Rahul Upadhya
Merck & Co., Inc., Rahway, NJ, USA (United States)(US)
Publications by Year
Research Areas
Innovative Microfluidic and Catalytic Techniques Innovation, Machine Learning in Materials Science, Computational Drug Discovery Methods, Advanced Polymer Synthesis and Characterization, Analytical Chemistry and Chromatography
Most-Cited Works
- → Machine Learning on a Robotic Platform for the Design of Polymer–Protein Hybrids(2022)169 cited
- → Automation and data-driven design of polymer therapeutics(2020)101 cited
- → PET-RAFT and SAXS: High Throughput Tools To Study Compactness and Flexibility of Single-Chain Polymer Nanoparticles(2019)66 cited
- → Continuous microfluidic assembly of biodegradable poly(beta‐amino ester)/DNA nanoparticles for enhanced gene delivery(2017)60 cited
- → Purifying Low‐Volume Combinatorial Polymer Libraries with Gel Filtration Columns(2019)20 cited
- → Machine Learning on a Robotic Platform for the Design of Polymer-Protein Hybrids(2022)13 cited
- → Automated PET-RAFT Polymerization toward Pharmaceutical Amorphous Solid Dispersion Development(2021)11 cited
- → Flow Activation Energy of High-Concentration Monoclonal Antibody Solutions and Protein–Protein Interactions Influenced by NaCl and Sucrose(2024)9 cited
- → Examining polymer‐protein biophysical interactions with small‐angle x‐ray scattering and quartz crystal microbalance with dissipation(2022)8 cited
- → Data-Driven Design of Protein-Like Single-Chain Polymer Nanoparticles(2022)6 cited