Taj Mohammad

7.9k total citations · 3 hit papers
191 papers, 5.3k citations indexed

About

Taj Mohammad is a scholar working on Molecular Biology, Organic Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Taj Mohammad has authored 191 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Molecular Biology, 44 papers in Organic Chemistry and 41 papers in Computational Theory and Mathematics. Recurrent topics in Taj Mohammad's work include Computational Drug Discovery Methods (41 papers), Synthesis and biological activity (16 papers) and SARS-CoV-2 and COVID-19 Research (8 papers). Taj Mohammad is often cited by papers focused on Computational Drug Discovery Methods (41 papers), Synthesis and biological activity (16 papers) and SARS-CoV-2 and COVID-19 Research (8 papers). Taj Mohammad collaborates with scholars based in India, Saudi Arabia and United States. Taj Mohammad's co-authors include Md. Imtaiyaz Hassan, Gulam Mustafa Hasan, Asimul Islam, Ahmad Abu Turab Naqvi, Mohamed F. Alajmi, Afzal Hussain, Anas Shamsi, Harry Morrison, Faizan Ahmad and Md Tabish Rehman and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Taj Mohammad

174 papers receiving 5.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Insights into SARS-CoV-2 genome, structure, evolution, pathogenesis and therapies: Structural genomics approach

2020 766 citations Ahmad Abu Turab Naqvi, Taj Mohammad et al. profile →
Advancements in Docking and Molecular Dynamics Simulations Towards Ligand-receptor Interactions and Structure-function Relationships

2018 279 citations Ahmad Abu Turab Naqvi, Taj Mohammad et al. Current Topics in Medicinal Chemistry profile →
Biomedical features and therapeutic potential of rosmarinic acid

2022 139 citations Taj Mohammad, Dharmendra Kumar Yadav et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Taj Mohammad India	39	2.5k	1.2k	932	797	527	191	5.3k
Rituraj Purohit India	52	3.1k 1.3×	1.3k 1.1×	697 0.7×	561 0.7×	531 1.0×	157	5.5k
Asimul Islam India	46	4.4k 1.8×	1.2k 1.0×	473 0.5×	741 0.9×	676 1.3×	316	7.7k
Rajendra Kumar Sweden	12	2.3k 0.9×	1.1k 1.0×	472 0.5×	748 0.9×	389 0.7×	20	4.1k
Hai‐Bin Luo China	38	3.4k 1.4×	752 0.6×	497 0.5×	1.2k 1.5×	324 0.6×	217	6.9k
Nadine Homeyer Germany	11	3.3k 1.3×	1.1k 0.9×	479 0.5×	671 0.8×	501 1.0×	18	4.9k
Ajit Jadhav United States	50	5.1k 2.1×	1.3k 1.1×	386 0.4×	929 1.2×	1.0k 2.0×	150	8.1k
Aurélien Grosdidier Switzerland	21	3.6k 1.5×	1.5k 1.2×	329 0.4×	1.0k 1.3×	568 1.1×	23	6.6k
Mahmoud E. S. Soliman South Africa	33	2.2k 0.9×	1.1k 0.9×	829 0.9×	1.5k 1.8×	897 1.7×	299	5.1k
Douglas E. V. Pires Australia	35	5.1k 2.1×	2.3k 1.9×	967 1.0×	1.5k 1.9×	480 0.9×	93	8.8k
Yechun Xu China	36	2.4k 1.0×	1.2k 1.0×	419 0.4×	699 0.9×	349 0.7×	138	4.1k

Countries citing papers authored by Taj Mohammad

Since Specialization

Citations

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

Fields of papers citing papers by Taj Mohammad

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taj Mohammad

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Mohammad, Taj, et al.. (2025). Discovering potential therapeutic targets in glioblastoma multiforme using a multi-omics approach. Pathology - Research and Practice. 269. 155942–155942.

Hussain, Afzal, et al.. (2025). Seven Hub Genes Associated with Huntington’s Disease and Diagnostic and Therapeutic Potentials Identified by Computational Biology. OMICS A Journal of Integrative Biology. 29(4). 154–163.

Khan, Mateen A., et al.. (2025). Iron activates Alzheimer's amyloid precursor protein synthesis through an iron responsive element (IRE) mRNA binding to translation initiation factor. International Journal of Biological Macromolecules. 321(Pt 3). 146231–146231.

Ahmed, Sayeed, Taj Mohammad, Afzal Hussain, et al.. (2025). Therapeutic Targeting of Interleukin-2-Inducible T-Cell Kinase (ITK) for Cancer and Immunological Disorders: Potential Next-Generation ITK Inhibitors. OMICS A Journal of Integrative Biology. 29(3). 105–115.

