Ritushree Kukreti

2.2k total citations
70 papers, 1.5k citations indexed

About

Ritushree Kukreti is a scholar working on Molecular Biology, Psychiatry and Mental health and Oncology. According to data from OpenAlex, Ritushree Kukreti has authored 70 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 21 papers in Psychiatry and Mental health and 20 papers in Oncology. Recurrent topics in Ritushree Kukreti's work include Pharmacological Effects and Toxicity Studies (18 papers), Drug Transport and Resistance Mechanisms (17 papers) and Epilepsy research and treatment (16 papers). Ritushree Kukreti is often cited by papers focused on Pharmacological Effects and Toxicity Studies (18 papers), Drug Transport and Resistance Mechanisms (17 papers) and Epilepsy research and treatment (16 papers). Ritushree Kukreti collaborates with scholars based in India, Italy and Germany. Ritushree Kukreti's co-authors include Sandeep Grover, Samiksha Kukal, Chitra Rawat, Luciano Saso, Suman Kushwaha, Puneet Talwar, Shrikant Kukreti, Rachna Agarwal, Ujjwal R. Dahiya and Neha Kanojia and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Ritushree Kukreti

65 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ritushree Kukreti India 25 464 317 291 278 249 70 1.5k
Lin He China 24 441 1.0× 335 1.1× 107 0.4× 269 1.0× 118 0.5× 67 1.5k
Ai Tsuji Japan 21 608 1.3× 102 0.3× 184 0.6× 245 0.9× 511 2.1× 74 1.6k
Regina Rodrigo Spain 29 869 1.9× 254 0.8× 384 1.3× 138 0.5× 152 0.6× 66 2.6k
Takashi Okura Japan 22 336 0.7× 138 0.4× 114 0.4× 250 0.9× 450 1.8× 64 1.3k
Shinji Kondo Japan 21 574 1.2× 311 1.0× 169 0.6× 148 0.5× 64 0.3× 57 1.5k
Corbin Bachmeier United States 31 830 1.8× 172 0.5× 609 2.1× 210 0.8× 295 1.2× 58 2.5k
Elizabeth M. Laurenzana United States 23 756 1.6× 123 0.4× 134 0.5× 124 0.4× 132 0.5× 40 2.1k
Mariapia Vairetti Italy 27 857 1.8× 79 0.2× 315 1.1× 101 0.4× 160 0.6× 108 2.5k
Chang‐Shin Park South Korea 22 410 0.9× 108 0.3× 354 1.2× 95 0.3× 188 0.8× 85 1.6k

Countries citing papers authored by Ritushree Kukreti

Since Specialization
Citations

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

Fields of papers citing papers by Ritushree Kukreti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ritushree Kukreti

