Prachi Bagadia

2.5k total citations · 1 hit paper
17 papers, 1.5k citations indexed

About

Prachi Bagadia is a scholar working on Immunology, Molecular Biology and Surgery. According to data from OpenAlex, Prachi Bagadia has authored 17 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 6 papers in Molecular Biology and 2 papers in Surgery. Recurrent topics in Prachi Bagadia's work include Immunotherapy and Immune Responses (9 papers), T-cell and B-cell Immunology (8 papers) and Immune Cell Function and Interaction (4 papers). Prachi Bagadia is often cited by papers focused on Immunotherapy and Immune Responses (9 papers), T-cell and B-cell Immunology (8 papers) and Immune Cell Function and Interaction (4 papers). Prachi Bagadia collaborates with scholars based in United States, Germany and Italy. Prachi Bagadia's co-authors include Kenneth M. Murphy, Carlos G. Briseño, Vivek Durai, Derek J. Theisen, Theresa L. Murphy, Xiaodi Wu, Arifumi Iwata, Jesse T. Davidson, Gary E. Grajales‐Reyes and Theresa L. Murphy and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Prachi Bagadia

17 papers receiving 1.5k citations

Hit Papers

cDC1 prime and are licensed by CD4+ T cells to induce ant... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Prachi Bagadia United States 12 1.3k 447 357 91 65 17 1.5k
Derek J. Theisen United States 15 1.1k 0.9× 469 1.0× 507 1.4× 88 1.0× 62 1.0× 17 1.5k
Robert Wadley Australia 10 982 0.8× 250 0.6× 276 0.8× 63 0.7× 79 1.2× 14 1.3k
Mikhail V. Pogorelyy Russia 20 1.1k 0.9× 326 0.7× 509 1.4× 167 1.8× 160 2.5× 32 1.5k
Cara Skon-Hegg United States 9 1.3k 1.0× 265 0.6× 331 0.9× 89 1.0× 189 2.9× 12 1.6k
Anthony Bonito United States 12 1.5k 1.2× 263 0.6× 207 0.6× 49 0.5× 109 1.7× 12 1.7k
Ramon Roozendaal Netherlands 15 867 0.7× 252 0.6× 246 0.7× 104 1.1× 156 2.4× 29 1.3k
Kazutaka Kitaura Japan 18 542 0.4× 258 0.6× 159 0.4× 86 0.9× 63 1.0× 46 880
Sandra P. Calderon-Copete Switzerland 7 1.3k 1.0× 1.1k 2.5× 305 0.9× 63 0.7× 100 1.5× 9 1.7k
Debra C. Lins United States 8 1.5k 1.2× 448 1.0× 255 0.7× 73 0.8× 156 2.4× 8 1.7k
J. Michael Stolley United States 12 656 0.5× 226 0.5× 197 0.6× 176 1.9× 107 1.6× 17 939

Countries citing papers authored by Prachi Bagadia

Since Specialization
Citations

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

Fields of papers citing papers by Prachi Bagadia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prachi Bagadia

