Anuj Shrivastava

Papers

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About

Anuj Shrivastava is a rising figure in biopharmaceutical analytics, specializing in the high-throughput and automated characterization of N-glycans in monoclonal antibodies. His work addresses a critical bottleneck in therapeutic protein development—the need for rapid, reproducible glycosylation analysis to ensure drug safety and efficacy. His most-cited paper, "Recent progress in high-throughput and automated characterization of N-glycans in monoclonal antibodies" (2023), synthesizes cutting-edge advances in liquid chromatography, mass spectrometry, and microfluidic platforms, providing a roadmap for integrating automation into glycan profiling workflows. This contribution has already garnered 6 citations, signaling its growing influence among researchers seeking to streamline quality control in biologics manufacturing. Shrivastava’s research bridges analytical chemistry and biotechnology, offering practical solutions that reduce manual labor and increase throughput without compromising data integrity. By highlighting emerging technologies such as chip-based separation and real-time glycan detection, he is helping to accelerate the development of safer, more consistent antibody-based therapeutics. His work is particularly valuable for students and researchers entering the field of glycoengineering, as it demystifies complex analytical pipelines and underscores the importance of automation in modern bioprocessing.