Sambit K. Nanda

1.4k total citations
25 papers, 983 citations indexed

About

Sambit K. Nanda is a scholar working on Immunology, Molecular Biology and Cancer Research. According to data from OpenAlex, Sambit K. Nanda has authored 25 papers receiving a total of 983 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Immunology, 12 papers in Molecular Biology and 7 papers in Cancer Research. Recurrent topics in Sambit K. Nanda's work include interferon and immune responses (10 papers), NF-κB Signaling Pathways (7 papers) and Virology and Viral Diseases (5 papers). Sambit K. Nanda is often cited by papers focused on interferon and immune responses (10 papers), NF-κB Signaling Pathways (7 papers) and Virology and Viral Diseases (5 papers). Sambit K. Nanda collaborates with scholars based in United Kingdom, United States and Canada. Sambit K. Nanda's co-authors include Philip Cohen, Michael D. Baron, J. Simon C. Arthur, Kristopher Clark, Keng-Mean Lin, Ty D. Troutman, Wei Hu, Xiaoxia Li, Chandrashekhar Pasare and Michelle Jennings and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.

In The Last Decade

Sambit K. Nanda

24 papers receiving 961 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sambit K. Nanda United Kingdom 15 523 518 226 206 102 25 983
Bennett O. V. Shum Australia 8 536 1.0× 617 1.2× 200 0.9× 81 0.4× 94 0.9× 13 1.1k
Congwen Wei China 19 616 1.2× 554 1.1× 320 1.4× 131 0.6× 132 1.3× 36 1.2k
Shin‐ichi Tsukumo Japan 18 480 0.9× 814 1.6× 145 0.6× 129 0.6× 81 0.8× 29 1.4k
Lauri D. Aicher United States 15 669 1.3× 429 0.8× 498 2.2× 186 0.9× 149 1.5× 20 1.5k
Jay Reddy United States 20 305 0.6× 425 0.8× 162 0.7× 86 0.4× 165 1.6× 62 1.1k
Mathias A.E. Frevel United States 8 553 1.1× 653 1.3× 186 0.8× 147 0.7× 99 1.0× 8 1.3k
Sergio Covarrubias United States 14 780 1.5× 299 0.6× 237 1.0× 456 2.2× 81 0.8× 23 1.2k
Riku Fagerlund Finland 15 695 1.3× 650 1.3× 374 1.7× 310 1.5× 199 2.0× 23 1.5k
Pradeep B. J. Reddy United States 15 280 0.5× 514 1.0× 238 1.1× 110 0.5× 60 0.6× 28 955
Ian Gaël Rodrigue‐Gervais Canada 11 571 1.1× 356 0.7× 199 0.9× 86 0.4× 91 0.9× 13 880

Countries citing papers authored by Sambit K. Nanda

Since Specialization
Citations

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

Fields of papers citing papers by Sambit K. Nanda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sambit K. Nanda. 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 Sambit K. Nanda. The network helps show where Sambit K. Nanda may publish in the future.

