Wei wei Zhao | Soil Biology | Best Researcher Award

Assoc. Prof. Dr. Wei wei Zhao | Soil Biology | Best Researcher Award

Assoc. Prof. Dr. Wei wei Zhao | Minzu Normal University of Xingyi | China

Weiwei Zhao’s research exemplifies excellence in soil science through her innovative investigations into rhizosphere ecology and plant–soil interactions, particularly focusing on the endangered Paeonia ludlowii in the Tibetan Plateau. Her studies explore how diverse soil physicochemical properties, enzyme activities, and microbial communities influence the metabolic pathways of medicinal plants across different habitats. Employing advanced tools such as high-throughput sequencing and GC-TOFMS metabolomic profiling, her work provides valuable insights into soil metabolites and their regulatory networks, linking soil health to plant bioactive compounds. Her comparative analyses of chloroplast genomes and genetic diversity using ISSR markers contribute significantly to understanding germplasm conservation, hybrid breeding, and adaptive evolution of peony species. Through extensive field investigations, data analysis, and collaboration with regional agricultural and horticultural institutes, she advances sustainable approaches for plateau ecosystem management, ornamental plant domestication, and genetic improvement. Her multidisciplinary contributions bridge soil chemistry, plant physiology, and molecular biology, establishing a scientific foundation for conserving endangered flora and enhancing medicinal resource utilization. Her impactful publications in indexed journals further highlight her commitment to advancing soil metabolomics, microbial ecology, and biodiversity conservation within complex high-altitude environments, reinforcing her status as a leading innovator in soil–plant interaction research.

Profile: Orcid

Featured Publications

Zhao, W., & Zhang, M. (2025). Microbial diversity of the rhizosphere in different habitats of Paeonia ludlowii in Xizang. Russian Journal of Plant Physiology, 72, 214.

Gul Tug | Biology | Best Researcher Award

Assoc. Prof. Dr. Gul Tug | Biology | Best Researcher Award

Assoc. Prof. Dr. Gul Tug | Karadeniz Technical University | Turkey 

Dr. Gul Tug has made a notable contribution to scientific research, reflected through her 10 published documents, which have collectively received 28 citations across 16 referencing works. Her research productivity and scholarly influence are further emphasized by her h-index, which underscores the consistent impact and quality of her publications. Dr. Tug’s work demonstrates strong analytical depth and interdisciplinary relevance, addressing emerging scientific questions with innovative approaches and methodological rigor. Her research outputs have contributed to the advancement of her field by offering new insights, practical frameworks, and data-driven conclusions that support further exploration and application. The sustained academic interest shown through multiple citations highlights her growing recognition within the research community. Overall, her profile presents a balance of publication volume, citation quality, and research impact, establishing her as a promising and engaged contributor to contemporary scientific discourse.

Profiles:  Scopus | Orcid

Featured Publications

Tuğ, G., & Özdemir, Z. (2025, November). A new approach to the accretive growth of surfaces via hyperbolical kinematics. Mathematical Methods in the Applied Sciences.

Tuğ, G. (2023, January 17). Constant pseudo-angle lightlike surfaces. Communications Faculty of Science University of Ankara Series A1: Mathematics and Statistics.

Tuğ, G. (2022, December 31). Canal surfaces through a null quaternionic spine curve. Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri Dergisi.

Tuğ, G. (2021). Accretive Darboux growth in Lorentz–Minkowski spacetime. Mathematical Methods in the Applied Sciences.

Tuğ, G. (2021, August 28). Minimal twist accretive growth with spatial curve evolution. Mathematical Methods in the Applied Sciences.

Tuğ, G. (2020). Accretive growth kinematics via null evolution curve. Mathematical Methods in the Applied Sciences.