Bhaskar Dutta

1.0k total citations
25 papers, 596 citations indexed

About

Bhaskar Dutta is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Bhaskar Dutta has authored 25 papers receiving a total of 596 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Immunology and 5 papers in Cancer Research. Recurrent topics in Bhaskar Dutta's work include Immune Response and Inflammation (8 papers), Bioinformatics and Genomic Networks (5 papers) and Immune cells in cancer (4 papers). Bhaskar Dutta is often cited by papers focused on Immune Response and Inflammation (8 papers), Bioinformatics and Genomic Networks (5 papers) and Immune cells in cancer (4 papers). Bhaskar Dutta collaborates with scholars based in United States, United Kingdom and Australia. Bhaskar Dutta's co-authors include Iain D. C. Fraser, Rachel A. Gottschalk, Ronald N. Germain, Jaques Reifman, Anders Wallqvist, Gábor Balázsi, Bin Lin, Parizad Torabi‐Parizi, Naeha Subramanian and Diogo F. T. Veiga and has published in prestigious journals such as Nature Communications, The Journal of Immunology and PLoS ONE.

In The Last Decade

Bhaskar Dutta

23 papers receiving 580 citations

Peers

Bhaskar Dutta

IMMUN

ONCOL

EPIDE

Emine Guven‐Maiorov United States

Mehdi Bouhaddou United States

Stephen C. Kales United States

Xiaoliang Yu China

Xinhao Zhao China

Jitendra Kumar India

Adiratna Mat Ripen Malaysia

Annika Sanfridson United States

Kentaro Inoue Japan

Emine Guven‐Maiorov United States

Bhaskar Dutta

309 ×0.9

203 ×1.0

IMMUN

102 ×1.3

84 ×1.4

ONCOL

82 ×1.6

EPIDE

Citations per year, relative to Bhaskar Dutta Bhaskar Dutta (= 1×) peers Emine Guven‐Maiorov

Countries citing papers authored by Bhaskar Dutta

Since Specialization

Citations

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

Fields of papers citing papers by Bhaskar Dutta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bhaskar Dutta

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

Castro, Mario, et al.. (2024). iPREDICT: proof-of-concept study to develop a predictive model of changes in asthma control. Therapeutic Advances in Respiratory Disease. 18. 2693845514–2693845514. 3 indexed citations

Castro, Mario, et al.. (2024). iPREDICT: Characterization of Asthma Triggers and Selection of Digital Technology to Predict Changes in Disease Control. Journal of Asthma and Allergy. Volume 17. 653–666.

Gottschalk, Rachel A., Michael G. Dorrington, Bhaskar Dutta, et al.. (2019). IFN-mediated negative feedback supports bacteria class-specific macrophage inflammatory responses. eLife. 8. 17 indexed citations

Oh, Kyu‐Seon, Rachel A. Gottschalk, Jing Sun, et al.. (2018). Dual Roles for Ikaros in Regulation of Macrophage Chromatin State and Inflammatory Gene Expression. The Journal of Immunology. 201(2). 757–771. 27 indexed citations

Sun, Jing, et al.. (2017). Genome-wide siRNA screen of genes regulating the LPS-induced TNF-α response in human macrophages. Scientific Data. 4(1). 170007–170007. 11 indexed citations

Lin, Bin, Bhaskar Dutta, & Iain D. C. Fraser. (2017). Systematic Investigation of Multi-TLR Sensing Identifies Regulators of Sustained Gene Activation in Macrophages. Cell Systems. 5(1). 25–37.e3. 39 indexed citations

Li, Ning, Samuel G. Katz, Bhaskar Dutta, et al.. (2017). Genome-wide siRNA screen of genes regulating the LPS-induced NF-κB and TNF-α responses in mouse macrophages. Scientific Data. 4(1). 170008–170008. 6 indexed citations

Manes, Nathan P., Rachel A. Gottschalk, Bhaskar Dutta, et al.. (2017). Proteome and Secretome Analysis Reveals Differential Post-transcriptional Regulation of Toll-like Receptor Responses. Molecular & Cellular Proteomics. 16(4). S172–S186. 29 indexed citations

Gottschalk, Rachel A., Andrew J. Martins, B. Angermann, et al.. (2016). Distinct NF-κB and MAPK Activation Thresholds Uncouple Steady-State Microbe Sensing from Anti-pathogen Inflammatory Responses. Cell Systems. 2(6). 378–390. 81 indexed citations

10.

Dutta, Bhaskar, Alaleh Azhir, Yongjian Guo, et al.. (2016). An interactive web-based application for Comprehensive Analysis of RNAi-screen Data. Nature Communications. 7(1). 10578–10578. 9 indexed citations

11.

Sun, Jing, Ning Li, Bhaskar Dutta, et al.. (2016). Comprehensive RNAi-based screening of human and mouse TLR pathways identifies species-specific preferences in signaling protein use. Science Signaling. 9(409). ra3–ra3. 63 indexed citations

12.

Subramanian, Naeha, Parizad Torabi‐Parizi, Rachel A. Gottschalk, Ronald N. Germain, & Bhaskar Dutta. (2015). Network representations of immune system complexity. WIREs Systems Biology and Medicine. 7(1). 13–38. 60 indexed citations

13.

Yu, Chenggang, Angela M. Boutté, Xueping Yu, et al.. (2014). A systems biology strategy to identify molecular mechanisms of action and protein indicators of traumatic brain injury. Journal of Neuroscience Research. 93(2). 199–214. 14 indexed citations

14.

Dutta, Bhaskar, Anders Wallqvist, & Jaques Reifman. (2012). PathNet: a tool for pathway analysis using topological information. PubMed. 7(1). 10–10. 57 indexed citations

15.

Claerhout, Sofie, Bhaskar Dutta, Wouter Bossuyt, et al.. (2012). Abortive Autophagy Induces Endoplasmic Reticulum Stress and Cell Death in Cancer Cells. PLoS ONE. 7(6). e39400–e39400. 31 indexed citations

16.

Dutta, Bhaskar, Lajos Pusztai, Yuan Qi, et al.. (2012). A network-based, integrative study to identify core biological pathways that drive breast cancer clinical subtypes. British Journal of Cancer. 106(6). 1107–1116. 37 indexed citations

17.

Lu, Yiling, Mathias Müller, David M. Smith, et al.. (2011). Kinome siRNA-phosphoproteomic screen identifies networks regulating AKT signaling. Oncogene. 30(45). 4567–4577. 57 indexed citations

18.

Veiga, Diogo F. T., Bhaskar Dutta, & Gábor Balázsi. (2009). Network inference and network response identification: moving genome-scale data to the next level of biological discovery. Molecular BioSystems. 6(3). 469–480. 33 indexed citations

19.

Dutta, Bhaskar, Robert Snyder, & Maria I. Klapa. (2007). Significance analysis of time‐series transcriptomic data: A methodology that enables the identification and further exploration of the differentially expressed genes at each time‐point. Biotechnology and Bioengineering. 98(3). 668–678. 4 indexed citations

20.

Dutta, Bhaskar, et al.. (1965). Kartagener's syndrome associated with arrested spermatogenesis and sterility.. PubMed. 45(11). 608–10. 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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