Hashem O. Alsaab

2.5k total citations
92 papers, 1.8k citations indexed

About

Hashem O. Alsaab is a scholar working on Molecular Biology, Biomedical Engineering and Cancer Research. According to data from OpenAlex, Hashem O. Alsaab has authored 92 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 20 papers in Biomedical Engineering and 19 papers in Cancer Research. Recurrent topics in Hashem O. Alsaab's work include Cancer-related molecular mechanisms research (10 papers), Nanoplatforms for cancer theranostics (8 papers) and MicroRNA in disease regulation (8 papers). Hashem O. Alsaab is often cited by papers focused on Cancer-related molecular mechanisms research (10 papers), Nanoplatforms for cancer theranostics (8 papers) and MicroRNA in disease regulation (8 papers). Hashem O. Alsaab collaborates with scholars based in Saudi Arabia, United States and Egypt. Hashem O. Alsaab's co-authors include Arun K. Iyer, Rami M. Alzhrani, Samaresh Sau, Prashant Kesharwani, Yusuf S. Althobaiti, Atiah H. Almalki, Almohanad A. Alkayyal, Stephen M. Mahler, Ahmad Bakur Mahmoud and Martina L. Jones and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Research and Scientific Reports.

In The Last Decade

Hashem O. Alsaab

88 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hashem O. Alsaab Saudi Arabia 24 548 394 293 288 153 92 1.8k
Magdalena Skonieczna Poland 20 450 0.8× 360 0.9× 305 1.0× 214 0.7× 88 0.6× 81 1.6k
Yuxuan Zhu China 26 486 0.9× 250 0.6× 230 0.8× 246 0.9× 89 0.6× 92 1.8k
Xiuling Lü United States 25 504 0.9× 581 1.5× 272 0.9× 640 2.2× 111 0.7× 78 1.9k
Dadong Guo China 24 635 1.2× 492 1.2× 617 2.1× 394 1.4× 386 2.5× 125 2.6k
Xiaobin Zhao China 20 858 1.6× 375 1.0× 159 0.5× 596 2.1× 123 0.8× 64 2.1k
Boxuan Li China 23 502 0.9× 247 0.6× 200 0.7× 272 0.9× 54 0.4× 79 1.6k
Yuxin Li China 22 541 1.0× 295 0.7× 313 1.1× 231 0.8× 58 0.4× 61 1.5k
Ioannis S. Vizirianakis Greece 26 980 1.8× 362 0.9× 271 0.9× 446 1.5× 101 0.7× 136 2.5k
Rongrong Wang China 20 736 1.3× 383 1.0× 245 0.8× 372 1.3× 55 0.4× 88 2.1k
Huan Peng China 28 1.0k 1.8× 516 1.3× 229 0.8× 230 0.8× 98 0.6× 102 2.0k

Countries citing papers authored by Hashem O. Alsaab

Since Specialization
Citations

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

Fields of papers citing papers by Hashem O. Alsaab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hashem O. Alsaab. 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 Hashem O. Alsaab. The network helps show where Hashem O. Alsaab may publish in the future.

