Mohsen Shahlaei

3.9k total citations
171 papers, 3.2k citations indexed

About

Mohsen Shahlaei is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Mohsen Shahlaei has authored 171 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Molecular Biology, 36 papers in Computational Theory and Mathematics and 34 papers in Organic Chemistry. Recurrent topics in Mohsen Shahlaei's work include Computational Drug Discovery Methods (36 papers), Analytical Chemistry and Chromatography (20 papers) and Protein Interaction Studies and Fluorescence Analysis (20 papers). Mohsen Shahlaei is often cited by papers focused on Computational Drug Discovery Methods (36 papers), Analytical Chemistry and Chromatography (20 papers) and Protein Interaction Studies and Fluorescence Analysis (20 papers). Mohsen Shahlaei collaborates with scholars based in Iran, United States and China. Mohsen Shahlaei's co-authors include Sajad Moradi, Negin Farhadian, Afshin Fassihi, Amin Nowroozi, Komail Sadrjavadi, Lotfollah Saghaie, Elham Arkan, Armin Madadkar‐Sobhani, Meysam Safari and Reza Khodarahmi‬ and has published in prestigious journals such as Chemical Reviews, Journal of Hazardous Materials and Journal of Cleaner Production.

In The Last Decade

Mohsen Shahlaei

164 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohsen Shahlaei Iran 33 1.3k 606 557 517 447 171 3.2k
Defang Ouyang Macao 38 1.4k 1.1× 740 1.2× 816 1.5× 399 0.8× 592 1.3× 142 4.4k
Massoud Amanlou Iran 38 1.8k 1.4× 438 0.7× 661 1.2× 1.1k 2.1× 407 0.9× 283 5.1k
Wenyuan Liu China 38 2.2k 1.7× 1.0k 1.7× 437 0.8× 606 1.2× 1.0k 2.3× 319 5.8k
Siavoush Dastmalchi Iran 31 1.3k 1.0× 321 0.5× 258 0.5× 610 1.2× 302 0.7× 178 3.2k
Jie Dong China 35 1.7k 1.3× 937 1.5× 1.1k 2.0× 728 1.4× 815 1.8× 136 4.4k
Hassan A. Alhazmi Saudi Arabia 31 1.1k 0.9× 366 0.6× 176 0.3× 394 0.8× 378 0.8× 176 3.4k
M. Paul Gleeson Thailand 23 1.3k 1.0× 358 0.6× 1.3k 2.3× 753 1.5× 401 0.9× 85 3.1k
Prashant Singh India 32 695 0.5× 720 1.2× 426 0.8× 1.1k 2.2× 294 0.7× 199 3.3k
Andreas G. Tzakos Greece 34 1.8k 1.4× 271 0.4× 271 0.5× 665 1.3× 243 0.5× 171 4.1k
Patrick Trouillas France 38 1.7k 1.3× 307 0.5× 271 0.5× 1.5k 2.9× 233 0.5× 108 4.9k

Countries citing papers authored by Mohsen Shahlaei

Since Specialization
Citations

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

Fields of papers citing papers by Mohsen Shahlaei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohsen Shahlaei

This figure shows the co-authorship network connecting the top 25 collaborators of Mohsen Shahlaei. A scholar is included among the top collaborators of Mohsen Shahlaei 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 Mohsen Shahlaei. Mohsen Shahlaei 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
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Moradi, Sajad, et al.. (2024). A review on description dynamics and conformational changes of proteins using combination of principal component analysis and molecular dynamics simulation. Computers in Biology and Medicine. 183. 109245–109245. 23 indexed citations
4.
Nowroozi, Amin, et al.. (2024). Exploration of lipid bilayer mechanical properties using molecular dynamics simulation. Archives of Biochemistry and Biophysics. 761. 110151–110151. 3 indexed citations
5.
Motamedi, Hamid, Ramin Abiri, Mohsen Shahlaei, et al.. (2023). Designing a novel multi-epitopes pan-vaccine against SARS-CoV-2 and seasonal influenza: in silico and immunoinformatics approach. Journal of Biomolecular Structure and Dynamics. 42(20). 10761–10784. 8 indexed citations
6.
Moradi, Sajad, et al.. (2023). Computational assessment of lipid facilitated membrane permeation of vancomycin using force-probe molecular dynamic simulation. Journal of Biomolecular Structure and Dynamics. 42(17). 1–11. 1 indexed citations
7.
Moghaddam, Mahdieh S. Hosseyni, et al.. (2023). Computational investigation on the potential inhibitory effect of fungal metabolites against viral RdRp of SARS-CoV-2 and HCV. Journal of Molecular Liquids. 390. 123153–123153. 3 indexed citations
8.
Moradi, Sajad, et al.. (2021). Evaluation of the effects of isoniazid and rifampin on the structure and activity of pepsin enzyme by multi spectroscopy and molecular modeling methods. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 253. 119523–119523. 17 indexed citations
9.
Shahlaei, Mohsen, et al.. (2021). A novel fluorescent turn-on probe for hydrogen peroxide based on carbon dots. Journal of Materials Science Materials in Electronics. 32(5). 5615–5623. 5 indexed citations
10.
Karami, Changiz, Mohammad Ali Taher, & Mohsen Shahlaei. (2020). A simple method for determination of mercury (II) ions by PNBS-doped carbon dots as a fluorescent probe. Journal of Materials Science Materials in Electronics. 31(8). 5975–5983. 23 indexed citations
11.
Moradi, Sajad, et al.. (2020). Targeting SARS-COV-2 non-structural protein 16: a virtual drug repurposing study. Journal of Biomolecular Structure and Dynamics. 39(13). 4633–4646. 53 indexed citations
12.
Malakooti, Reihaneh, et al.. (2020). Preparation and Characterization of Magnetic Polypyrrole Composite Microspheres Decorated with Copper (II) As A Sensing Platform for Electrochemical Detection of Carbamazepine.. Iranian journal of pharmaceutical research. 19(4). 19–34. 3 indexed citations
13.
Azandaryani, Abbas Hemati, Soheila Kashanian, Mohsen Shahlaei, et al.. (2019). A Comprehensive Physicochemical, In Vitro and Molecular Characterization of Letrozole Incorporated Chitosan-Lipid Nanocomplex. Pharmaceutical Research. 36(4). 62–62. 34 indexed citations
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Shahlaei, Mohsen, et al.. (2014). A novel method for simultaneous determination of codeine and acetaminophen in plasma by combination of UVVis spectroscopy and artificial neural network. Journal of Reports in Pharmaceutical Sciences. 3(2). 141–141. 4 indexed citations
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Shahlaei, Mohsen, et al.. (2014). A Conformational Analysis Study on the Melanocortin 4 Receptor Using Multiple Molecular Dynamics Simulations. Chemical Biology & Drug Design. 86(3). 309–321. 12 indexed citations
18.
Shahlaei, Mohsen. (2013). Descriptor Selection Methods in Quantitative Structure–Activity Relationship Studies: A Review Study. Chemical Reviews. 113(10). 8093–8103. 171 indexed citations
19.
Shahlaei, Mohsen, et al.. (2010). QSAR study of anthranilic acid sulfonamides as inhibitors of methionine aminopeptidase-2 using LS-SVM and GRNN based on principal components. European Journal of Medicinal Chemistry. 45(10). 4499–4508. 55 indexed citations
20.
Gholivand, Mohammad Bagher, et al.. (2009). Application of Adsorptive Cathodic Stripping Voltammetry for Determination of Trace Amounts of Zinc Using Nalidixic Acid as a Chelating Agent. Chemia Analityczna. 54(4). 655–666. 1 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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