Iftikhar Aslam Tayubi

785 total citations
35 papers, 410 citations indexed

About

Iftikhar Aslam Tayubi is a scholar working on Molecular Biology, Infectious Diseases and Organic Chemistry. According to data from OpenAlex, Iftikhar Aslam Tayubi has authored 35 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 4 papers in Infectious Diseases and 4 papers in Organic Chemistry. Recurrent topics in Iftikhar Aslam Tayubi's work include Glycosylation and Glycoproteins Research (3 papers), Lysosomal Storage Disorders Research (3 papers) and Computational Drug Discovery Methods (3 papers). Iftikhar Aslam Tayubi is often cited by papers focused on Glycosylation and Glycoproteins Research (3 papers), Lysosomal Storage Disorders Research (3 papers) and Computational Drug Discovery Methods (3 papers). Iftikhar Aslam Tayubi collaborates with scholars based in Saudi Arabia, India and Qatar. Iftikhar Aslam Tayubi's co-authors include C. George Priya Doss, Siva Ramamoorthy, D. Thirumal Kumar, Hatem Zayed, M.A. Beg, Ishfaq A. Sheikh, Osama S. Bajouh, S. Udhaya Kumar, Chiranjib Chakraborty and R. Magesh and has published in prestigious journals such as BMC Genomics, Ecotoxicology and Environmental Safety and Journal of Cellular Biochemistry.

In The Last Decade

Iftikhar Aslam Tayubi

31 papers receiving 405 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Iftikhar Aslam Tayubi Saudi Arabia 12 157 56 41 36 33 35 410
Meizhou Huang China 16 233 1.5× 77 1.4× 52 1.3× 24 0.7× 22 0.7× 31 569
Niel C. Hoglen United States 12 183 1.2× 70 1.3× 45 1.1× 35 1.0× 14 0.4× 20 493
Shahid Raza Pakistan 16 274 1.7× 72 1.3× 31 0.8× 39 1.1× 52 1.6× 63 870
Fatemeh Sadoughi Iran 14 269 1.7× 27 0.5× 22 0.5× 33 0.9× 31 0.9× 32 659
Sheng‐Wen Wu Taiwan 14 224 1.4× 63 1.1× 23 0.6× 40 1.1× 10 0.3× 42 550
Ubon Cha’on Thailand 16 251 1.6× 41 0.7× 74 1.8× 34 0.9× 51 1.5× 49 697
Paul Lee United States 12 127 0.8× 56 1.0× 50 1.2× 23 0.6× 18 0.5× 22 466
Ann Lampo Belgium 10 164 1.0× 51 0.9× 31 0.8× 18 0.5× 21 0.6× 15 462
M. R. Slaughter United Kingdom 5 203 1.3× 78 1.4× 31 0.8× 12 0.3× 22 0.7× 9 702
Franck A. Atienzar Belgium 11 327 2.1× 66 1.2× 27 0.7× 11 0.3× 21 0.6× 12 913

Countries citing papers authored by Iftikhar Aslam Tayubi

Since Specialization
Citations

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

Fields of papers citing papers by Iftikhar Aslam Tayubi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Iftikhar Aslam Tayubi. 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 Iftikhar Aslam Tayubi. The network helps show where Iftikhar Aslam Tayubi may publish in the future.

