Product
Help
Pricing
About
Jobs
Log in
Get started
Author
Add to collection
Asit Baron Sarker
Institution:
Khulna University
Observed institution:
Khulna University
ORCID:
0009-0003-7870-8375
Observed ORCID:
0009-0003-7870-8375
OpenAlex ID:
A5011301237
Preliminary pharmacological evaluation of Alocasia indica Schott tuber
2013
·
Md. Khirul Islam
, Imran Mahmud
, et al.
·
Journal of Chinese Integrative Medicine
·
37
In-vitro anthelmintic activity of three Bangladeshi plants against Paramphistomum cervi and Haemonchus contortus
2015
·
Md. Khirul Islam
, Md. Afjalus Siraj
, et al.
·
Journal of Complementary and Integrative Medicine
·
17
Assessment of Phytochemical Screening, Antimicrobial, Antioxidant, and Thrombolytic Potential of Ethanolic Leaf Extract of Clerodendrum indicum
2025
·
Dipongkar Ray Sobuj
, Tamanna Rashid
, et al.
·
Journal of Phytochemical Insights
·
7
PDF
Anti-diarrheal and thrombolytic activity of the leaf extract of Phyla nodiflora
2025
·
Nishat Bahadur
, Asit Baron Sarker
, et al.
·
Journal of Phytochemical Insights
·
3
PDF
Network Pharmacology-Guided Discovery and Computational Validation of Pinocembrin-Based Anticancer Inhibitors Targeting Mmp9, Tp53, and Hif1α Through Molecular Docking, Admet Profiling, and Molecular Dynamics Simulations
2025
·
Md Reaz Uddin
, Abu Sadat Muhammod Saiyem
, et al.
·
SSRN Electronic Journal
·
1
Network Pharmacology-Guided Discovery and Computational Validation of Pinocembrin-Based Anticancer Inhibitors Targeting MMP9, TP53, and HIF1α through Molecular Docking, ADMET Profiling, and Molecular Dynamics Simulations
2025
·
Md Reaz Uddin
, Golam Gaus Mohiuddin
, et al.
·
SSRN Electronic Journal
Network Pharmacology-Guided Discovery and Computational Validation of Pinocembrin-Based Anticancer Inhibitors Targeting MMP9, TP53, and HIF1α through Molecular Docking, ADMET Profiling, and Molecular Dynamics Simulations
2025
·
Md Reaz Uddin
, Abu Sadat Muhammod Saiyem
, et al.
·
SSRN Electronic Journal
Show more works
View as search
Works count:
7
Citation count:
65
H-index:
3
I10-index:
2
Year
Topic
Type