Mutasem O. Taha

4.8k total citations
185 papers, 3.9k citations indexed

About

Mutasem O. Taha is a scholar working on Molecular Biology, Organic Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Mutasem O. Taha has authored 185 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Molecular Biology, 71 papers in Organic Chemistry and 69 papers in Computational Theory and Mathematics. Recurrent topics in Mutasem O. Taha's work include Computational Drug Discovery Methods (69 papers), Synthesis and biological activity (35 papers) and Advanced Drug Delivery Systems (17 papers). Mutasem O. Taha is often cited by papers focused on Computational Drug Discovery Methods (69 papers), Synthesis and biological activity (35 papers) and Advanced Drug Delivery Systems (17 papers). Mutasem O. Taha collaborates with scholars based in Jordan, Saudi Arabia and Egypt. Mutasem O. Taha's co-authors include Mahmoud A. Al-Sha’er, Isra Dmour, Yasser Bustanji, Ihab M. Almasri, Khaled Aiedeh, Mohammad A. Khanfar, Mohammad K. Mohammad, Ma’mon M. Hatmal, Nazrul Islam and Maha Habash and has published in prestigious journals such as Journal of Biological Chemistry, Scientific Reports and Journal of Medicinal Chemistry.

In The Last Decade

Mutasem O. Taha

180 papers receiving 3.8k citations

Peers

Countries citing papers authored by Mutasem O. Taha

Since Specialization

Citations

This map shows the geographic impact of Mutasem O. Taha's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mutasem O. Taha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mutasem O. Taha more than expected).

Fields of papers citing papers by Mutasem O. Taha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mutasem O. Taha. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mutasem O. Taha. The network helps show where Mutasem O. Taha may publish in the future.

