Shiny Nair

1.5k total citations
19 papers, 1.2k citations indexed

About

Shiny Nair is a scholar working on Immunology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Shiny Nair has authored 19 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 6 papers in Infectious Diseases and 6 papers in Molecular Biology. Recurrent topics in Shiny Nair's work include Tuberculosis Research and Epidemiology (6 papers), Lysosomal Storage Disorders Research (6 papers) and Immune Cell Function and Interaction (5 papers). Shiny Nair is often cited by papers focused on Tuberculosis Research and Epidemiology (6 papers), Lysosomal Storage Disorders Research (6 papers) and Immune Cell Function and Interaction (5 papers). Shiny Nair collaborates with scholars based in United States, India and Czechia. Shiny Nair's co-authors include Madhav V. Dhodapkar, Sangita Mukhopadhyay, Chandra Sekhar Boddupalli, Pramod K. Mistry, Sudip Ghosh, Madhav V. Dhodapkar, Andrew R. Branagan, Jun Liu, Kavita M. Dhodapkar and Seyed E. Hasnain and has published in prestigious journals such as New England Journal of Medicine, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Shiny Nair

19 papers receiving 1.1k citations

Peers

Shiny Nair

IMMUN

EPIDE

ONCOL

Jeroen W. J. van Heijst Netherlands

Christelle Lenoir France

Suman Mitra United States

H Yagita Japan

Marco Lepore Switzerland

Dale R. Taylor United Kingdom

Sophie Allart France

Maureen A. McGargill United States

Susana Orozco United States

Lianxian Cui China

Jeroen W. J. van Heijst Netherlands

Shiny Nair

885 ×1.5

IMMUN

227 ×0.7

EPIDE

235 ×0.8

383 ×1.3

319 ×1.2

ONCOL

Citations per year, relative to Shiny Nair Shiny Nair (= 1×) peers Jeroen W. J. van Heijst

Countries citing papers authored by Shiny Nair

Since Specialization

Citations

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

Fields of papers citing papers by Shiny Nair

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiny Nair

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

All Works

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19 of 19 papers shown

Belinsky, Glenn S., Jiapeng Ruan, Nima Fattahi, et al.. (2025). Modeling bone marrow microenvironment and hematopoietic dysregulation in Gaucher disease through VavCre mediated Gba deletion. Human Molecular Genetics. 34(11). 952–966. 1 indexed citations

Boddupalli, Chandra Sekhar, Shiny Nair, Glenn S. Belinsky, et al.. (2022). Neuroinflammation in neuronopathic Gaucher disease: Role of microglia and NK cells, biomarkers, and response to substrate reduction therapy. eLife. 11. 33 indexed citations

Narayanan, Praveena, Shiny Nair, Manisha Balwani, Maricar Malinis, & Pramod K. Mistry. (2021). The clinical spectrum of SARS-CoV-2 infection in Gaucher disease: Effect of both a pandemic and a rare disease that disrupts the immune system. Molecular Genetics and Metabolism. 135(2). 115–121. 4 indexed citations

Nair, Shiny, Noffar Bar, Mina L. Xu, Madhav V. Dhodapkar, & Pramod K. Mistry. (2020). Glucosylsphingosine but not Saposin C, is the target antigen in Gaucher disease-associated gammopathy. Molecular Genetics and Metabolism. 129(4). 286–291. 32 indexed citations

Nair, Shiny & Madhav V. Dhodapkar. (2017). Natural Killer T Cells in Cancer Immunotherapy. Frontiers in Immunology. 8. 1178–1178. 174 indexed citations

Nair, Shiny, Andrew R. Branagan, Jun Liu, et al.. (2016). Clonal Immunoglobulin against Lysolipids in the Origin of Myeloma. New England Journal of Medicine. 374(6). 555–561. 143 indexed citations

Boddupalli, Chandra Sekhar, Shiny Nair, Simon M. Gray, et al.. (2016). ABC transporters and NR4A1 identify a quiescent subset of tissue-resident memory T cells. Journal of Clinical Investigation. 126(10). 3905–3916. 74 indexed citations

Nair, Shiny, Chandra Sekhar Boddupalli, Rakesh Verma, et al.. (2014). Type II NKT-TFH Cells Against Gaucher Lipids Regulate B Cell Immunity and Inflammation. Blood. 124(21). 755–755. 1 indexed citations

Nair, Shiny. (2014). Immunomodulatory Role of Mycobacterial PE/PPE Family of Proteins. Revista de Fomento Social. 80(5). 1055–1055. 3 indexed citations

10.

Nair, Shiny, Chandra Sekhar Boddupalli, Rakesh Verma, et al.. (2014). Type II NKT-TFH cells against Gaucher lipids regulate B-cell immunity and inflammation. Blood. 125(8). 1256–1271. 106 indexed citations

11.

Parveen, Nazia, et al.. (2013). Endocytosis of Mycobacterium tuberculosis Heat Shock Protein 60 Is Required to Induce Interleukin-10 Production in Macrophages*. Journal of Biological Chemistry. 288(34). 24956–24971. 44 indexed citations

12.

Richter, Joshua, Natalia Neparidze, Lin Zhang, et al.. (2012). Clinical regressions and broad immune activation following combination therapy targeting human NKT cells in myeloma. Blood. 121(3). 423–430. 141 indexed citations

13.

Mukhopadhyay, Sangita, Shiny Nair, & Sudip Ghosh. (2011). Pathogenesis in tuberculosis: transcriptomic approaches to unraveling virulence mechanisms and finding new drug targets. FEMS Microbiology Reviews. 36(2). 463–485. 55 indexed citations

14.

Nair, Shiny, et al.. (2011). The PPE18 Protein of Mycobacterium tuberculosis Inhibits NF-κB/rel–Mediated Proinflammatory Cytokine Production by Upregulating and Phosphorylating Suppressor of Cytokine Signaling 3 Protein. The Journal of Immunology. 186(9). 5413–5424. 78 indexed citations

15.

Alam, Kaiser, et al.. (2010). Glutathione-Redox Balance Regulates c-rel–Driven IL-12 Production in Macrophages: Possible Implications in Antituberculosis Immunotherapy. The Journal of Immunology. 184(6). 2918–2929. 43 indexed citations

16.

Nair, Shiny, Sudip Ghosh, Dhananjay Joshi, et al.. (2009). The PPE18 of Mycobacterium tuberculosis Interacts with TLR2 and Activates IL-10 Induction in Macrophage. The Journal of Immunology. 183(10). 6269–6281. 171 indexed citations

17.

Khan, Nooruddin, Kaiser Alam, Shiny Nair, et al.. (2008). Association of Strong Immune Responses to PPE Protein Rv1168c with Active Tuberculosis. Clinical and Vaccine Immunology. 15(6). 974–980. 41 indexed citations

18.

Mukhopadhyay, Sangita, Shiny Nair, & Seyed E. Hasnain. (2007). Nitric Oxide: Friendly Rivalry in Tuberculosis. Current Signal Transduction Therapy. 2(2). 121–128. 8 indexed citations

19.

Boddupalli, Chandra Sekhar, Sudip Ghosh, Shiny Nair, et al.. (2006). Nitric oxide inhibits interleukin-12 p40 through p38 MAPK-mediated regulation of calmodulin and c-rel. Free Radical Biology and Medicine. 42(5). 686–697. 10 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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