This figure shows the co-authorship network connecting the top 25 collaborators of Ritushree Kukreti. A scholar is included among the top collaborators of Ritushree Kukreti 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 Ritushree Kukreti. Ritushree Kukreti 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.
Mishra, Manish, et al.. (2025). The Impact of P‐Glycoprotein on CNS Drug Efflux and Variability in Response. Journal of Biochemical and Molecular Toxicology. 39(3). e70190–e70190. 2 indexed citations
2.
3.
Ramachandran, Srinivasan, et al.. (2025). Genome‐Wide Association Study Reveals Genetic Architecture of Common Epilepsies. Clinical Genetics. 108(1). 22–32.
4.
5.
Kutum, Rintu, Jyoti Yadav, Mamta Sood, et al.. (2023). Genome-wide transcriptomic and biochemical profiling of major depressive disorder: Unravelling association with susceptibility, severity, and antidepressant response. Genomics. 116(1). 110772–110772. 3 indexed citations
6.
Rawat, Chitra, Rintu Kutum, Samiksha Kukal, et al.. (2020). Downregulation of peripheral PTGS2/COX-2 in response to valproate treatment in patients with epilepsy. Scientific Reports. 10(1). 2546–2546. 25 indexed citations
7.
Kaur, Harpreet, Neha Kanojia, Mamta Sood, et al.. (2019). Systems Approach to Identify Common Genes and Pathways Associated with Response to Selective Serotonin Reuptake Inhibitors and Major Depression Risk. International Journal of Molecular Sciences. 20(8). 1993–1993. 14 indexed citations
8.
Rawat, Chitra, Suman Kushwaha, Achal Kumar Srivastava, & Ritushree Kukreti. (2019). Peripheral blood gene expression signatures associated with epilepsy and its etiologic classification. Genomics. 112(1). 218–224. 28 indexed citations
9.
Gopinath, K., et al.. (2019). Computational and Pharmacogenomic Insights on Hypertension Treatment: Rational Drug Design and Optimization Strategies. Current Drug Targets. 21(1). 18–33. 11 indexed citations
10.
Rawat, Chitra, Samiksha Kukal, Ujjwal R. Dahiya, & Ritushree Kukreti. (2019). Cyclooxygenase-2 (COX-2) inhibitors: future therapeutic strategies for epilepsy management. Journal of Neuroinflammation. 16(1). 197–197. 118 indexed citations
11.
Rain, Manjari, et al.. (2018). Elevated Vasodilatory Cyclases and Shorter Telomere Length Contribute to High-Altitude Pulmonary Edema. High Altitude Medicine & Biology. 19(1). 60–68. 1 indexed citations
12.
Singh, Khuraijam Dhanachandra, Neha Kanojia, Chitra Rawat, et al.. (2017). Exploring the Carbamazepine Interaction with Human Pregnane X Receptor and Effect on ABCC2 Using in Vitro and in Silico Approach. Pharmaceutical Research. 34(7). 1444–1458. 12 indexed citations
13.
Talwar, Puneet, et al.. (2017). Multifactorial Analysis of a Biomarker Pool for Alzheimer Disease Risk in a North Indian Population. Dementia and Geriatric Cognitive Disorders. 44(1-2). 25–34. 21 indexed citations
14.
Chaudhary, Swati, Mahima Kaushik, Ritushree Kukreti, & Shrikant Kukreti. (2017). Structural switch from a multistranded G-quadruplex to single strands as a consequence of point mutation in the promoter of the human GRIN1 gene. Molecular BioSystems. 13(9). 1805–1816. 11 indexed citations
15.
16.
Talwar, Puneet, Yumnam Silla, Sandeep Grover, et al.. (2014). Genomic convergence and network analysis approach to identify candidate genes in Alzheimer's disease. BMC Genomics. 15(1). 199–199. 78 indexed citations
17.
Baghel, Ruchi, Ajay Jajodia, Sandeep Grover, & Ritushree Kukreti. (2014). Research Highlights: Highlights from the Latest Articles Focusing on a New Gene Set for Better Drug Response Prediction of Epilepsy Patients. Pharmacogenomics. 15(5). 581–586. 3 indexed citations
18.
Grover, Sandeep, Mandaville Gourie‐Devi, Kiran Bala, Sangeeta Sharma, & Ritushree Kukreti. (2012). Genetic association analysis of transporters identifies ABCC2 loci for seizure control in women with epilepsy on first-line antiepileptic drugs. Pharmacogenetics and Genomics. 22(6). 447–465. 24 indexed citations
19.
Verma, Meenakshi, et al.. (2012). Curcumin Prevents Formation of Polyglutamine Aggregates by Inhibiting Vps36, a Component of the ESCRT-II Complex. PLoS ONE. 7(8). e42923–e42923. 27 indexed citations
20.
Kukreti, Ritushree, Sandeep Grover, & Meenal Gupta. (2011). Challenges and recommendations for conducting epidemiological studies in the field of epilepsy pharmacogenetics. Indian journal of human genetics. 17(4). 4–4. 9 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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