Said Moshawih

1.8k total citations
39 papers, 550 citations indexed

About

Said Moshawih is a scholar working on Molecular Biology, Pharmacology and Computational Theory and Mathematics. According to data from OpenAlex, Said Moshawih has authored 39 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Pharmacology and 7 papers in Computational Theory and Mathematics. Recurrent topics in Said Moshawih's work include Computational Drug Discovery Methods (7 papers), Pharmacological Effects of Natural Compounds (4 papers) and Synthesis and biological activity (3 papers). Said Moshawih is often cited by papers focused on Computational Drug Discovery Methods (7 papers), Pharmacological Effects of Natural Compounds (4 papers) and Synthesis and biological activity (3 papers). Said Moshawih collaborates with scholars based in Malaysia, Brunei and Jordan. Said Moshawih's co-authors include Long Chiau Ming, Hui Poh Goh, Nurolaini Kifli, Qais Jarrar, Khang Wen Goh, Andi Hermansyah, Bey Hing Goh, Mei Jun Loy, Yaser Mohammed Al‐Worafi and Md. Sanower Hossain and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Molecules.

In The Last Decade

Said Moshawih

34 papers receiving 533 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Said Moshawih Malaysia 14 133 108 106 62 57 39 550
Dragoș Paul Mihai Romania 15 157 1.2× 89 0.8× 66 0.6× 55 0.9× 71 1.2× 49 504
Siti Munirah Mohd Faudzi Malaysia 14 189 1.4× 156 1.4× 80 0.8× 41 0.7× 56 1.0× 44 591
Tripti Sharma India 11 166 1.2× 222 2.1× 112 1.1× 86 1.4× 65 1.1× 31 614
Werner Cordier South Africa 11 113 0.8× 61 0.6× 129 1.2× 43 0.7× 99 1.7× 33 451
Neetu Sachan India 14 144 1.1× 197 1.8× 165 1.6× 35 0.6× 51 0.9× 67 647
Femi Olawale South Africa 13 161 1.2× 64 0.6× 98 0.9× 74 1.2× 28 0.5× 34 471
Neelaveni Thangavel Saudi Arabia 13 206 1.5× 90 0.8× 64 0.6× 73 1.2× 51 0.9× 31 546
Kesavanarayanan Krishnan Selvarajan Malaysia 11 95 0.7× 161 1.5× 86 0.8× 79 1.3× 115 2.0× 28 459
Parthasarathi Panda India 11 185 1.4× 98 0.9× 71 0.7× 46 0.7× 40 0.7× 28 368
Ofentse Mazimba Botswana 12 144 1.1× 173 1.6× 142 1.3× 21 0.3× 72 1.3× 37 528

Countries citing papers authored by Said Moshawih

Since Specialization
Citations

This map shows the geographic impact of Said Moshawih'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 Said Moshawih with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Said Moshawih more than expected).

Fields of papers citing papers by Said Moshawih

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Said Moshawih. 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 Said Moshawih. The network helps show where Said Moshawih may publish in the future.