Co-authorship network of co-authors of Mutasem O. Taha

This figure shows the co-authorship network connecting the top 25 collaborators of Mutasem O. Taha. A scholar is included among the top collaborators of Mutasem O. Taha based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mutasem O. Taha. Mutasem O. Taha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	New Chitosan-Based Trimetallic Cu0.5Zn0.5Fe2O4 Nanoparticles:Preparation, Characterization, and Anti-cancer Activity 2024 ·Pharmacy Practice ·Afnan Al‐Hunaiti, (unknown), (unknown), (unknown), (unknown), Mutasem O. Taha, (unknown), Malek Zihlif, (unknown)	2
2	Preparation of novel shell-ionotropically crosslinked micelles based on hexadecylamine and tripolyphosphate for cancer drug delivery 2024 ·Pharmaceutical Development and Technology ·(unknown), Isra Dmour, (unknown), Walhan Alshaer, (unknown), Enam A. Khalil, Mutasem O. Taha	1
3	Structure‐Based Approaches for the Prediction of Alzheimer's Disease Inhibitors: Comparative Interactions Analysis, Pharmacophore Modeling and Molecular Dynamics Simulations 2024 ·ChemistrySelect ·(unknown), (unknown), Samir Chtita, (unknown), (unknown), Mateusz Kciuk, Amit Dubey, Mutasem O. Taha	1
4	Synthesis, evaluation, and docking study of adamantyl-1,3,4-oxadiazol hybrid compounds as CaMKIIδ kinase inhibitor 2024 ·Journal of Chemical Research ·(unknown), Areej M. Jaber, Raed A. Al‐Qawasmeh, Mutasem O. Taha	5
5	Computational workflow for discovering small molecular binders for shallow binding sites by integrating molecular dynamics simulation, pharmacophore modeling, and machine learning: STAT3 as case study 2023 ·Journal of Computer-Aided Molecular Design ·(unknown), Ma’mon M. Hatmal, Dana A. Alqudah, Mutasem O. Taha	1
6	Augmenting bioactivity by docking‐generated multiple ligand poses to enhance machine learning and pharmacophore modelling: discovery of new TTK inhibitors as case study 2023 ·Molecular Informatics ·(unknown), Safa Daoud, Ma’mon M. Hatmal, Mutasem O. Taha	3
7	Discovery of new STAT3 inhibitors as anticancer agents using ligand-receptor contact fingerprints and docking-augmented machine learning 2023 ·RSC Advances ·(unknown), Walhan Alshaer, Ma’mon M. Hatmal, Mutasem O. Taha	7
8	Molecular docking, molecular dynamics simulations and in vitro screening reveal cefixime and ceftriaxone as GSK3β covalent inhibitors 2023 ·RSC Advances ·(unknown), Wolfgang Sippl, Rana Abu‐Dahab, Mutasem O. Taha	20
9	Discovery of new PKN2 inhibitory chemotypes via QSAR-guided selection of docking-based pharmacophores 2022 ·Molecular Diversity ·Mahmoud A. Al-Sha’er, Haneen A. Basheer, Mutasem O. Taha	30
10	Reported Adverse Effects and Attitudes among Arab Populations Following COVID-19 Vaccination: A Large-Scale Multinational Study Implementing Machine Learning Tools in Predicting Post-Vaccination Adverse Effects Based on Predisposing Factors 2022 ·Vaccines ·Ma’mon M. Hatmal, Mohammad A. I. Al-Hatamleh, Amin N. Olaimat, Rohimah Mohamud, Mirna Fawaz, Elham Kateeb, Omar K. Alkhairy, Reema Tayyem, Mohamed Lounis, Marwan Al‐Raeei, (unknown), Hamzeh J. Al‐Ameer, Mutasem O. Taha, Khalid Mubarak Bindayna	43
11	Discovery of new potent lysine specific histone demythelase-1 inhibitors (LSD-1) using structure based and ligand based molecular modelling and machine learning 2022 ·RSC Advances ·(unknown), Malek Zihlif, Mutasem O. Taha	10
12	Pharmacophore Modeling of Targets Infested with Activity CliffsviaMolecular Dynamics Simulation Coupled with QSAR and Comparison with other Pharmacophore Generation Methods: KDR as Case Study 2022 ·Molecular Informatics ·(unknown), Safa Daoud, Mahmoud A. Al-Sha’er, Mutasem O. Taha	7
13	Dipeptidyl Peptidase-IV Blockers Potently Inhibit Monoglyceride Lipase: Investigation By Docking Studies And In Vitro Bioassay 2022 ·Medicinal Chemistry Research ·(unknown), Lina A. Dahabiyeh, Mutasem O. Taha	1
14	QSAR-guided pharmacophore modeling and subsequent virtual screening identify novel TYK2 inhibitor 2019 ·Medicinal Chemistry Research ·(unknown), Areej Abuhammad, Mutasem O. Taha	6
15	Discovery of new Gyrase β inhibitors via structure based modeling 2018 ·Computational Biology and Chemistry ·(unknown), (unknown), Mutasem O. Taha	13
16	Docking-based comparative intermolecular contacts analysis and in silico screening reveal new potent acetylcholinesterase inhibitors 2017 ·Medicinal Chemistry Research ·Maha Habash, Sawsan Abuhamdah, (unknown), Mutasem O. Taha	16
17	Unsupervised pharmacophore modeling combined with QSAR analyses revealed novel low micromolar SIRT2 inhibitors 2017 ·Journal of Molecular Recognition ·Mohammad A. Khanfar, Mutasem O. Taha	6
18	Computational modeling of the bat HKU4 coronavirus 3CL^pro inhibitors as a tool for the development of antivirals against the emerging Middle East respiratory syndrome (MERS) coronavirus 2017 ·Journal of Molecular Recognition ·Areej Abuhammad, (unknown), Brandon J. Anson, Andrew D. Mesecar, Mutasem O. Taha	21
19	Antiproliferative activity of the isoindigo 5′-Br in HL-60 cells is mediated by apoptosis, dysregulation of mitochondrial functions and arresting cell cycle at G0/G1 phase 2015 ·Cancer Letters ·Ayman Saleh, Mustafa M. El‐Abadelah, Mohammad Azhar Aziz, Mutasem O. Taha, Amre Nasr, Syed A. A. Rizvi	20
20	Evaluation of naproxen and cromolyn activities against cancer cells viability, proliferation, apoptosis, p53 and gene expression of survivin and caspase-3 2013 ·Journal of Enzyme Inhibition and Medicinal Chemistry ·Tarek K. Motawi, Yasser Bustanji, Shohda A. El‐Maraghy, Mutasem O. Taha, (unknown)	44

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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