Bhawna Gupta

1.5k total citations
47 papers, 1.1k citations indexed

About

Bhawna Gupta is a scholar working on Immunology, Molecular Biology and Rheumatology. According to data from OpenAlex, Bhawna Gupta has authored 47 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Immunology, 10 papers in Molecular Biology and 8 papers in Rheumatology. Recurrent topics in Bhawna Gupta's work include Immunotherapy and Immune Responses (15 papers), T-cell and B-cell Immunology (8 papers) and Immune Response and Inflammation (7 papers). Bhawna Gupta is often cited by papers focused on Immunotherapy and Immune Responses (15 papers), T-cell and B-cell Immunology (8 papers) and Immune Response and Inflammation (7 papers). Bhawna Gupta collaborates with scholars based in India, United States and Switzerland. Bhawna Gupta's co-authors include Sunil K. Raghav, Hasi R. Das, Charu Agrawal, Shweta Khanna, Vladimir P. Torchilin, Vladimir P. Torchilin, Tatiana S Levchenko, A. K. Tripathy, R. David Hawkins and Ved Chaturvedi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Bhawna Gupta

47 papers receiving 1.1k citations

Peers

Bhawna Gupta

IMMUN

RHEUM

ONCOL

BIOMA

Jalil Tavakkol‐Afshari Iran

Davoud Rostamzadeh Iran

Yaghoub Yazdani Iran

Divya Singh India

A.M.E. Nouri United Kingdom

Xingyu Liu China

Pablo Cesar Ortiz‐Lazareno Mexico

Ying Hu China

Jalil Tavakkol‐Afshari Iran

Bhawna Gupta

557 ×1.3

408 ×1.0

IMMUN

160 ×1.1

RHEUM

396 ×2.8

ONCOL

87 ×0.9

BIOMA

Citations per year, relative to Bhawna Gupta Bhawna Gupta (= 1×) peers Jalil Tavakkol‐Afshari

Countries citing papers authored by Bhawna Gupta

Since Specialization

Citations

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

Fields of papers citing papers by Bhawna Gupta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bhawna Gupta

This figure shows the co-authorship network connecting the top 25 collaborators of Bhawna Gupta. A scholar is included among the top collaborators of Bhawna Gupta 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 Bhawna Gupta. Bhawna Gupta 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

Sen, Kaushik, Abdul Ahad, Arup Ghosh, et al.. (2023). NCoR1 controls Mycobacterium tuberculosis growth in myeloid cells by regulating the AMPK-mTOR-TFEB axis. PLoS Biology. 21(8). e3002231–e3002231. 6 indexed citations

Tripathy, A. K., et al.. (2023). Lactobacillus rhamnosus reduces CD8+T cell mediated inflammation in patients with rheumatoid arthritis. Immunobiology. 228(4). 152415–152415. 14 indexed citations

Shauloff, Nitzan, et al.. (2023). Genistein carbon dots exhibit antioxidant and anti-inflammatory effects in vitro. Colloids and Surfaces B Biointerfaces. 223. 113173–113173. 29 indexed citations

Mishra, Gyan P., Kaushik Sen, Shuchi Smita, et al.. (2022). SMRT and NCoR1 fine-tune inflammatory versus tolerogenic balance in dendritic cells by differentially regulating STAT3 signaling. Frontiers in Immunology. 13. 910705–910705. 8 indexed citations

Sen, Kaushik, et al.. (2022). Epigenomics of conventional type-I dendritic cells depicted preferential control of TLR9 versus TLR3 response by NCoR1 through differential IRF3 activation. Cellular and Molecular Life Sciences. 79(8). 429–429. 3 indexed citations

Tripathy, A. K., et al.. (2022). Toll-like receptor-7 activation in CD8+ T cells modulates inflammatory mediators in patients with rheumatoid arthritis. Rheumatology International. 42(7). 1235–1245. 8 indexed citations

Tripathy, A. K., et al.. (2021). Increased Extracellular ATP in Plasma of Rheumatoid Arthritis Patients Activates CD8+T Cells. Archives of Medical Research. 52(4). 423–433. 9 indexed citations

Khanna, Shweta, et al.. (2020). Differential mitochondrial genome in patients with Rheumatoid Arthritis. Autoimmunity. 54(1). 1–12. 9 indexed citations

Khanna, Shweta, Prasanta Padhan, Ankit Jain, et al.. (2020). Altered mitochondrial proteome and functional dynamics in patients with rheumatoid arthritis. Mitochondrion. 54. 8–14. 16 indexed citations

10.