Co-authorship network of co-authors of Hashem O. Alsaab

This figure shows the co-authorship network connecting the top 25 collaborators of Hashem O. Alsaab. A scholar is included among the top collaborators of Hashem O. Alsaab 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 Hashem O. Alsaab. Hashem O. Alsaab 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.
Alsaab, Hashem O. & Saeed Shirazian. (2025). High-fidelity prediction of drug solubility in supercritical CO₂ for pharmaceutical applications using advanced computational modeling. European Journal of Pharmaceutical Sciences. 215. 107321–107321.
2.
Alsaab, Hashem O., et al.. (2025). Intelligence modeling of solubility of raloxifene and density of solvent for green supercritical processing of medicines for enhanced solubility. Scientific Reports. 15(1). 34615–34615. 1 indexed citations
3.
Huwaimel, Bader, et al.. (2025). Enhancing thermal stability of pectinase using thermal titration molecular dynamics and density functional theory approach. Journal of Biomolecular Structure and Dynamics. 43(18). 11225–11242. 1 indexed citations
4.
5.
Alsaab, Hashem O., et al.. (2024). Sustainable synthesis and dual adsorption of methyl orange and cadmium ions using biogenic silica-based fibrous silica functionalized with crown ether ionic liquid. Journal of Colloid and Interface Science. 679(Pt B). 555–568. 23 indexed citations
6.
Kumar, Vinay, et al.. (2023). Improved UNet Deep Learning Model for Automatic Detection of Lung Cancer Nodules. Computational Intelligence and Neuroscience. 2023(1). 9739264–9739264. 11 indexed citations
7.
Hjazi, Ahmed, Rasha Fadhel Obaid, Hashem O. Alsaab, et al.. (2023). The cross-talk between LncRNAs and JAK-STAT signaling pathway in cancer. Pathology - Research and Practice. 248. 154657–154657. 15 indexed citations
8.
Zamanian, Mohammad Yasin, Reena Gupta, KDV Prasad, et al.. (2023). miR‐221 and Parkinson's disease: A biomarker with therapeutic potential. European Journal of Neuroscience. 59(2). 283–297. 7 indexed citations
9.
Jiang, Mingyang, Raed H. Althomali, Shakeel Ahmed Ansari, et al.. (2023). Advances in preparation, biomedical, and pharmaceutical applications of chitosan-based gold, silver, and magnetic nanoparticles: A review. International Journal of Biological Macromolecules. 251. 126390–126390. 41 indexed citations
10.
11.
Mansoor, Sana, Sammia Shahid, Mohsin Javed, et al.. (2022). Green synthesis of a MnO-GO-Ag nanocomposite using leaf extract of Fagonia arabica and its antioxidant and anti-inflammatory performance. Nano-Structures & Nano-Objects. 29. 100835–100835. 21 indexed citations
12.
Wattoo, Javed Iqbal, et al.. (2022). Nanomedicines Targeting Heat Shock Protein 90 Gene Expression in the Therapy of Breast Cancer. ChemistrySelect. 7(14). 4 indexed citations
13.
Alterary, Seham S., et al.. (2022). Olive Leaf Extracts for a Green Synthesis of Silver-Functionalized Multi-Walled Carbon Nanotubes. Journal of Functional Biomaterials. 13(4). 224–224. 12 indexed citations
14.
Alzhrani, Rami M., Hashem O. Alsaab, Mohammed Atef, et al.. (2021). CD44 Targeted Nanomaterials for Treatment of Triple-Negative Breast Cancer. Cancers. 13(4). 898–898. 36 indexed citations
15.
Alsaab, Hashem O., et al.. (2021). Nanomaterials for Antiangiogenic Therapies for Cancer: A Promising Tool for Personalized Medicine. International Journal of Molecular Sciences. 22(4). 1631–1631. 37 indexed citations
16.
Almalki, Atiah H., Hashem O. Alsaab, Walaa F. Alsanie, et al.. (2021). Potential Benefits of N-Acetylcysteine in Preventing Pregabalin-Induced Seeking-Like Behavior. Healthcare. 9(4). 376–376. 2 indexed citations
17.
Alsaab, Hashem O., Rami M. Alzhrani, Yusuf S. Althobaiti, et al.. (2020). Progress in Clinical Trials of Photodynamic Therapy for Solid Tumors and the Role of Nanomedicine. Cancers. 12(10). 2793–2793. 102 indexed citations
18.
Althobaiti, Yusuf S., Fahad S. Alshehri, Atiah H. Almalki, et al.. (2020). Gabapentin-induced drug-seeking-like behavior: a potential role for the dopaminergic system. Scientific Reports. 10(1). 10445–10445. 10 indexed citations
19.
Althobaiti, Yusuf S., Atiah H. Almalki, Hashem O. Alsaab, et al.. (2019). Pregabalin: Potential for Addiction and a Possible Glutamatergic Mechanism. Scientific Reports. 9(1). 15136–15136. 17 indexed citations
20.
Alzhrani, Rami M., et al.. (2019). Improving the therapeutic efficiency of noncoding RNAs in cancers using targeted drug delivery systems. Drug Discovery Today. 25(4). 718–730. 45 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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