Papers

1

Total Citations

321

H-Index

1

About

Mohd Anwar Khan is a leading figure in the integration of high-throughput phenotyping with genomics for crop improvement. His seminal 2019 paper, "High-throughput phenotyping for crop improvement in the genomics era," has garnered over 320 citations, underscoring its pivotal role in bridging the gap between genomic data and field-level plant performance. Khan’s research focuses on developing advanced imaging, sensor technologies, and data analytics to non-invasively measure complex traits like drought tolerance, yield, and disease resistance. By enabling rapid, precise screening of thousands of genotypes, his work accelerates the identification of superior crop varieties, directly addressing global food security challenges. A key contribution is his framework for merging phenomics with genomic selection, which has been widely adopted by breeding programs worldwide. Khan’s achievements include leading international collaborations and receiving recognition for translating lab-based discoveries into practical agricultural solutions. His research continues to shape the next generation of climate-resilient crops, making him an essential resource for students and researchers in plant science and precision agriculture.

Research Focus

Key Achievements

1
H-Index
1
Papers
321
Total Citations
321
Avg Citations/Paper
🏆 Most Cited Paper
High-throughput phenotyping for crop improvement in the genomics era
321 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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