Meshari Alazmi

1.2k total citations
57 papers, 638 citations indexed

About

Meshari Alazmi is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Meshari Alazmi has authored 57 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 10 papers in Artificial Intelligence and 10 papers in Computational Theory and Mathematics. Recurrent topics in Meshari Alazmi's work include Computational Drug Discovery Methods (9 papers), Protein Structure and Dynamics (7 papers) and Microbial Natural Products and Biosynthesis (4 papers). Meshari Alazmi is often cited by papers focused on Computational Drug Discovery Methods (9 papers), Protein Structure and Dynamics (7 papers) and Microbial Natural Products and Biosynthesis (4 papers). Meshari Alazmi collaborates with scholars based in Saudi Arabia, Pakistan and Malaysia. Meshari Alazmi's co-authors include Olaa Motwalli, Xin Gao, Badiea Abdulkarem Mohammed, Zeyad Ghaleb Al-Mekhlafi, Abdulrahman Alreshidi, Mohammad Alsaffar, ‪Mahmood A. Al-Shareeda‬‏, Selvakumar Manickam, Jalawi Sulaiman Alshudukhi and Rahman Shah Zaib Saleem and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Bioinformatics.

In The Last Decade

Meshari Alazmi

52 papers receiving 627 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meshari Alazmi Saudi Arabia 16 185 101 92 87 76 57 638
Xiaoqing Wang China 10 106 0.6× 54 0.5× 113 1.2× 27 0.3× 62 0.8× 54 630
Hongyang Li China 14 351 1.9× 75 0.7× 241 2.6× 44 0.5× 40 0.5× 53 925
Bhanu Sharma India 14 159 0.9× 33 0.3× 76 0.8× 24 0.3× 35 0.5× 60 580
Yanli Wang China 11 375 2.0× 191 1.9× 463 5.0× 39 0.4× 91 1.2× 37 887
Tomasz Arodź United States 12 247 1.3× 72 0.7× 220 2.4× 32 0.4× 73 1.0× 27 601
M. Hanumanthappa India 14 139 0.8× 156 1.5× 37 0.4× 21 0.2× 127 1.7× 98 706
Sajid Mahmood Pakistan 17 165 0.9× 70 0.7× 72 0.8× 41 0.5× 10 0.1× 61 972
Kazuhide Fukushima Japan 19 280 1.5× 207 2.0× 33 0.4× 49 0.6× 21 0.3× 94 1.1k
V. Srinivasa Rao India 9 406 2.2× 43 0.4× 86 0.9× 144 1.7× 16 0.2× 32 768

Countries citing papers authored by Meshari Alazmi

Since Specialization
Citations

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

Fields of papers citing papers by Meshari Alazmi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meshari Alazmi

