Supreeta Vijayakumar

Teesside University

H-index: 7

Europe-United Kingdom

About Supreeta Vijayakumar

Supreeta Vijayakumar, With an exceptional h-index of 7 and a recent h-index of 7 (since 2020), a distinguished researcher at Teesside University, specializes in the field of Systems Biology, Metabolic Modelling, Multi-omic data integration, Photosynthesis.

His recent articles reflect a diverse array of research interests and contributions to the field:

Kinetic modeling identifies targets for engineering improved photosynthetic efficiency in potato (Solanum tuberosum cv. Solara)

A Practical Guide to Integrating Multimodal Machine Learning and Metabolic Modeling

Protocol for hybrid flux balance, statistical, and machine learning analysis of multi-omic data from the cyanobacterium Synechococcus sp. PCC 7002

A Hybrid Flux Balance Analysis and Machine Learning Pipeline Elucidates Metabolic Adaptation in Cyanobacteria

A mechanism-aware and multiomic machine-learning pipeline characterizes yeast cell growth

Supreeta Vijayakumar Information

University	Teesside University
Position	Department of Computer Science and Information Systems
Citations(all)	428
Citations(since 2020)	416
Cited By	122
hIndex(all)	7
hIndex(since 2020)	7
i10Index(all)	6
i10Index(since 2020)	6
Email	Access Email
University Profile Page	Teesside University
Google Scholar	View Google Scholar Profile