Co-authorship network of co-authors of Iftikhar Aslam Tayubi

This figure shows the co-authorship network connecting the top 25 collaborators of Iftikhar Aslam Tayubi. A scholar is included among the top collaborators of Iftikhar Aslam Tayubi 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 Iftikhar Aslam Tayubi. Iftikhar Aslam Tayubi 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.
Reddy, Pundru Chandra Shaker, et al.. (2025). Quantum computing revolution in healthcare: a systematic review of applications, issues and future directions. Artificial Intelligence Review. 58(12). 1 indexed citations
2.
3.
Kumar, S. Udhaya, et al.. (2023). Exome sequence analysis of rare frequency variants in Late-Onset Alzheimer Disease. Metabolic Brain Disease. 38(6). 2025–2036. 3 indexed citations
4.
Kumar, S. Udhaya, et al.. (2023). A new horizon in the phosphorylated sites of AGA: the structural impact of C163S mutation in aspartylglucosaminuria through molecular dynamics simulation. Journal of Biomolecular Structure and Dynamics. 42(8). 4313–4324.
5.
Tayubi, Iftikhar Aslam & Inamul Hasan Madar. (2022). Biomineralization associated alkaline phosphatase as a potential marker of bone metastasis in the patients with invasive breast cancer. Saudi Journal of Biological Sciences. 29(8). 103340–103340. 4 indexed citations
6.
Tayubi, Iftikhar Aslam & Inamul Hasan Madar. (2022). Identification of potential inhibitor targeting KRAS mutation in Papillary Thyroid Carcinoma through molecular docking and dynamic simulation analysis. Computers in Biology and Medicine. 152. 106377–106377. 3 indexed citations
7.
Tayubi, Iftikhar Aslam, et al.. (2021). Comparative Analysis of Security Algorithms used in Cloud Computing. International Conference on Computing for Sustainable Global Development. 4 indexed citations
8.
Tayubi, Iftikhar Aslam, et al.. (2021). Cloud Storage in Context of Amazon Web Services. Open MIND. 10(1). 4 indexed citations
9.
Vasudevan, Karthick, D. Thirumal Kumar, S. Udhaya Kumar, et al.. (2021). A computational overview on phylogenetic characterization, pathogenic mutations, and drug targets for Ebola virus disease. Current Opinion in Pharmacology. 61. 28–35.
10.
Kumar, S. Udhaya, D. Thirumal Kumar, Salma Younes, et al.. (2021). A systemic approach to explore the mechanisms of drug resistance and altered signaling cascades in extensively drug-resistant tuberculosis. Advances in protein chemistry and structural biology. 127. 343–364. 28 indexed citations
11.
12.
Kumar, D. Thirumal, et al.. (2018). A comparative computational approach toward pharmacological chaperones (NN-DNJ and ambroxol) on N370S and L444P mutations causing Gaucher's disease. Advances in protein chemistry and structural biology. 114. 315–339. 30 indexed citations
13.
Kumar, D. Thirumal, Siva Ramamoorthy, Iftikhar Aslam Tayubi, et al.. (2018). Computational and modeling approaches to understand the impact of the Fabry's disease causing mutation (D92Y) on the interaction with pharmacological chaperone 1-deoxygalactonojirimycin (DGJ). Advances in protein chemistry and structural biology. 114. 341–407. 12 indexed citations
14.
Madar, Inamul Hasan, et al.. (2018). Biochemical and phenotypic profiling of Bacillus clausii: a potent commercial probiotic. 1(5). 99–106. 2 indexed citations
15.
Mohan, Sankari, Hridya Hemachandran, Phani Kumar Pullela, et al.. (2017). Prospects and progress in the production of valuable carotenoids: Insights from metabolic engineering, synthetic biology, and computational approaches. Journal of Biotechnology. 266. 89–101. 34 indexed citations
16.
17.
Madar, Inamul Hasan, et al.. (2017). Antibiotic Susceptibility Profile of Bacteria Isolated from Drinking Water Sources in Amai Kingdom, Delta State, Nigeria. Annual Research & Review in Biology. 14(1). 1–9. 3 indexed citations
18.
Kumar, D. Thirumal, C. George Priya Doss, P. Sneha, et al.. (2016). Influence of V54M mutation in giant muscle protein titin: a computational screening and molecular dynamics approach. Journal of Biomolecular Structure and Dynamics. 35(5). 917–928. 46 indexed citations
19.
Sheikh, Ishfaq A., Ejaz Ahmad, Mohammad Sarwar Jamal, et al.. (2016). Spontaneous preterm birth and single nucleotide gene polymorphisms: a recent update. BMC Genomics. 17(S9). 759–759. 50 indexed citations
20.

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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