Comparison of oral dydrogestrone with progesterone gel and micronized progesterone for luteal support in 1,373 women undergoing in vitro fertilization: a randomized clinical study A Ganesh, N Chakravorty, R Mukherjee, S Goswami, K Chaudhury, ... Fertility and sterility 95 (6), 1961-1965, 2011 | 101 | 2011 |
The microRNA expression signature on modified titanium implant surfaces influences genetic mechanisms leading to osteogenic differentiation N Chakravorty, S Ivanovski, I Prasadam, R Crawford, A Oloyede, Y Xiao Acta biomaterialia 8 (9), 3516-3523, 2012 | 80 | 2012 |
Targeted drug delivery from titanium implants: a review of challenges and approaches A Barik, N Chakravorty Trends in Biomedical Research, 1-17, 2020 | 72 | 2020 |
Pro‐osteogenic topographical cues promote early activation of osteoprogenitor differentiation via enhanced TGF β, Wnt, and Notch signaling N Chakravorty, S Hamlet, A Jaiprakash, R Crawford, A Oloyede, M Alfarsi, ... Clinical Oral Implants Research 25 (4), 475-486, 2014 | 63 | 2014 |
Curcumin extraction, isolation, quantification and its application in functional foods: a review with a focus on immune enhancement activities and COVID-19 S Tripathy, DK Verma, M Thakur, AR Patel, PP Srivastav, S Singh, ... Frontiers in Nutrition 8, 747956, 2021 | 53 | 2021 |
Emotion recognition from EEG signal using XGBoost algorithm S Parui, AKR Bajiya, D Samanta, N Chakravorty 2019 IEEE 16th India Council International Conference (INDICON), 1-4, 2019 | 53 | 2019 |
Biomimetic silk fibroin and xanthan gum blended hydrogels for connective tissue regeneration PK Byram, KC Sunka, A Barik, M Kaushal, S Dhara, N Chakravorty International Journal of Biological Macromolecules 165, 874-882, 2020 | 50 | 2020 |
miRwayDB: a database for experimentally validated microRNA-pathway associations in pathophysiological conditions SS Das, P Saha, N Chakravorty Database 2018, bay023, 2018 | 45 | 2018 |
Lithium release from β-tricalcium phosphate inducing cementogenic and osteogenic differentiation of both hPDLCs and hBMSCs P Han, M Xu, J Chang, N Chakravorty, C Wu, Y Xiao Biomaterials science 2 (9), 1230-1243, 2014 | 42 | 2014 |
Open science: Challenges, possible solutions and the way forward N Chakravorty, CS Sharma, KA Molla, JK Pattanaik Proceedings of the Indian National Science Academy 88 (3), 456-471, 2022 | 31 | 2022 |
Recent trends in extraction, identification and quantification methods of Centella asiatica phytochemicals with potential applications in food industry and therapeutic … S Tripathy, DK Verma, M Thakur, N Chakravorty, S Singh, PP Srivastav Food Bioscience 49, 101864, 2022 | 26 | 2022 |
MicroRNA expression patterns in HbE/β-thalassemia patients: The passwords to unlock fetal hemoglobin expression in β-hemoglobinopathies SS Das, S Das, PK Byram, M Rahaman, TK Dolai, A Chatterjee, ... Blood Cells, Molecules, and Diseases 87, 102523, 2021 | 23 | 2021 |
Decrypting the role of predicted SARS-CoV-2 miRNAs in COVID-19 pathogenesis: A bioinformatics approach M Rahaman, J Komanapalli, M Mukherjee, PK Byram, S Sahoo, ... Computers in Biology and Medicine 136, 104669, 2021 | 22 | 2021 |
Identification of deleterious SNPs and their effects on BCL11A, the master regulator of fetal hemoglobin expression SS Das, N Chakravorty Genomics 112 (1), 397-403, 2020 | 22 | 2020 |
Alteration of the C-terminal ligand specificity of the erbin PDZ domain by allosteric mutational effects J Murciano-Calles, ME McLaughlin, A Erijman, Y Hooda, N Chakravorty, ... Journal of molecular biology 426 (21), 3500-3508, 2014 | 22 | 2014 |
miRnalyze: an interactive database linking tool to unlock intuitive microRNA regulation of cell signaling pathways S Subhra Das, M James, S Paul, N Chakravorty Database 2017, bax015, 2017 | 20 | 2017 |
Revisiting fetal hemoglobin inducers in beta-hemoglobinopathies: A review of natural products, conventional and combinatorial therapies M Mukherjee, M Rahaman, SK Ray, PC Shukla, TK Dolai, N Chakravorty Molecular Biology Reports, 1-15, 2022 | 17 | 2022 |
Identification of severity and passive measurement of oxidative stress biomarkers for β–thalassemia patients: K-means, random forest, XGBoost, decision tree, neural network … D Basu, R Sinha, S Sahu, J Malla, N Chakravorty, PS Ghosal Advances in Redox Research 5, 100034, 2022 | 16 | 2022 |
Role of malonaldehyde as a surrogate biomarker for iron overload in the β-thalassemia patient: A systematic meta-analysis D Basu, DG Adhya, R Sinha, N Chakravorty Advances in Redox Research 3, 100017, 2021 | 13 | 2021 |
Implant surface modifications and osseointegration N Chakravorty, A Jaiprakash, S Ivanovski, Y Xiao Biomaterials for Implants and Scaffolds, 107-131, 2017 | 12 | 2017 |