Co-authorship network of co-authors of Said Moshawih

This figure shows the co-authorship network connecting the top 25 collaborators of Said Moshawih. A scholar is included among the top collaborators of Said Moshawih 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 Said Moshawih. Said Moshawih is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Moshawih, Said, et al.. (2025). Machine learning optimization of environmental factors influencing biomass and nutritional composition in local algal species. Royal Society Open Science. 12(4). 241336–241336.
2.
Benali, Taoufiq, Abdelhakim Bouyahya, Long Chiau Ming, et al.. (2025). Role of structure-based drug design (SBDD) in the repurposing and discovery of anti-viral leads against Monkeypox virus disease. Results in Chemistry. 16. 102317–102317.
3.
Moshawih, Said, Ming K. Lim, Hwai Chyuan Ong, et al.. (2025). Transforming healthcare sustainability: Circular economy approaches and stakeholder collaboration. Sustainable Futures. 10. 101199–101199.
4.
Aanniz, Tarik, Nasreddine El Omari, Saad Bakrim, et al.. (2025). Biological activities of Centaurium erythraea and its main chemotypes: menthol, carvacrol, and tricosane. AMB Express. 15(1). 152–152.
5.
Assaggaf, Hamza, Naoufal El Hachlafi, Mohamed Taibi, et al.. (2025). Rosmarinus officinalis suppresses cancer cell viability and inflammatory mediators in RAW 264.7 cells: in vitro and in silico analysis. Discover Oncology. 16(1). 1219–1219.
6.
Moshawih, Said, et al.. (2024). Insights into the computer-aided drug design and discovery based on anthraquinone scaffold for cancer treatment: A systematic review. PLoS ONE. 19(5). e0301396–e0301396. 2 indexed citations
8.
Moshawih, Said, Hui Poh Goh, Nurolaini Kifli, et al.. (2024). Consensus holistic virtual screening for drug discovery: a novel machine learning model approach. Journal of Cheminformatics. 16(1). 62–62. 10 indexed citations
9.
Jarrar, Bashir M., Qais Jarrar, Majed Mowanes Alruwaili, et al.. (2023). Hydroxychloroquine Toxicity in the Vital Organs of the Body: In Vivo Study. Frontiers in Bioscience-Landmark. 28(7). 137–137. 5 indexed citations
11.
Jarrar, Qais, Rami Ayoub, Yazun Jarrar, et al.. (2023). Flumazenil Pretreatment Reduces Mefenamic Acid-Induced Central Nervous System Toxicity in Mice. Journal of Integrative Neuroscience. 22(4). 104–104. 3 indexed citations
12.
Moshawih, Said, et al.. (2022). Drug/Natural Products-Related problems in Elderly. 5(1). 2 indexed citations
13.
Moshawih, Said, Chrismawan Ardianto, Khang Wen Goh, et al.. (2022). Target-Based Small Molecule Drug Discovery for Colorectal Cancer: A Review of Molecular Pathways and In Silico Studies. Biomolecules. 12(7). 878–878. 17 indexed citations
14.
Dhaliwal, Jagjit Singh, Said Moshawih, Khang Wen Goh, et al.. (2022). Pharmacotherapeutics Applications and Chemistry of Chalcone Derivatives. Molecules. 27(20). 7062–7062. 75 indexed citations
15.
Moshawih, Said, Long Chiau Ming, Hanis Hanum Zulkifly, et al.. (2022). Coriandrum sativum L.:A review on ethnopharmacology, phytochemistry, and cardiovascular benefits. Monash University Research Portal (Monash University). 61 indexed citations
16.
Jarrar, Qais, et al.. (2022). Synthesis and Biological Evaluation of Hydroxypropyl Ester of MefenamicAcid as a Promising Prodrug. Letters in Drug Design & Discovery. 20(2). 144–152. 4 indexed citations
17.
Hossain, Md. Sanower, Md. Abdul Kader, Khang Wen Goh, et al.. (2022). Herb and Spices in Colorectal Cancer Prevention and Treatment: A Narrative Review. Frontiers in Pharmacology. 13. 865801–865801. 35 indexed citations
18.
Jarrar, Qais, et al.. (2021). Evaluation of hair growth properties of Topical Kombucha tea extracts. Advances in Traditional Medicine. 22(1). 155–161. 8 indexed citations
19.
Moshawih, Said, et al.. (2019). Potential application of resveratrol in nanocarriers against cancer: Overview and future trends. Journal of Drug Delivery Science and Technology. 53. 101187–101187. 22 indexed citations
20.
Moshawih, Said, et al.. (2017). Cosmos caudatus extract/fractions reduce smooth muscle cells migration and invasion in vitro : A potential benefit of suppressing atherosclerosis. Porto Biomedical Journal. 2(6). 293–300. 7 indexed citations

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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