Tapasya Srivastava

799 total citations
33 papers, 597 citations indexed

About

Tapasya Srivastava is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Tapasya Srivastava has authored 33 papers receiving a total of 597 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 10 papers in Cancer Research and 3 papers in Surgery. Recurrent topics in Tapasya Srivastava's work include Cancer, Hypoxia, and Metabolism (4 papers), Epigenetics and DNA Methylation (4 papers) and RNA modifications and cancer (4 papers). Tapasya Srivastava is often cited by papers focused on Cancer, Hypoxia, and Metabolism (4 papers), Epigenetics and DNA Methylation (4 papers) and RNA modifications and cancer (4 papers). Tapasya Srivastava collaborates with scholars based in India, United States and Hungary. Tapasya Srivastava's co-authors include Subrata Sinha, Parthaprasad Chattopadhyay, Kamal Datta, Prabhjot Kaur, Shivani Arora Mittal, Manchikatla Venkat Rajam, Gunjan Tyagi, C. M. Kishtawal, Shikha Dhiman and Prabhash Mishra and has published in prestigious journals such as Cancer Research, Journal of Bone and Joint Surgery and Analytical Biochemistry.

In The Last Decade

Tapasya Srivastava

33 papers receiving 581 citations

Peers

Tapasya Srivastava

ONCOL

PFM

Katrin Eckhardt Switzerland

Matthew Solomonson Canada

Shuang Yan China

Angela Maria Di Francesco Italy

Thaned Kangsamaksin Thailand

Jackie Thorburn United States

Suvajit Sen United States

Ming Shang China

Shanshan Jiang China

Xinping Luo China

Katrin Eckhardt Switzerland

Tapasya Srivastava

505 ×1.5

149 ×1.1

82 ×0.9

ONCOL

69 ×1.5

27 ×0.6

PFM

Citations per year, relative to Tapasya Srivastava Tapasya Srivastava (= 1×) peers Katrin Eckhardt

Countries citing papers authored by Tapasya Srivastava

Since Specialization

Citations

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

Fields of papers citing papers by Tapasya Srivastava

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tapasya Srivastava

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

Jaya, T., Sachin Kumar, Shweta Kumari, et al.. (2025). MicroRNAs in exhaled breath Condensate: Novel non-invasive biomarkers for tuberculosis diagnosis. Tuberculosis. 154. 102670–102670. 1 indexed citations

Tripathi, S. C., et al.. (2024). Targeted inhibition of NRF2 reduces the invasive and metastatic ability of HIP1 depleted lung cancer cells. Biochemical and Biophysical Research Communications. 733. 150676–150676. 1 indexed citations

Jain, Deepali, et al.. (2022). When “No-Smoking” is not enough: Hypoxia and nicotine acetylcholine receptor signaling may drive lung adenocarcinoma progression in never-smokers. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1870(2). 119302–119302. 1 indexed citations

Sharma, Lokesh Kumar, et al.. (2022). SNP rs9387478 at ROS1-DCBLD1 Locus is Significantly Associated with Lung Cancer Risk and Poor Survival in Indian Population. Asian Pacific Journal of Cancer Prevention. 23(10). 3553–3561. 2 indexed citations

Srivastava, Tapasya, et al.. (2021). Scouting for common genes in the heterogenous hypoxic tumor microenvironment and their validation in glioblastoma. 3 Biotech. 11(10). 451–451. 5 indexed citations

Deswal, Deepa, et al.. (2021). Exploration of novel TOSMIC tethered imidazo[1,2‐a]pyridine compounds for the development of potential antifungal drug candidate. Drug Development Research. 83(2). 525–543. 9 indexed citations

Tyagi, Gunjan, et al.. (2020). Allicin Overcomes Hypoxia Mediated Cisplatin Resistance in Lung Cancer Cells through ROS Mediated Cell Death Pathway and by Suppressing Hypoxia Inducible Factors.. Cellular Physiology and Biochemistry. 54(4). 748–766. 38 indexed citations

Singh, Priyanka, Prabhjot Kaur, Tapasya Srivastava, et al.. (2018). Inhibin Is a Novel Paracrine Factor for Tumor Angiogenesis and Metastasis. Cancer Research. 78(11). 2978–2989. 30 indexed citations

Kaur, Prabhjot, et al.. (2018). Single-wall carbon nanotube based electrochemical immunoassay for leukemia detection. Analytical Biochemistry. 557. 111–119. 26 indexed citations

10.

Dhiman, Shikha, et al.. (2016). Transition metal oxide nanoparticles are effective in inhibiting lung cancer cell survival in the hypoxic tumor microenvironment. Chemico-Biological Interactions. 254. 221–230. 36 indexed citations

11.

Mittal, Shivani Arora, et al.. (2015). Recent advances in targeted therapy for glioblastoma. Expert Review of Neurotherapeutics. 15(8). 935–946. 37 indexed citations

12.

Tyagi, Gunjan, et al.. (2013). Nucleic acid binding properties of allicin: Spectroscopic analysis and estimation of anti-tumor potential. Biochimica et Biophysica Acta (BBA) - General Subjects. 1840(1). 350–356. 26 indexed citations

13.

Jha, Prerana, Shipra Agarwal, Pankaj Pathak, et al.. (2010). Heterozygosity status of 1p and 19q and its correlation with p53 protein expression and EGFR amplification in patients with astrocytic tumors: novel series from India. Cancer Genetics and Cytogenetics. 198(2). 126–134. 7 indexed citations

14.

Chosdol, Kunzang, Anjan Misra, Sachin Puri, et al.. (2009). Frequent loss of heterozygosity and altered expression of the candidate tumor suppressor gene 'FAT' in human astrocytic tumors. BMC Cancer. 9(1). 5–5. 33 indexed citations

15.

Pal, Arnab, et al.. (2009). Aberrant methylation and associated transcriptional mobilization of Alu elements contributes to genomic instability in hypoxia. Journal of Cellular and Molecular Medicine. 14(11). 2646–2654. 35 indexed citations

16.

Srivastava, Tapasya, et al.. (2006). Frequent loss of heterozygosity encompassing the hMLH1 locus in low grade astrocytic tumors. Journal of Neuro-Oncology. 81(3). 249–255. 4 indexed citations

17.

Srivastava, Tapasya, et al.. (2005). Inter-alu PCR detects high frequency of genetic alterations in glioma cells exposed to sub-lethal cisplatin. International Journal of Cancer. 117(4). 683–689. 8 indexed citations

18.

Srivastava, Tapasya, Parthaprasad Chattopadhyay, Ashok Kumar Mahapatra, Chitra Sarkar, & Subrata Sinha. (2004). Increased hMSH2 Protein Expression in Glioblastoma Multiforme. Journal of Neuro-Oncology. 66(1-2). 51–57. 18 indexed citations

19.

Datta, Kamal, et al.. (2003). Hydroxylamine potentiates the effect of low dose hydrogen peroxide in glioma cells independent of p53. The International Journal of Biochemistry & Cell Biology. 35(12). 1639–1644. 1 indexed citations

20.

Datta, Kamal, et al.. (2002). p53 dependent apoptosis in glioma cell lines in response to hydrogen peroxide induced oxidative stress. The International Journal of Biochemistry & Cell Biology. 34(2). 148–157. 90 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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