Narendra Verma | Biochemistry | Research Excellence Award

Research Excellence Award

Narendra Verma
Affiliation Centre of BioMedical Research Lucknow
Country India
Scopus ID 57191708464
Documents 18
Citations 1,303
h-index 10
Subject Area Biochemistry, Genetics and Molecular Biology
Event International Academic Achievements & Awards

Narendra Verma
Centre of BioMedical Research Lucknow, India

Narendra Verma is an Indian molecular biologist and geneticist currently serving as Assistant Professor in the Department of Systems Biology at the Centre of Biomedical Research (CBMR), Lucknow. His research spans genetics, transcriptomics, metabolic biology, cancer signaling, adipose tissue physiology, and cellular regulatory mechanisms. Through collaborations with leading international laboratories, he has contributed to advances in cancer biology, obesity research, metabolic disorders, and molecular signaling pathways.[1]

Abstract

Narendra Verma has established a multidisciplinary research portfolio focused on molecular genetics, cancer biology, obesity, metabolic disorders, and transcriptomic regulation. His scholarly contributions include highly cited publications in leading journals such as Nature, Cancer Cell, Oncogene, Stem Cells, and Journal of Biological Chemistry. His current work investigates glycophagy-mediated metabolic regulation in diabetes-induced fatty liver disease through an ICMR-funded project.[2]

Keywords

Genetics, Molecular Biology, Transcriptomics, Cell Signaling, Cancer Biology, Obesity, Metabolism, Adipose Tissue, Diabetes, Glycophagy.

Introduction

Following academic training in biotechnology and molecular genetics in India and Italy, Dr. Verma developed expertise in transcriptional regulation, metabolic signaling, and disease mechanisms. His research integrates experimental biology with translational applications aimed at understanding metabolic and oncogenic processes.[3]

Research Profile

His investigations have explored Sox2-mediated tumorigenesis, YAP signaling regulation, adipocyte metabolism, thermogenesis, inflammatory signaling, and metabolic dysfunction. These studies combine cellular, molecular, and genomic approaches to address fundamental biomedical questions.[4]

Research Contributions

  • Identified Sox2-dependent mechanisms in osteosarcoma development.
  • Advanced understanding of YAP signaling in cancer progression.
  • Contributed to landmark Nature research on fungal microbiome-driven pancreatic oncogenesis.
  • Investigated thermogenic and adipocyte regulatory pathways.
  • Leading ICMR-funded studies on glycophagy and fatty liver disease.

Publications

Notable publications include articles in Nature, Cancer Cell, Oncogene, Stem Cells, Aging Cell, ATVB, and Journal of Biological Chemistry. Several publications have appeared in journals with significant impact factors and international visibility.[5]

Research Impact

According to Scopus data, Dr. Verma has accumulated over 1,300 citations across 18 indexed publications with an h-index of 10. His work has influenced research in cancer biology, metabolism, immunology, and molecular medicine, reflecting broad interdisciplinary relevance.[1]

Award Suitability

Dr. Verma demonstrates strong eligibility for research excellence recognition due to his impactful publication record, international collaborations, competitive grant funding, and sustained contributions to molecular and biomedical sciences. His ongoing ICMR-supported research further highlights his active role in advancing translational health research.

Conclusion

The academic achievements of Dr. Narendra Kumar Verma illustrate a productive career focused on understanding the molecular basis of disease. Through influential publications, collaborative science, and funded research programs, he continues to contribute to biomedical innovation and scientific advancement.

References

  1. Elsevier. (2026). Scopus Author Details: Narendra Kumar Verma, Author ID 57191708464.
    https://www.scopus.com/authid/detail.uri?authorId=57191708464
  2. ICMR Project Record. Unraveling the Glycophagy Receptors: Targeting HSF1-STBD1 Axis to Manage Metabolic Homeostasis in Diabetes-Induced Fatty Liver. https://cbmr.res.in/faculty-profile-single.php?qwr=DTM-FCT20#gsc.tab=0
  3. Verma N. et al. Journal of Biological Chemistry. 2020.
  4. Maurizi G., Verma N., et al. Oncogene. 2018.
  5. Aykut B., Pushalkar S., Verma N., et al. Nature. 2019.
    https://doi.org/10.1038/s41586-019-1608-2

Assist. Prof. Dr. Sinan DEMİR | Biological Sciences | Best Researcher Award

Assist. Prof. Dr. Sinan DEMİR | Biological Sciences | Best Researcher Award

Assist. Prof. Dr. Sinan DEMİR | Biological Sciences – Isparta University of Applied Sciences, Turkey

