| Changing trends in computational drug repositioning JK Yella, S Yaddanapudi, Y Wang, AG Jegga Pharmaceuticals 11 (2), 57, 2018 | 130 | 2018 |
| Liver homeostasis is maintained by midlobular zone 2 hepatocytes Y Wei, YG Wang, Y Jia, L Li, J Yoon, S Zhang, Z Wang, Y Zhang, M Zhu, ... Science 371 (6532), eabb1625, 2021 | 61 | 2021 |
| Hsp90 regulation of fibroblast activation in pulmonary fibrosis V Sontake, Y Wang, RK Kasam, D Sinner, GB Reddy, AP Naren, ... JCI insight 2 (4), 2017 | 56 | 2017 |
| Unsupervised gene expression analyses identify IPF-severity correlated signatures, associated genes and biomarkers Y Wang, J Yella, J Chen, FX McCormack, SK Madala, AG Jegga BMC Pulmonary Medicine 17 (1), 1-10, 2017 | 22 | 2017 |
| A core program of gene expression characterizes cancer metastases F Hartung, Y Wang, B Aronow, GF Weber Oncotarget 8 (60), 102161, 2017 | 22 | 2017 |
| Transcriptomic data mining and repurposing for computational drug discovery Y Wang, J Yella, AG Jegga Computational Methods for Drug Repurposing, 73-95, 2019 | 18 | 2019 |
| Spatial molecular profiling: platforms, applications and analysis tools M Zhang, T Sheffield, X Zhan, Q Li, DM Yang, Y Wang, S Wang, Y Xie, ... Briefings in bioinformatics 22 (3), bbaa145, 2021 | 16 | 2021 |
| Deep learning-based prediction of the T cell receptor–antigen binding specificity T Lu, Z Zhang, J Zhu, Y Wang, P Jiang, X Xiao, C Bernatchez, ... Nature Machine Intelligence 3 (10), 864-875, 2021 | 10 | 2021 |
| Profiling the immune vulnerability landscape of the 2019 Novel Coronavirus J Zhu, J Kim, X Xiao, Y Wang, D Luo, R Chen, L Xu, H Zhang, G Xiao, ... Preprints, 2020 | 8 | 2020 |
| Single cell RNA sequencing reveals regional heterogeneity of hepatobiliary innate lymphoid cells in a tissue-enriched fashion AL Peters, Z Luo, J Li, R Mourya, Y Wang, P Dexheimer, P Shivakumar, ... PloS one 14 (4), e0215481, 2019 | 8 | 2019 |
| The immune vulnerability landscape of the 2019 Novel Coronavirus, SARS-CoV-2 J Zhu, J Kim, X Xiao, Y Wang, D Luo, S Jiang, R Chen, L Xu, H Zhang, ... BioRxiv, 2020 | 7 | 2020 |
| Overcoming expressional drop-outs in lineage reconstruction from single-cell RNA-sequencing data T Lu, S Park, J Zhu, Y Wang, X Zhan, X Wang, L Wang, H Zhu, T Wang Cell Reports 34 (1), 108589, 2021 | 6 | 2021 |
| Pan-transcriptome-based candidate therapeutic discovery for idiopathic pulmonary fibrosis Y Wang, JK Yella, S Ghandikota, TC Cherukuri, HH Ediga, SK Madala, ... Therapeutic advances in respiratory disease 14, 1753466620971143, 2020 | 4 | 2020 |
| Spatial distribution of marker gene activity in the mouse lung during alveolarization MC Ljungberg, M Sadi, Y Wang, BJ Aronow, Y Xu, RJ Kao, Y Liu, ... Data in brief 22, 365-372, 2019 | 3 | 2019 |
| De-noising spatial expression profiling data based on in situ position and image information Y Wang, B Song, S Wang, M Chen, Y Xie, G Xiao, L Wang, T Wang | 2 | 2021 |
| PP-2, a src-kinase inhibitor, is a potential corrector for F508del-CFTR in cystic fibrosis Y Wang, K Arora, F Yang, WH Shin, J Chen, D Kihara, AP Naren, ... bioRxiv, 288324, 2018 | 2 | 2018 |
| Network analyses of biomedical and genomic big data M Sarangdhar, RC Gudivada, RB Shrestha, Y Wang, AG Jegga Big Data of Complex Networks, 13-36, 2016 | 2 | 2016 |
| Erratum: Prediction of human population responses to toxic compounds by a collaborative competition F Eduati, LM Mangravite, T Wang, H Tang, JC Bare, R Huang, T Norman, ... Nature biotechnology 33 (10), 1109-1109, 2015 | 2 | 2015 |
| De-noising Spatial Transcriptomics Data Based on Position and Image Information Y Wang, B Song, S Wang, M Chen, Y Xie, G Xiao, L Wang, T Wang bioRxiv, 2021 | | 2021 |
| Integrative Omics to Discover Drug Repurposing Candidates for Idiopathic Pulmonary Fibrosis Y Wang, S Yaddanapudi1, J Yella, V Sontake, SK Madala, A Jegga A42. ILD SCIENTIFIC ABSTRACTS: TREATMENT AND ACUTE EXACERBATION, A1637-A1637, 2018 | | 2018 |
Anil JeggaProfessor of Biomedical Informatics, Cincinnati Children's Hospital Medical CenterVerified email at cchmc.org
