Nisha Tapryal

556 total citations
16 papers, 392 citations indexed

About

Nisha Tapryal is a scholar working on Molecular Biology, Nutrition and Dietetics and Hematology. According to data from OpenAlex, Nisha Tapryal has authored 16 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Nutrition and Dietetics and 3 papers in Hematology. Recurrent topics in Nisha Tapryal's work include Trace Elements in Health (5 papers), DNA Repair Mechanisms (4 papers) and Iron Metabolism and Disorders (3 papers). Nisha Tapryal is often cited by papers focused on Trace Elements in Health (5 papers), DNA Repair Mechanisms (4 papers) and Iron Metabolism and Disorders (3 papers). Nisha Tapryal collaborates with scholars based in United States, India and Canada. Nisha Tapryal's co-authors include Tapas K. Hazra, Chinmay K. Mukhopadhyay, Anirban Chakraborty, Altaf H. Sarker, Partha S. Sarkar, Dola Das, Raj K. Pandita, Nobuo Horikoshi, Tej K. Pandita and Paul L. Fox and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Nisha Tapryal

15 papers receiving 385 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nisha Tapryal United States 11 257 63 50 47 47 16 392
Angela Su United States 7 169 0.7× 48 0.8× 44 0.9× 39 0.8× 32 0.7× 11 277
Iris Kaiser Germany 10 207 0.8× 82 1.3× 61 1.2× 79 1.7× 28 0.6× 11 414
Agnieszka Styś Poland 9 134 0.5× 104 1.7× 18 0.4× 158 3.4× 23 0.5× 16 358
Soo Im Kang South Korea 9 186 0.7× 42 0.7× 41 0.8× 11 0.2× 48 1.0× 11 338
Isabella Gosch Germany 5 242 0.9× 63 1.0× 24 0.5× 53 1.1× 17 0.4× 6 381
Yiqun Huang China 15 315 1.2× 29 0.5× 28 0.6× 47 1.0× 94 2.0× 42 426
Fabiana Zolea Italy 14 198 0.8× 21 0.3× 63 1.3× 54 1.1× 159 3.4× 14 436
Julien H. Park Germany 11 239 0.9× 77 1.2× 17 0.3× 21 0.4× 11 0.2× 28 391
Juha Okkeri Finland 10 327 1.3× 72 1.1× 132 2.6× 22 0.5× 22 0.5× 11 453
Simon Lehle Germany 7 181 0.7× 15 0.2× 32 0.6× 20 0.4× 55 1.2× 9 320

Countries citing papers authored by Nisha Tapryal

Since Specialization
Citations

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

Fields of papers citing papers by Nisha Tapryal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nisha Tapryal