Smita, Shuchi, Sebastian M. Waszak, Soumen Basak, et al.. (2019). NCoR1: Putting the Brakes on the Dendritic Cell Immune Tolerance. iScience. 19. 996–1011. 18 indexed citations

11.

Smita, Shuchi, Arup Ghosh, Marianna M. Koga, et al.. (2018). Importance of EMT Factor ZEB1 in cDC1 “MutuDC Line” Mediated Induction of Th1 Immune Response. Frontiers in Immunology. 9. 2604–2604. 23 indexed citations

12.

Tripathy, A. K., Shweta Khanna, Prasanta Padhan, et al.. (2017). Direct recognition of LPS drive TLR4 expressing CD8+ T cell activation in patients with rheumatoid arthritis. Scientific Reports. 7(1). 933–933. 45 indexed citations

13.

Iancu, Emanuela M., Philippe O. Gannon, Julien Laurent, et al.. (2013). Persistence of EBV Antigen-Specific CD8 T Cell Clonotypes during Homeostatic Immune Reconstitution in Cancer Patients. PLoS ONE. 8(10). e78686–e78686. 14 indexed citations

14.

Gupta, Bhawna, Emanuela M. Iancu, Philippe O. Gannon, et al.. (2012). Simultaneous Coexpression of Memory-related and Effector-related Genes by Individual Human CD8 T Cells Depends on Antigen Specificity and Differentiation. Journal of Immunotherapy. 35(6). 488–501. 17 indexed citations

15.

Elo, Laura L., Soile Tuomela, Sunil K. Raghav, et al.. (2010). Genome-wide Profiling of Interleukin-4 and STAT6 Transcription Factor Regulation of Human Th2 Cell Programming. Immunity. 32(6). 852–862. 124 indexed citations

16.

Gupta, Bhawna, Sunil K. Raghav, & Hasi R. Das. (2008). S-Nitrosylation of mannose binding lectin regulates its functional activities and the formation of autoantibody in rheumatoid arthritis. Nitric Oxide. 18(4). 266–273. 10 indexed citations

17.

Raghav, Sunil K., Bhawna Gupta, Anju Shrivastava, & Hasi R. Das. (2007). Inhibition of lipopolysaccharide-inducible nitric oxide synthase and IL-1β through suppression of NF-κB activation by 3-(1′-1′-dimethyl-allyl)-6-hydroxy-7-methoxy-coumarin isolated from Ruta graveolens L.. European Journal of Pharmacology. 560(1). 69–80. 43 indexed citations

18.

Raghav, Sunil K., Bhawna Gupta, Charu Agrawal, Ved Chaturvedi, & Hasi R. Das. (2006). Expression of TNF‐α and Related Signaling Molecules in the Peripheral Blood Mononuclear Cells of Rheumatoid Arthritis Patients. Mediators of Inflammation. 2006(1). 12682–12682. 32 indexed citations

19.

Raghav, Sunil K., et al.. (2005). Anti-inflammatory effect of Ruta graveolens L. in murine macrophage cells. Journal of Ethnopharmacology. 104(1-2). 234–239. 107 indexed citations

20.

Gupta, Bhawna, Charu Agrawal, Sunil K. Raghav, et al.. (2005). Association of mannose-binding lectin gene (MBL2) polymorphisms with rheumatoid arthritis in an Indian cohort of case-control samples. Journal of Human Genetics. 50(11). 583–591. 26 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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