× 57 1.7× 15 342
Eiko Matsui Japan 10 97 0.5× 103 0.9× 88 1.5× 23 0.6× 38 1.1× 37 327
Diego Castaneda United States 8 135 0.6× 164 1.5× 34 0.6× 15 0.4× 52 1.5× 11 272
Sheeba Mathew United States 7 78 0.4× 106 0.9× 144 2.4× 41 1.1× 90 2.6× 8 373
Madison G. Boswell United States 9 238 1.1× 203 1.8× 38 0.6× 23 0.6× 70 2.1× 12 432
Thi Bich Tra Cao South Korea 10 105 0.5× 120 1.1× 55 0.9× 8 0.2× 50 1.5× 21 262

Countries citing papers authored by Preeta Dasgupta

Since Specialization
Citations

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

Fields of papers citing papers by Preeta Dasgupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Preeta Dasgupta

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

All Works

10 of 10 papers shown
2.
Dasgupta, Preeta, Jiaqi Li, Xiulan Qi, et al.. (2016). The adaptor protein insulin receptor substrate 2 inhibits alternative macrophage activation and allergic lung inflammation. Science Signaling. 9(433). ra63–ra63. 22 indexed citations
3.
Dasgupta, Preeta, Xiulan Qi, Elizabeth Smith, & Achsah Keegan. (2013). Absence of the Common Gamma Chain (γc), a Critical Component of the Type I IL-4 Receptor, Increases the Severity of Allergic Lung Inflammation. PLoS ONE. 8(8). e71344–e71344. 5 indexed citations
4.
Keegan, Achsah, et al.. (2013). Insulin Receptor Substrate-2 negatively regulates alternative macrophage activation and allergic lung inflammation. (P6009). The Journal of Immunology. 190(Supplement_1). 120.5–120.5. 1 indexed citations
6.
Dasgupta, Preeta & Achsah Keegan. (2012). Contribution of Alternatively Activated Macrophages to Allergic Lung Inflammation: A Tale of Mice and Men. Journal of Innate Immunity. 4(5-6). 478–488. 33 indexed citations
7.
Dasgupta, Preeta, Svetlana P. Chapoval, Elizabeth Smith, & Achsah Keegan. (2011). Transfer of in vivo primed transgenic T cells supports allergic lung inflammation and FIZZ1 and Ym1 production in an IL-4Rα and STAT6 dependent manner. BMC Immunology. 12(1). 60–60. 26 indexed citations
8.
Chapoval, Svetlana P., Preeta Dasgupta, Elizabeth Smith, et al.. (2011). STAT6 Expression in Multiple Cell Types Mediates the Cooperative Development of Allergic Airway Disease. The Journal of Immunology. 186(4). 2571–2583. 36 indexed citations
9.
Chapoval, Svetlana P., et al.. (2010). Regulation of the T helper cell type 2 (Th2)/T regulatory cell (Treg) balance by IL-4 and STAT6. Journal of Leukocyte Biology. 87(6). 1011–1018. 115 indexed citations
10.
Dasgupta, Preeta, et al.. (1989). Role of plasminogen activators and leukocytes in IUD-induced inflammation: effect of some anti-inflammatory agents. Advances in Contraception. 5(3). 173–178. 2 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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