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

All Works

16 of 16 papers shown
1.
Chakraborty, Anirban, Santi M. Mandal, Rajam S. Mani, et al.. (2026). F2,6BP restores mitochondrial genome integrity in Huntington’s disease. Journal of Biological Chemistry. 302(3). 111156–111156.
2.
Pan, Lang, Ke Wang, Xu Zheng, et al.. (2023). Nei-like DNA glycosylase 2 selectively antagonizes interferon-β expression upon respiratory syncytial virus infection. Journal of Biological Chemistry. 299(8). 105028–105028. 5 indexed citations
3.
Chakraborty, Anirban, Nisha Tapryal, Altaf H. Sarker, et al.. (2023). Human DNA polymerase η promotes RNA-templated error-free repair of DNA double-strand breaks. Journal of Biological Chemistry. 299(3). 102991–102991. 18 indexed citations
4.
Jamaluddin, Mohammad, Aline Haas de Mello, Nisha Tapryal, et al.. (2022). NRF2 Regulates Cystathionine Gamma-Lyase Expression and Activity in Primary Airway Epithelial Cells Infected with Respiratory Syncytial Virus. Antioxidants. 11(8). 1582–1582. 9 indexed citations
5.
Tapryal, Nisha, Anirban Chakraborty, Koa Hosoki, et al.. (2021). Intrapulmonary administration of purified NEIL2 abrogates NF-κB–mediated inflammation. Journal of Biological Chemistry. 296. 100723–100723. 14 indexed citations
6.
Chakraborty, Anirban, et al.. (2021). Transcription coupled base excision repair in mammalian cells: So little is known and so much to uncover. DNA repair. 107. 103204–103204. 23 indexed citations
7.
Chakraborty, Anirban, Nisha Tapryal, Joy Mitra, et al.. (2020). Deficiency in classical nonhomologous end-joining–mediated repair of transcribed genes is linked to SCA3 pathogenesis. Proceedings of the National Academy of Sciences. 117(14). 8154–8165. 30 indexed citations
8.
Hosoki, Koa, Nisha Tapryal, Anirban Chakraborty, Tapas K. Hazra, & Sanjiv Sur. (2019). NEIL2 protects against cat dander-induced eosinophilic airway inflammation. Journal of Allergy and Clinical Immunology. 143(2). AB291–AB291. 1 indexed citations
9.
Chakraborty, Anirban, Nisha Tapryal, Nobuo Horikoshi, et al.. (2016). Classical non-homologous end-joining pathway utilizes nascent RNA for error-free double-strand break repair of transcribed genes. Nature Communications. 7(1). 13049–13049. 129 indexed citations
10.
Tapryal, Nisha, et al.. (2015). Catecholamine Stress Hormones Regulate Cellular Iron Homeostasis by a Posttranscriptional Mechanism Mediated by Iron Regulatory Protein. Journal of Biological Chemistry. 290(12). 7634–7646. 18 indexed citations
11.
Biswas, Sudipta, Reshmi Mukherjee, Nisha Tapryal, Amit Kumar Singh, & Chinmay K. Mukhopadhyay. (2013). Insulin Regulates Hypoxia-Inducible Factor-1α Transcription by Reactive Oxygen Species Sensitive Activation of Sp1 in 3T3-L1 Preadipocyte. PLoS ONE. 8(4). e62128–e62128. 21 indexed citations
12.
Biswas, Sudipta, Nisha Tapryal, Reshmi Mukherjee, Rajiv Kumar, & Chinmay K. Mukhopadhyay. (2012). Insulin promotes iron uptake in human hepatic cell by regulating transferrin receptor-1 transcription mediated by hypoxia inducible factor-1. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1832(2). 293–301. 36 indexed citations
13.
Mukhopadhyay, Chinmay K., Som Dev, Nisha Tapryal, Reshmi Mukherjee, & Chaitali Mukhopadhyay. (2011). ROLE OF REDOX AND CERULOPLASMIN IN IRON DEPOSITION IN GLIAL CELLS: IMPLICATION IN NEURODEGENERATIVE DAMAGES. 2(6). 1–8. 3 indexed citations
14.
Tapryal, Nisha, Chaitali Mukhopadhyay, Manoj K. Mishra, et al.. (2010). Glutathione synthesis inhibitor butathione sulfoximine regulates ceruloplasmin by dual but opposite mechanism: Implication in hepatic iron overload. Free Radical Biology and Medicine. 48(11). 1492–1500. 10 indexed citations
15.
Tapryal, Nisha, et al.. (2008). Reactive Oxygen Species Regulate Ceruloplasmin by a Novel mRNA Decay Mechanism Involving Its 3′-Untranslated Region. Journal of Biological Chemistry. 284(3). 1873–1883. 43 indexed citations
16.
Das, Dola, Nisha Tapryal, Shyamal K. Goswami, Paul L. Fox, & Chinmay K. Mukhopadhyay. (2007). Regulation of ceruloplasmin in human hepatic cells by redox active copper: identification of a novel AP-1 site in the ceruloplasmin gene. Biochemical Journal. 402(1). 135–141. 32 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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