Yang, Xiaochun, Taj Mohammad, Xiyan Xiang, et al.. (2025). Microbial metabolite ammonia disrupts TGF-β signaling to promote colon cancer. Journal of Biological Chemistry. 301(6). 108559–108559. 1 indexed citations

Obukhov, Alexander G., K.P. Prabhakaran Nair, Fletcher A. White, et al.. (2024). Dorzolamide intermediates with potential anti-inflammatory activity. European Journal of Pharmacology. 987. 177160–177160. 1 indexed citations

Yang, Xiaochun, Kazufumi Ohshiro, Patricia S. Latham, et al.. (2024). 459 REGULATION OF CEACAM1 IN METABOLIC DYSFUNCTION ASSOCIATED STEATOHEPATITIS (MASH) AND HCC BY TGF-β SIGNALING. Gastroenterology. 166(5). S–1547. 1 indexed citations

Anwar, Saleha, Taj Mohammad, Gulam Mustafa Hasan, et al.. (2023). Investigating MARK4 inhibitory potential of Bacopaside II: Targeting Alzheimer's disease. International Journal of Biological Macromolecules. 245. 125364–125364. 17 indexed citations

Khan, Mateen A., et al.. (2023). Iron response elements (IREs)-mRNA of Alzheimer's amyloid precursor protein binding to iron regulatory protein (IRP1): a combined molecular docking and spectroscopic approach. Scientific Reports. 13(1). 5073–5073. 16 indexed citations

10.

Xue, Bin, Abdelbaset Mohamed Elasbali, Deeba Shamim Jairajpuri, et al.. (2022). Death-Associated Protein Kinase 3 Inhibitors Identified by Virtual Screening for Drug Discovery in Cancer and Hypertension. OMICS A Journal of Integrative Biology. 26(7). 404–413. 10 indexed citations

11.

Mahmood, Riaz, Safia Habib, Mohd Talha, et al.. (2022). Fructosylation of human insulin causes AGEs formation, structural perturbations and morphological changes: an in silico and multispectroscopic study. Journal of Biomolecular Structure and Dynamics. 41(12). 5850–5862. 5 indexed citations

12.

Atiya, Akhtar, Taj Mohammad, Nasser M. Alorfi, et al.. (2022). Desmodin and isopongachromene as potential inhibitors of cyclin-dependent kinase 5: phytoconstituents targeting anticancer and neurological therapy. Journal of Biomolecular Structure and Dynamics. 41(16). 8042–8052. 1 indexed citations

13.

Anjum, Farah, et al.. (2021). Discovery of Natural Compounds as Potential Inhibitors of Human Carbonic Anhydrase II: An Integrated Virtual Screening, Docking, and Molecular Dynamics Simulation Study. OMICS A Journal of Integrative Biology. 25(8). 513–524. 16 indexed citations

14.

Shafie, Alaa, Shama Khan, Farah Anjum, et al.. (2021). Investigating single amino acid substitutions in PIM1 kinase: A structural genomics approach. PLoS ONE. 16(10). e0258929–e0258929. 12 indexed citations

15.

Shahbaaz, Mohd, Mohd Shahnawaz Khan, Farid S. Ataya, et al.. (2021). A computational study on active constituents of Habb-ul-aas and Tabasheer as inhibitors of SARS-CoV-2 main protease. Journal of Biomolecular Structure and Dynamics. 40(17). 7702–7713. 6 indexed citations

16.

Shamsi, Anas, Taj Mohammad, Saleha Anwar, et al.. (2020). Glecaprevir and Maraviroc are high-affinity inhibitors of SARS-CoV-2 main protease: possible implication in COVID-19 therapy. Bioscience Reports. 40(6). 125 indexed citations

17.

Dahiya, Rashmi, Taj Mohammad, Mohamed F. Alajmi, et al.. (2020). Insights into the Conserved Regulatory Mechanisms of Human and Yeast Aging. Biomolecules. 10(6). 882–882. 19 indexed citations

18.

Amir, Mohd., Vijay Kumar, Taj Mohammad, et al.. (2019). Structural and functional impact of non-synonymous SNPs in the CST complex subunit TEN1: structural genomics approach. Bioscience Reports. 39(5). 19 indexed citations

19.

Naqvi, Ahmad Abu Turab, Taj Mohammad, Gulam Mustafa Hasan, & Md. Imtaiyaz Hassan. (2018). Advancements in Docking and Molecular Dynamics Simulations Towards Ligand-receptor Interactions and Structure-function Relationships. Current Topics in Medicinal Chemistry. 18(20). 1755–1768. 279 indexed citations breakdown →

20.

KESSAR, S. V., et al.. (1983). 数種のピロカテコキシドジアニオンの位置選択的モノ‐O‐アルキル化. 400–401. 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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