Pradyot Dash

5.3k total citations · 3 hit papers
35 papers, 3.1k citations indexed

About

Pradyot Dash is a scholar working on Immunology, Epidemiology and Oncology. According to data from OpenAlex, Pradyot Dash has authored 35 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Immunology, 14 papers in Epidemiology and 8 papers in Oncology. Recurrent topics in Pradyot Dash's work include Immune Cell Function and Interaction (21 papers), T-cell and B-cell Immunology (16 papers) and CAR-T cell therapy research (7 papers). Pradyot Dash is often cited by papers focused on Immune Cell Function and Interaction (21 papers), T-cell and B-cell Immunology (16 papers) and CAR-T cell therapy research (7 papers). Pradyot Dash collaborates with scholars based in United States, United Kingdom and Australia. Pradyot Dash's co-authors include Paul G. Thomas, Peter C. Doherty, Cory Reynolds, Walid Awad, Thirumala‐Devi Kanneganti, Geoffrey Neale, Hossam A. Abdelsamed, Ben Youngblood, Yiping Fan and Robert Carter and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Pradyot Dash

32 papers receiving 3.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Intracellular Sensor NLRP3 Mediates Key Innate and Healing Responses to Influenza A Virus via the Regulation of Caspase-1

2009 617 citations Paul G. Thomas, Pradyot Dash et al. profile →
De Novo Epigenetic Programs Inhibit PD-1 Blockade-Mediated T Cell Rejuvenation

2017 567 citations Pradyot Dash, Walid Awad et al. profile →
Quantifiable predictive features define epitope-specific T cell receptor repertoires

2017 520 citations Pradyot Dash, Andrew Fioré-Gartland et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pradyot Dash United States	23	2.0k	1.1k	776	739	353	35	3.1k
Pierre Génin France	29	2.1k 1.1×	934 0.8×	755 1.0×	1.0k 1.4×	475 1.3×	46	3.7k
Florian Heil United States	9	2.8k 1.4×	1.3k 1.1×	669 0.9×	606 0.8×	337 1.0×	11	4.1k
Agnès Le Bon France	19	3.0k 1.5×	525 0.5×	659 0.8×	783 1.1×	459 1.3×	27	3.8k
Martha A. Alexander‐Miller United States	28	2.3k 1.1×	893 0.8×	843 1.1×	634 0.9×	252 0.7×	94	3.5k
Luoling Xu Canada	26	1.5k 0.7×	664 0.6×	560 0.7×	685 0.9×	372 1.1×	37	2.7k
Scott A. Brown United States	23	2.0k 1.0×	1.1k 0.9×	809 1.0×	424 0.6×	284 0.8×	45	3.2k
Thomas Pertel United States	26	2.0k 1.0×	1.1k 1.0×	853 1.1×	422 0.6×	597 1.7×	37	3.5k
Elina I. Zúñiga United States	30	3.3k 1.6×	803 0.7×	783 1.0×	643 0.9×	651 1.8×	69	4.4k
Grazia Galli Italy	26	2.0k 1.0×	381 0.3×	801 1.0×	771 1.0×	319 0.9×	41	3.0k
Sean E. Doyle United States	18	2.4k 1.2×	721 0.6×	760 1.0×	624 0.8×	435 1.2×	20	3.5k

Countries citing papers authored by Pradyot Dash

Since Specialization

Citations

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

Fields of papers citing papers by Pradyot Dash

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pradyot Dash

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

All Works

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20 of 20 papers shown

Alabanza, Leah, Ying Xiong, Bang K. Vu, et al.. (2022). Armored BCMA CAR T Cells Eliminate Multiple Myeloma and Are Resistant to the Suppressive Effects of TGF-β. Frontiers in Immunology. 13. 832645–832645. 41 indexed citations

Surman, Sherri L., Jeremy Chase Crawford, Pradyot Dash, et al.. (2022). Microbiome Shapes the T Cell Receptor Repertoire among CD4+CD8+ Thymocytes. Biomedicines. 10(12). 3015–3015. 1 indexed citations

Sant, Sneha, Misty R. Jenkins, Pradyot Dash, et al.. (2019). Human γδ T‐cell receptor repertoire is shaped by influenza viruses, age and tissue compartmentalisation. Clinical & Translational Immunology. 8(9). e1079–e1079. 33 indexed citations

Yang, Kai, Daniel Bastardo Blanco, Xiang Chen, et al.. (2018). Metabolic signaling directs the reciprocal lineage decisions of αβ and γδ T cells. Science Immunology. 3(25). 62 indexed citations