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

All Works

17 of 17 papers shown
1.
Bagadia, Prachi, Verónica M. Rodríguez, Mark D. Sternlicht, et al.. (2023). 1333 FG-3165 is a novel galectin-9 neutralizing antibody that inhibits galectin-9-mediated dimerization of TIM-3 and galectin-9-induced apoptosis of CD4+ and CD8+ T cells. SHILAP Revista de lepidopterología. A1484–A1484. 1 indexed citations
2.
Liu, Tiantian, Feiya Ou, Julia A. Belk, et al.. (2023). Cisinteractions in theIrf8locus regulate stage-dependent enhancer activation. Genes & Development. 37(7-8). 291–302. 7 indexed citations
3.
Lai, Chin‐Wen, Prachi Bagadia, Nicholas N. Jarjour, et al.. (2022). Mesothelium-Derived Factors Shape GATA6-Positive Large Cavity Macrophages. The Journal of Immunology. 209(4). 742–750. 5 indexed citations
4.
Kim, Sun Kyung, Prachi Bagadia, David A. Anderson, et al.. (2021). High Amount of Transcription Factor IRF8 Engages AP1-IRF Composite Elements in Enhancers to Direct Type 1 Conventional Dendritic Cell Identity. Immunity. 54(7). 1622–1622. 3 indexed citations
5.
Kim, Sun Kyung, Prachi Bagadia, David A. Anderson, et al.. (2020). High Amount of Transcription Factor IRF8 Engages AP1-IRF Composite Elements in Enhancers to Direct Type 1 Conventional Dendritic Cell Identity. Immunity. 53(4). 759–774.e9. 53 indexed citations
6.
Ferris, Stephen T., Vivek Durai, Renee Wu, et al.. (2020). cDC1 prime and are licensed by CD4+ T cells to induce anti-tumour immunity. Nature. 584(7822). 624–629. 356 indexed citations breakdown →
7.
Bagadia, Prachi, Xiao Huang, Tiantian Liu, et al.. (2019). An Nfil3–Zeb2–Id2 pathway imposes Irf8 enhancer switching during cDC1 development. Nature Immunology. 20(9). 1174–1185. 79 indexed citations
8.
Bagadia, Prachi, Xiao Huang, Tiantian Liu, & Kenneth M. Murphy. (2019). Shared Transcriptional Control of Innate Lymphoid Cell and Dendritic Cell Development. Annual Review of Cell and Developmental Biology. 35(1). 381–406. 13 indexed citations
9.
Thackray, Larissa B., Scott A. Handley, Matthew J. Gorman, et al.. (2018). Oral Antibiotic Treatment of Mice Exacerbates the Disease Severity of Multiple Flavivirus Infections. Cell Reports. 22(13). 3440–3453.e6. 91 indexed citations
10.
Theisen, Derek J., Jesse T. Davidson, Carlos G. Briseño, et al.. (2018). WDFY4 is required for cross-presentation in response to viral and tumor antigens. Science. 362(6415). 694–699. 226 indexed citations
11.
Briseño, Carlos G., Ansuman T. Satpathy, Jesse T. Davidson, et al.. (2018). Notch2-dependent DC2s mediate splenic germinal center responses. Proceedings of the National Academy of Sciences. 115(42). 10726–10731. 56 indexed citations
12.
Durai, Vivek, Prachi Bagadia, Carlos G. Briseño, et al.. (2018). Altered compensatory cytokine signaling underlies the discrepancy between Flt3–/– and Flt3l–/– mice. The Journal of Experimental Medicine. 215(5). 1417–1435. 48 indexed citations
13.
Briseño, Carlos G., Malay Haldar, Nicole M. Kretzer, et al.. (2016). Distinct Transcriptional Programs Control Cross-Priming in Classical and Monocyte-Derived Dendritic Cells. Cell Reports. 15(11). 2462–2474. 152 indexed citations
14.
Kretzer, Nicole M., Derek J. Theisen, Roxane Tussiwand, et al.. (2016). RAB43 facilitates cross-presentation of cell-associated antigens by CD8α+ dendritic cells. The Journal of Experimental Medicine. 213(13). 2871–2883. 63 indexed citations
15.
Wu, Xiaodi, Carlos G. Briseño, Vivek Durai, et al.. (2016). Mafb lineage tracing to distinguish macrophages from other immune lineages reveals dual identity of Langerhans cells. The Journal of Experimental Medicine. 213(12). 2553–2565. 93 indexed citations
16.
Grajales‐Reyes, Gary E., Arifumi Iwata, Jörn C. Albring, et al.. (2015). Batf3 maintains autoactivation of Irf8 for commitment of a CD8α+ conventional DC clonogenic progenitor. Nature Immunology. 16(7). 708–717. 269 indexed citations
17.
Hanada, Ken‐ichi, et al.. (2013). Augmenting adoptive T cell therapy through universal chimeric costimulators. Journal for ImmunoTherapy of Cancer. 1(S1). 1 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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