| Genetic landscape of the people of India: a canvas for disease gene exploration S Brahmachari, P Majumder, M Mukerji, S Habib, D Dash, K Ray, S Bahl, ... Journal of Genetics 87 (1), 3-20, 2008 | 324* | 2008 |
| Gut microbiome contributes to impairment of immunity in pulmonary tuberculosis patients by alteration of butyrate and propionate producers A Maji, R Misra, DB Dhakan, V Gupta, NK Mahato, R Saxena, P Mittal, ... Environmental microbiology 20 (1), 402-419, 2018 | 150 | 2018 |
| Association studies of catechol-O-methyltransferase (COMT) gene with schizophrenia and response to antipsychotic treatment M Gupta, P Bhatnagar, S Grover, H Kaur, R Baghel, Y Bhasin, C Chauhan, ... Future Medicine Ltd 10 (3), 385-397, 2009 | 97 | 2009 |
| Genetic landscape of common epilepsies: advancing towards precision in treatment S Thakran, D Guin, P Singh, P Singh, S Kukal, C Rawat, S Yadav, ... International journal of molecular sciences 21 (20), 7784, 2020 | 75 | 2020 |
| A hitchhiker's guide to single-cell transcriptomics and data analysis pipelines R Nayak, Y Hasija Genomics 113 (2), 606-619, 2021 | 54 | 2021 |
| Crowd Sourcing a New Paradigm for Interactome Driven Drug Target Identification in Mycobacterium tuberculosis R Vashisht, AK Mondal, A Jain, A Shah, P Vishnoi, P Priyadarshini, ... Plos one 7 (7), e39808, 2012 | 47 | 2012 |
| Automated detection of dermatological disorders through image-processing and machine learning Y Hasija, N Garg, S Sourav 2017 International conference on intelligent sustainable systems (ICISS …, 2017 | 37 | 2017 |
| Insights into structural modifications of valproic acid and their pharmacological profile MK Mishra, S Kukal, PR Paul, S Bora, A Singh, S Kukreti, L Saso, ... Molecules 27 (1), 104, 2021 | 32 | 2021 |
| Automated system for prediction of skin disease using image processing and machine learning L Bajaj, H Kumar, Y Hasija International Journal of Computer Applications 180 (19), 9-12, 2018 | 31 | 2018 |
| Application of explainable artificial intelligence in the identification of Squamous Cell Carcinoma biomarkers J Meena, Y Hasija Computers in Biology and Medicine 146, 105505, 2022 | 29 | 2022 |
| Exploring vitiligo susceptibility and management: a brief review R Rahman, Y Hasija Biomedical Dermatology 2, 1-13, 2018 | 28 | 2018 |
| The Ser/Thr protein kinase PrkC imprints phenotypic memory in Bacillus anthracis spores by phosphorylating the glycolytic enzyme enolase R Virmani, A Sajid, A Singhal, M Gaur, J Joshi, A Bothra, R Garg, R Misra, ... Journal of Biological Chemistry 294 (22), 8930-8941, 2019 | 27 | 2019 |
| mit‐o‐matic: A comprehensive computational pipeline for clinical evaluation of mitochondrial variations from next‐generation sequencing datasets SK Vellarikkal, H Dhiman, K Joshi, Y Hasija, S Sivasubbu, V Scaria Human mutation 36 (4), 419-424, 2015 | 27 | 2015 |
| A synergistic transcriptional regulation of olfactory genes drives blood-feeding associated complex behavioral responses in the mosquito Anopheles culicifacies T Das De, T Thomas, S Verma, D Singla, C Chauhan, V Srivastava, ... Frontiers in Physiology 9, 343596, 2018 | 26 | 2018 |
| Applications of deep learning in healthcare and biomedicine S Mittal, Y Hasija Deep learning techniques for biomedical and health informatics, 57-77, 2020 | 24 | 2020 |
| Recall-based Machine Learning approach for early detection of Cervical Cancer A Gupta, A Anand, Y Hasija 2021 6th International Conference for Convergence in Technology (I2CT), 1-5, 2021 | 17 | 2021 |
| Therapeutic potential of alpha-ketoglutarate against acetaminophen-induced hepatotoxicity in rats L Mehra, Y Hasija, G Mittal Journal of Pharmacy and Bioallied Sciences 8 (4), 296-299, 2016 | 17 | 2016 |
| Genetics of human age related disorders I Srivastava, N Thukral, Y Hasija Успехи геронтологии 28 (2), 228-247, 2015 | 15 | 2015 |
| MED-PDB: An online database of medicinal plants B Sargia, B Singh, N Gupta, LK Gahlot, T Gulati, Y Hasija Journal of Advanced Pharmacy Education and Research 7 (3-2017), 204-207, 2017 | 13 | 2017 |
| dbAARD & AGP: A computational pipeline for the prediction of genes associated with age related disorders I Srivastava, LK Gahlot, P Khurana, Y Hasija Journal of biomedical informatics 60, 153-161, 2016 | 13 | 2016 |