Co-authorship network of co-authors of Sambit K. Nanda

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

All Works

20 of 20 papers shown
1.
Nanda, Sambit K., et al.. (2023). Pacritinib abrogates the lupus phenotype in ABIN1[D485N] mice. Lupus Science & Medicine. 10(1). e000822–e000822.
2.
Nanda, Sambit K., Stefan Vollmer, & Ana B. Pérez‐Oliva. (2022). Posttranslational Regulation of Inflammasomes, Its Potential as Biomarkers and in the Identification of Novel Drugs Targets. Frontiers in Cell and Developmental Biology. 10. 887533–887533. 8 indexed citations
3.
Bennett, Kyle J.M., Sambit K. Nanda, Sam Strickson, et al.. (2022). Why are the phenotypes of TRAF6 knock-in and TRAF6 knock-out mice so different?. PLoS ONE. 17(2). e0263151–e0263151. 2 indexed citations
4.
5.
Nanda, Sambit K., et al.. (2021). IKKβ is required for the formation of the NLRP3 inflammasome. EMBO Reports. 22(10). e50743–e50743. 29 indexed citations
6.
Nanda, Sambit K., et al.. (2021). Prevention and partial reversion of the lupus phenotype in ABIN1[D485N] mice by an IRAK4 inhibitor. Lupus Science & Medicine. 8(1). e000573–e000573. 4 indexed citations
7.
Nanda, Sambit K., Francesco Marchesi, Marek Gierliński, et al.. (2019). Distinct signals and immune cells drive liver pathology and glomerulonephritis in ABIN1[D485N] mice. Life Science Alliance. 2(6). e201900533–e201900533. 13 indexed citations
8.
Cohen, Philip, Ian R. Kelsall, Sambit K. Nanda, & Jiazhen Zhang. (2019). HOIL-1, an atypical E3 ligase that controls MyD88 signalling by forming ester bonds between ubiquitin and components of the Myddosome. Advances in Biological Regulation. 75. 100666–100666. 14 indexed citations
9.
10.
Akbar, Naveed, Sambit K. Nanda, J. J. F. Belch, Philip Cohen, & Faisel Khan. (2015). An important role for A20-binding inhibitor of nuclear factor-kB-1 (ABIN1) in inflammation-mediated endothelial dysfunction: an in vivo study in ABIN1 (D485N) mice. Arthritis Research & Therapy. 17(1). 22–22. 9 indexed citations
11.
Malik, Nazma, Stefan Vollmer, Sambit K. Nanda, et al.. (2015). Suppression of interferon β gene transcription by inhibitors of bromodomain and extra-terminal (BET) family members. Biochemical Journal. 468(3). 363–372. 10 indexed citations
12.
Lin, Keng-Mean, Wei Hu, Ty D. Troutman, et al.. (2013). IRAK-1 bypasses priming and directly links TLRs to rapid NLRP3 inflammasome activation. Proceedings of the National Academy of Sciences. 111(2). 775–780. 233 indexed citations
13.
Ordureau, Alban, Karine Enesa, Sambit K. Nanda, et al.. (2013). DEAF1 Is a Pellino1-interacting Protein Required for Interferon Production by Sendai Virus and Double-stranded RNA*. Journal of Biological Chemistry. 288(34). 24569–24580. 24 indexed citations
14.
Chinnakannan, Senthil, Sambit K. Nanda, & Michael D. Baron. (2013). Morbillivirus V Proteins Exhibit Multiple Mechanisms to Block Type 1 and Type 2 Interferon Signalling Pathways. PLoS ONE. 8(2). e57063–e57063. 59 indexed citations
15.
Clark, Kristopher, Sambit K. Nanda, & Philip Cohen. (2013). Molecular control of the NEMO family of ubiquitin-binding proteins. Nature Reviews Molecular Cell Biology. 14(10). 673–685. 95 indexed citations
16.
Pauls, Eduardo, Sambit K. Nanda, Hilary A. Smith, et al.. (2013). Two Phases of Inflammatory Mediator Production Defined by the Study of IRAK2 and IRAK1 Knock-in Mice. The Journal of Immunology. 191(5). 2717–2730. 77 indexed citations
17.
Nanda, Sambit K., et al.. (2009). Infection of bovine dendritic cells by rinderpest or measles viruses induces different changes in host transcription. Virology. 395(2). 223–231. 11 indexed citations
18.
Nanda, Sambit K., et al.. (2008). The rinderpest virus non-structural C protein blocks the induction of type 1 interferon. Virology. 385(1). 134–142. 34 indexed citations
19.
Nanda, Sambit K. & Michael D. Baron. (2006). Rinderpest Virus Blocks Type I and Type II Interferon Action: Role of Structural and Nonstructural Proteins. Journal of Virology. 80(15). 7555–7568. 57 indexed citations
20.
Nanda, Sambit K., et al.. (1982). Effects of benoxaprofen on the inflammatory, humoral and cellular components of type II collagen-induced arthritis in rats.. PubMed. 5(2). 170–4. 4 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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