| Iso-structurality induced solid phase transformations: a case study with lenalidomide R Chennuru, P Muthudoss, RS Voguri, S Ramakrishnan, P Vishweshwar, ... Crystal Growth & Design 17 (2), 612-628, 2017 | 24 | 2017 |
| In situ metastable form: a route for the generation of hydrate and anhydrous forms of ceritinib R Chennuru, RT Koya, P Kommavarapu, SV Narasayya, P Muthudoss, ... Crystal Growth & Design 17 (12), 6341-6352, 2017 | 15 | 2017 |
| Preliminary studies on unusual polymorphs of thymine: Structural comparison with other nucleobases R Chennuru, P Muthudoss, S Ramakrishnan, AB Mohammad, RRC Babu, ... Journal of Molecular Structure 1120, 86-99, 2016 | 13 | 2016 |
| Micronization and agglomeration: understanding the impact of API particle properties on dissolution and permeability using solid state and biopharmaceutical “toolbox” P Muthudoss, P Khullar Journal of Pharmaceutical Innovation 16, 136-151, 2021 | 9 | 2021 |
| Quantitative microscopy: particle size/shape characterization, addressing common errors using ‘analytics continuum’approach D Saravanan, P Muthudoss, P Khullar, AR Venis Journal of Pharmaceutical Sciences 110 (2), 833-849, 2021 | 9 | 2021 |
| Topologically directed confocal Raman imaging (TD-CRI): Advanced Raman imaging towards compositional and micromeritic profiling of a commercial tablet components P Muthudoss, S Kumar, EYC Ann, KJ Young, RLR Chi, R Allada, ... Journal of pharmaceutical and biomedical analysis 210, 114581, 2022 | 8 | 2022 |
| A new febuxostat-telmisartan drug-drug cocrystal for gout-hypertension combination therapy T Ganesan, P Muthudoss, RS Voguri, S Ghosal, EYC Ann, J Kwok, ... Journal of pharmaceutical sciences 111 (12), 3318-3326, 2022 | 7 | 2022 |
| Machine learning–enabled NIR spectroscopy. Part 2: workflow for selecting a subset of samples from publicly accessible data H Ali, P Muthudoss, M Ramalingam, L Kanakaraj, A Paudel, G Ramasamy AAPS PharmSciTech 24 (1), 34, 2023 | 6 | 2023 |
| Artificial intelligence (AI) in drug product designing, development, and manufacturing S Chaudhary, P Muthudoss, T Madheswaran, A Paudel, V Gaikwad A handbook of artificial intelligence in drug delivery, 395-442, 2023 | 6 | 2023 |
| Machine learning-enabled NIR spectroscopy in assessing powder blend uniformity: clear-up disparities and biases induced by physical artefacts P Muthudoss, I Tewari, RLR Chi, KJ Young, EYC Ann, DNS Hui, OY Khai, ... AAPS PharmSciTech 23 (7), 277, 2022 | 5 | 2022 |
| Vendor qualification: Utilization of solid state characterization “Toolbox” to assess material variability for active pharmaceutical ingredient D Saravanan, P Muthudoss, P Khullar, A Rosevenis Journal of Applied Pharmaceutical Science 9 (9), 001-009, 2019 | 4 | 2019 |
| ML in drug delivery—current scenario and future trends P Muthudoss, H Ali, G Ramasamy, R Allada, E Fink, V Kalaiselvan, ... Advances in Drug Delivery Systems for Healthcare: From concept to clinic, 9 …, 2024 | | 2024 |
| Machine Learning-Enabled NIR Spectroscopy. Part 3: Hyperparameter by Design (HyD) Based ANN-MLP Optimization, Model Generalizability, and Model Transferability H Ali, P Muthudoss, C Chauhan, I Kaliappan, D Kumar, A Paudel, ... AAPS PharmSciTech 24 (8), 254, 2023 | | 2023 |
| Comparison of In Vitro Phosphate-Binding Studies of Sevelamer Carbonate Using Incubator Shaker and USP Dissolution Apparatus II NS Tibon, R Allada, S Vakkala, P Muthudoss, S Syed DISSOLUTION TECHNOLOGIES 29 (2), 78-84, 2022 | | 2022 |
| Pregelatinized Starch: Variability in Gelatinization and its Influence on Product Performance D Saravanan, P Muthudoss, P Khullar International Journal of Research in Pharmaceutical Sciences 12 (1), 141-149, 2021 | | 2021 |
| Unusual polymorphs of thymine SK Nayak, R Chennuru, P Muthudoss, S Ramakrishnan, AB Mohammad, ... ACTA CRYSTALLOGRAPHICA A-FOUNDATION AND ADVANCES 70, C1412-C1412, 2014 | | 2014 |
