Tongxin Wang | Horticultural Science | Excellence in Research award

Published on by Plant Scientist

Dr. Tongxin Wang | Horticultural Science | Excellence in Research award

Hainan University | China

Dr. Tongxin Wang is a dedicated plant science researcher at Hainan University, China, recognized for his significant contributions to plant molecular biology and ornamental horticulture. His academic experience and research background focus on the molecular mechanisms underlying flower coloration, including anthocyanin and flavonoid biosynthesis, which determine pigmentation patterns in ornamental species such as pansy and Ixora. Dr. Wang has developed expertise in transcriptomics, gene expression profiling, and plant tissue culture techniques, advancing knowledge on leaf variegation and floral color variation that supports horticultural breeding programs. His studies involve identifying key regulatory genes and metabolic pathways that influence plant traits of commercial value. Throughout his career, Dr. Wang has collaborated with multidisciplinary teams, mentoring students and contributing to innovative scientific approaches in biotechnology and plant physiology. While awards or recognitions are not widely publicized, his strong citation metrics highlight his impact and reputation in the scientific community. In conclusion, Dr. Tongxin Wang continues to contribute to the advancement of plant genetics and improvement of ornamental crops, positioning himself as an emerging leader in molecular horticulture research.

Profile:  Orcid

Featured Publications

Li, J., Feng, S., Xu, X., Li, T., Li, Y., Wang, T., & Wang, J. (2025). Stress-specific adaptation of a non-betalain DODA homolog from pansy (Viola × wittrockiana). Industrial Crops and Products.

Wang, T., Li, C., Wang, Y., Peng, T., & Wang, J. (2025). Differences in anthocyanin biosynthesis drive flower coloration variations in pansy (Viola × wittrockiana Gams.). Physiologia Plantarum.

Wang, T., Luo, C., Liu, Z., Zhao, Y., Zhu, Z., Song, X., Zhou, Y., & Wang, J. (2024). Comparative transcriptomic analysis to postulate the generation of variegated leaves in Bougainvillea peruviana ‘Thimma’. Industrial Crops and Product.

Wang, T., Li, C., Wang, Y., Peng, T., & Wang, J. (2022). Comparative transcriptome analysis of anthocyanin biosynthesis in pansy (Viola × wittrockiana Gams.). Agronomy,

Naser Safaie | Plant Pathology | Research Excellence Award

Published on by Plant Scientist

Assoc. Prof. Dr. Naser Safaie | Plant Pathology | Research Excellence Award

Tarbiat Modares University | Iran

Naser Safaie is a distinguished plant pathologist and mycologist whose academic journey began with a B.Sc. in Plant Protection from Isfahan University of Technology, followed by an M.Sc. in Plant Pathology from Chamran University, and culminating in a Ph.D. in Plant Pathology–Mycology from Tarbiat Modares University. Over more than three decades, he has developed deep expertise in the biological control of phytopathogenic fungi using microbial antagonists, molecular diagnostics, fungal taxonomy, bioformulation of biocontrol products, and plant–microbe interaction studies. As a seasoned professor and long-time department head at the Faculty of Agriculture, Tarbiat Modares University, he has led numerous high-impact research projects spanning fungal pathogen epidemiology, stress tolerance via endophytes, biofertilizers, and cold-plasma applications in agriculture. Recognized for his leadership roles (including editorial responsibilities and presidency of the Iranian Society of Plant Pathology), he has mentored generations of students and spearheaded the translation of lab innovations into practical biocontrol and biofertilizer products. His work bridges fundamental science and agricultural application, contributing to sustainable crop protection and biotechnology development.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

Najafi, M. R., Kordrostami, M., Aghajani, M. A., Safaie, N., & Rahmanpour, S. (2025, October 7). Multilayer perceptron neural network–genetic algorithm for modeling Nicotiana tabacum leaf quality. PLOS One.

Jahedi, A., Safaie, N., Goltapeh, E. M., & Ahmadifar, S. (2024). Auricularia (wood ear mushroom) genus: A contribution to classification and new species records for Iran and world. Plant and Fungal Systematics.

Rahimi-Soujeh, Z., Safaie, N., Moradi, S., Abbod, M., Sharifi, R., Mojerlou, S., & Mokhtassi-Bidgoli, A. (2024, October). New binary mixtures of fungicides against Macrophomina phaseolina: Machine learning-driven QSAR, read-across prediction, and molecular dynamics simulation. Chemosphere.

Abbod, M., Safaie, N., & Gholivand, K. (2024, August). Genetic algorithm multiple linear regression and machine learning-driven QSTR modeling for the acute toxicity of sterol biosynthesis inhibitor fungicides. Heliyon.

Hussein, S. N., Safaie, N., Shams-bakhsh, M., & Al-Juboory, H. H. (2024, August). Harnessing rhizobacteria: Isolation, identification, and antifungal potential against soil pathogens. Heliyon,