This figure shows the co-authorship network connecting the top 25 collaborators of Meshari Alazmi. A scholar is included among the top collaborators of Meshari Alazmi 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 Meshari Alazmi. Meshari Alazmi 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
2.
Ramadan, Rabie Α., et al.. (2025). Advancing respiratory disease diagnosis: A deep learning and vision transformer-based approach with a novel X-ray dataset. Computers in Biology and Medicine. 194. 110501–110501. 1 indexed citations
4.
Shi, Lei, Abderahmane Derouiche, Santosh Pandit, et al.. (2024). Connection between protein-tyrosine kinase inhibition and coping with oxidative stress in Bacillus subtilis. Proceedings of the National Academy of Sciences. 121(25). e2321890121–e2321890121. 1 indexed citations
5.
Alazmi, Meshari. (2024). Enzyme catalytic efficiency prediction: employing convolutional neural networks and XGBoost. Frontiers in Artificial Intelligence. 7. 1446063–1446063. 5 indexed citations
6.
Abdulhussain, Sadiq H., et al.. (2023). Performance Analysis of Adopting FSO Technology for Wireless Data Center Network. Systems. 11(9). 482–482. 2 indexed citations
7.
Alazmi, Meshari, et al.. (2023). Generalized Penalized Constrained Regression: Sharp Guarantees in High Dimensions with Noisy Features. Mathematics. 11(17). 3706–3706.
8.
Rasool, Alvina, Syed Zajif Hussain, Javed Iqbal, et al.. (2023). Synthesis and Photophysical, Electrochemical, and DFT Studies of Piperidyl and Pyrrolidinyl Chalcones. ACS Omega. 8(31). 28499–28510. 11 indexed citations
9.
Al-Mekhlafi, Zeyad Ghaleb, ‪Mahmood A. Al-Shareeda‬‏, Selvakumar Manickam, et al.. (2023). Efficient Authentication Scheme for 5G-Enabled Vehicular Networks Using Fog Computing. Sensors. 23(7). 3543–3543. 33 indexed citations
10.
Al-Mekhlafi, Zeyad Ghaleb, ‪Mahmood A. Al-Shareeda‬‏, Selvakumar Manickam, et al.. (2023). Chebyshev Polynomial-Based Fog Computing Scheme Supporting Pseudonym Revocation for 5G-Enabled Vehicular Networks. Electronics. 12(4). 872–872. 34 indexed citations
11.
Abdullah, Nibras, Badiea Abdulkarem Mohammed, Zeyad Ghaleb Al-Mekhlafi, et al.. (2022). IoT-Based Waste Management System in Formal and Informal Public Areas in Mecca. International Journal of Environmental Research and Public Health. 19(20). 13066–13066. 14 indexed citations
12.
Rasool, Alvina, Syed Zajif Hussain, Javed Iqbal, et al.. (2022). Synthesis, photophysical, electrochemical and computational studies of novel 2-aminoimidazolones with D-π-A framework. Journal of Photochemistry and Photobiology A Chemistry. 429. 113918–113918. 8 indexed citations
13.
Alazmi, Meshari, et al.. (2021). Applying a Hydrophilic Modified Hollow Fiber Membrane to Reduce Fouling in Artificial Lungs. Separations. 8(8). 113–113. 1 indexed citations
14.
Alazmi, Meshari, et al.. (2021). In silico characterization, docking, and simulations to understand host–pathogen interactions in an effort to enhance crop production in date palms. Journal of Molecular Modeling. 27(11). 339–339. 4 indexed citations
15.
Alam, Tanvir, Meshari Alazmi, Afaque A. Momin, et al.. (2019). Proteome-level assessment of origin, prevalence and function of leucine-aspartic acid (LD) motifs. Bioinformatics. 36(4). 1121–1128. 8 indexed citations
16.
Alazmi, Meshari, et al.. (2018). A Slice-based C-detected NMR Spin System Forming and Resonance Assignment Method. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 15(6). 1999–2008. 1 indexed citations
17.
Javed, Ibrahim, Abdul‐Hamid Emwas, Meshari Alazmi, et al.. (2018). Synthesis and identification of novel pyridazinylpyrazolone based diazo compounds as inhibitors of human islet amyloid polypeptide aggregation. Bioorganic Chemistry. 84. 339–346. 10 indexed citations
18.
Khan, Sardaraz, Rahim Ullah, Abdul‐Hamid Emwas, et al.. (2018). Identification and characterization of SSE15206, a microtubule depolymerizing agent that overcomes multidrug resistance. Scientific Reports. 8(1). 3305–3305. 26 indexed citations
19.
Chotana, Ghayoor Abbas, Tayyaba Shahzadi, Meshari Alazmi, et al.. (2018). Iridium-Catalyzed Regioselective Borylation of Substituted Biaryls. Synthesis. 50(11). 2211–2220. 6 indexed citations
20.
He, Zhiquan, Meshari Alazmi, Jingfen Zhang, & Dong Xu. (2013). Protein Structural Model Selection by Combining Consensus and Single Scoring Methods. PLoS ONE. 8(9). e74006–e74006. 14 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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