Dr. Sinan Demir is an Assistant Professor at the Isparta University of Applied Sciences, where he specializes in Soil Science and Plant Nutrition. His academic journey is marked by significant achievements in agricultural technology and remote sensing, focusing on the development of innovative methodologies for monitoring agricultural productivity and land use. Dr. Demir has contributed extensively to the integration of unmanned aerial vehicles (UAVs) and machine learning algorithms to enhance the efficiency of agricultural practices. With a comprehensive background in soil science, plant nutrition, and agricultural engineering, his work continues to impact both the academic community and practical applications in agriculture.

Profile:

Orcid | Scopus | Google Scholar

Education:

Dr. Demir’s academic background includes a Bachelor’s degree in Agricultural Engineering and a Master’s degree in Soil Science and Plant Nutrition from Suleyman Demirel University. His PhD, completed in 2021 at Isparta University of Applied Sciences, was centered around “The Monitoring of Isparta Rose (Rosa damascena Mill.) Gardens using Unmanned Aerial Vehicles (UAVs) and the Development of Yield Prediction Models.” This thesis was guided by Prof. Dr. Levent Başayığit. His formal education has equipped him with a strong foundation in soil science, plant protection, and remote sensing technologies, which he applies in his research and teaching.

Experience:

Dr. Demir has a rich research and teaching portfolio. In his role as Assistant Professor, he has undertaken leadership roles in multiple national and international projects related to agriculture, land use, and environmental monitoring. These include significant contributions to the development of yield prediction models for oil rose farming using UAV images and the application of machine learning algorithms for soil data analysis. He has also been a key researcher in several TUBITAK and EU-funded projects aimed at improving sustainable farming practices and climate change resilience. His teaching contributions span undergraduate and postgraduate courses, with a focus on remote sensing, digital agriculture, and UAV-based crop monitoring.

Research Interests:

Dr. Demir’s research interests lie at the intersection of agricultural technology and environmental science. He focuses on the integration of remote sensing technologies, particularly UAVs, in precision agriculture. His research aims to improve the efficiency of crop monitoring, yield prediction, and land use management. Additionally, he explores the use of hyperspectral data and machine learning techniques to address challenges in soil quality, vegetation health, and climate impact assessments. He is particularly interested in the application of these technologies in regions with semi-arid climates and the development of models to optimize agricultural practices.

Awards:

Dr. Demir’s work has been recognized both in academia and in practical applications. He was awarded several research grants, including support for projects investigating the impact of UAV technology on organic farming practices and the application of machine learning in soil science. His contributions to agricultural research were acknowledged in multiple national and international conferences, where he has presented groundbreaking work on topics such as digital mapping of soil erosion and evaluating land use changes with satellite imagery.

Publications:

Dr. Demir has authored several influential publications in peer-reviewed journals. Notable among them are:

  1. “Determination of suitable agricultural areas and current land use in Isparta Province, Türkiye, through a linear combination technique and geographic information systems” (2024) – Environment, Development and Sustainability 🌱
  2. “Assessment of pre- and post-fire erosion using the RUSLE equation in a watershed affected by the forest fire on Google Earth Engine: the study of Manavgat River Basin” (2024) – Natural Hazards 🔥
  3. “Yield prediction models of organic oil rose farming with agricultural unmanned aerial vehicles (UAVs) images and machine learning algorithms” (2024) – Remote Sensing Applications: Society and Environment 🚁
  4. “Digital Mapping Burn Severity in Agricultural and Forestry Land over a Half-Decade Using Sentinel Satellite Images on the Google Earth Engine Platform” (2024) – Trees, Forests and People 🌳
  5. “Determining burned areas using different threshold values of NDVI with Sentinel-2 satellite images on GEE platform: A case study of Muğla Province” (2023) – International Journal of Sustainable Engineering and Technology 🌍

Conclusion:

Dr. Sinan Demir’s academic and professional trajectory is marked by a dedication to advancing agricultural sciences through the use of cutting-edge technologies such as UAVs and machine learning. His research continues to drive improvements in the management of agricultural systems, particularly in sustainable farming practices and land use optimization. As an educator and researcher, Dr. Demir is committed to sharing his knowledge and contributing to the global discourse on the intersection of technology and agriculture. His work not only enriches academic literature but also offers practical solutions to real-world challenges in the agricultural sector.