Blanco, Daniel Bastardo, Xiang Chen, Pradyot Dash, et al.. (2018). Metabolic signaling directs the reciprocal lineage decisions of αβ and γδ T cells. PMC. 14 indexed citations

Dash, Pradyot, Andrew Fioré-Gartland, Tomer Hertz, et al.. (2017). Quantifiable predictive features define epitope-specific T cell receptor repertoires. Nature. 547(7661). 89–93. 520 indexed citations breakdown →

Guo, Xi-zhi J., et al.. (2016). Rapid cloning, expression, and functional characterization of paired αβ and γδ T-cell receptor chains from single-cell analysis. Molecular Therapy — Methods & Clinical Development. 3. 15054–15054. 37 indexed citations

Dash, Pradyot, George Wang, & Paul G. Thomas. (2015). Single-Cell Analysis of T-Cell Receptor αβ Repertoire. Methods in molecular biology. 1343. 181–197. 28 indexed citations

Dash, Pradyot & Paul G. Thomas. (2014). Host Detection and the Stealthy Phenotype in Influenza Virus Infection. Current topics in microbiology and immunology. 386. 121–147. 18 indexed citations

10.

Rosenberger, Carrie M., Rebecca Podyminogin, Peter S. Askovich, et al.. (2013). Characterization of innate responses to influenza virus infection in a novel lung type I epithelial cell model. Journal of General Virology. 95(2). 350–362. 37 indexed citations

11.

Stry, Melanie Van, Thomas H. Oguin, Sihem Cheloufi, et al.. (2012). Enhanced Susceptibility of Ago1/3 Double-Null Mice to Influenza A Virus Infection. Journal of Virology. 86(8). 4151–4157. 28 indexed citations

12.

Wang, George, Pradyot Dash, Jonathan A. McCullers, Peter C. Doherty, & Paul G. Thomas. (2012). T Cell Receptor αβ Diversity Inversely Correlates with Pathogen-Specific Antibody Levels in Human Cytomegalovirus Infection. Science Translational Medicine. 4(128). 128ra42–128ra42. 165 indexed citations

13.

Dash, Pradyot, Jennifer McClaren, Thomas H. Oguin, et al.. (2011). Paired analysis of TCR alpha and TCR beta chains at the single-cell level in mice. Journal of Clinical Investigation. 121(1). 8 indexed citations

14.

Liu, Jie, Tracy J. Ruckwardt, Man Chen, et al.. (2010). T Cell Receptor Clonotype Influences Epitope Hierarchy in the CD8+ T Cell Response to Respiratory Syncytial Virus Infection. Journal of Biological Chemistry. 286(6). 4829–4841. 29 indexed citations

15.

Dash, Pradyot, Jennifer McClaren, Thomas H. Oguin, et al.. (2010). Paired analysis of TCRα and TCRβ chains at the single-cell level in mice. Journal of Clinical Investigation. 121(1). 288–295. 159 indexed citations

16.

Chard, Louisa S., Dalan Bailey, Pradyot Dash, Ashley C. Banyard, & Thomas Barrett. (2008). Full genome sequences of two virulent strains of peste-des-petits ruminants virus, the Côte d’Ivoire 1989 and Nigeria 1976 strains. Virus Research. 136(1-2). 192–197. 44 indexed citations

17.

Bailey, Dalan, Louisa S. Chard, Pradyot Dash, Tom Barrett, & Ashley C. Banyard. (2007). Reverse genetics for peste-des-petits-ruminants virus (PPRV): Promoter and protein specificities. Virus Research. 126(1-2). 250–255. 32 indexed citations

18.

Takamatsu, H., M. Denyer, Catrina Stirling, et al.. (2006). Porcine γδ T cells: Possible roles on the innate and adaptive immune responses following virus infection. Veterinary Immunology and Immunopathology. 112(1-2). 49–61. 95 indexed citations

19.

Dash, Pradyot, et al.. (2005). Comparative phylogenetic analysis of bluetongue virus based on sequencing of two different regions of L2 gene. Indian Journal of Comparative Microbiology Immunology and Infectious Diseases. 26(2). 79–85.

20.

Bailey, Dalan, Ashley C. Banyard, Pradyot Dash, Aykut Özkul, & Tom Barrett. (2005). Full genome sequence of peste des petits ruminants virus, a member of the Morbillivirus genus. Virus Research. 110(1-2). 119–124. 163 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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