Foysal Ahammad

1.8k total citations · 1 hit paper
40 papers, 1.1k citations indexed

About

Foysal Ahammad is a scholar working on Molecular Biology, Computational Theory and Mathematics and Oncology. According to data from OpenAlex, Foysal Ahammad has authored 40 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 17 papers in Computational Theory and Mathematics and 7 papers in Oncology. Recurrent topics in Foysal Ahammad's work include Computational Drug Discovery Methods (17 papers), vaccines and immunoinformatics approaches (5 papers) and Synthesis and biological activity (4 papers). Foysal Ahammad is often cited by papers focused on Computational Drug Discovery Methods (17 papers), vaccines and immunoinformatics approaches (5 papers) and Synthesis and biological activity (4 papers). Foysal Ahammad collaborates with scholars based in Saudi Arabia, Bangladesh and Qatar. Foysal Ahammad's co-authors include Abdus Samad, Rahat Alam, F A Dain Md Opo, Abdullah M. Asiri, Istiak Ahmed, Mohammed M. Rahman, Mohiuddin Ahmed Bhuiyan, Mohammad Habibur Rahman Molla, Zulkar Nain and Mohammed Othman Aljahdali and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and PLoS Biology.

In The Last Decade

Foysal Ahammad

39 papers receiving 1.1k 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.

Structure based pharmacophore modeling, virtual screening, molecular docking and ADMET approaches for identification of natural anti-cancer agents targeting XIAP protein

2021 206 citations F A Dain Md Opo, Mohammed M. Rahman et al. Scientific Reports profile →

Peers

Foysal Ahammad

CTM

ONCOL

Sumra Wajid Abbasi Pakistan

Xiaohua Ma China

Vidya Rajendran India

M. Yu. Lobanov Russia

Yuan-Ling Xia China

Jieling Zhao United States

Sarah Naomi Bolz Germany

Umashankar Vetrivel India

Shopnil Akash Bangladesh

Yanmin Zhang China

Sumra Wajid Abbasi Pakistan

Foysal Ahammad

584 ×1.0

313 ×0.8

CTM

261 ×1.6

66 ×0.5

ONCOL

169 ×1.2

Citations per year, relative to Foysal Ahammad Foysal Ahammad (= 1×) peers Sumra Wajid Abbasi

Countries citing papers authored by Foysal Ahammad

Since Specialization

Citations

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

Fields of papers citing papers by Foysal Ahammad

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Foysal Ahammad

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

All Works

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20 of 20 papers shown

Islam, Sk Injamamul, Mazen Almehmadi, Mamdouh Allahyani, et al.. (2025). Investigating new drugs from marine seaweed metabolites for cervical cancer therapy by molecular dynamic modeling approach. Scientific Reports. 15(1). 3866–3866.

Islam, Md Tarikul, et al.. (2024). Molecular docking, QSAR, and simulation analyses of EGFR-targeting phytochemicals in non-small cell lung cancer. Journal of Molecular Structure. 1321. 139924–139924. 19 indexed citations

Baqar, Zulqarnain, et al.. (2024). Development and design of CRISPR-based diagnostic for Acinetobacter baumannii by employing off-target gene editing of sgRNA. Informatics in Medicine Unlocked. 46. 101462–101462. 2 indexed citations

Islam, Sk Injamamul, Foysal Ahammad, & Haitham H. Mohammed. (2024). Cutting‐edge technologies for detecting and controlling fish diseases: Current status, outlook, and challenges. Journal of the World Aquaculture Society. 55(2). 31 indexed citations

Akhter, Shahina, Foysal Ahammad, Md. Moniruzzaman, et al.. (2023). Natural defense against multi-drug resistant Pseudomonas aeruginosa: Cassia occidentalis L. in vitro and in silico antibacterial activity. RSC Advances. 13(41). 28773–28784. 13 indexed citations

Samad, Abdus, Rahat Alam, Ahad Amer Alsaiari, et al.. (2023). Computational formulation of a multiepitope vaccine unveils an exceptional prophylactic candidate against Merkel cell polyomavirus. Frontiers in Immunology. 14. 1160260–1160260. 10 indexed citations

Molla, Mohammad Habibur Rahman, Mohammed Othman Aljahdali, Md Afsar Ahmed Sumon, et al.. (2023). Integrative Ligand-Based Pharmacophore Modeling, Virtual Screening, and Molecular Docking Simulation Approaches Identified Potential Lead Compounds against Pancreatic Cancer by Targeting FAK1. Pharmaceuticals. 16(1). 120–120. 23 indexed citations

Alam, Rahat, Abdus Samad, Foysal Ahammad, et al.. (2023). In silico formulation of a next-generation multiepitope vaccine for use as a prophylactic candidate against Crimean-Congo hemorrhagic fever. BMC Medicine. 21(1). 36–36. 12 indexed citations

Ahammad, Foysal, et al.. (2023). Mitochondrial dysfunction: A notable contributor to the progression of Alzheimer's and Parkinson's disease. Heliyon. 9(3). e14387–e14387. 20 indexed citations

10.

Khames, Ahmed, Mohammed A. S. Abourehab, Abdus Samad, et al.. (2022). Computational Identification of Druggable Bioactive Compounds from Catharanthus roseus and Avicennia marina against Colorectal Cancer by Targeting Thymidylate Synthase. Molecules. 27(7). 2089–2089. 28 indexed citations

11.

Alsaiari, Ahad Amer, Mohammad Habibur Rahman Molla, Amer H. Asseri, et al.. (2022). Application of Mathematical Modeling and Computational Tools in the Modern Drug Design and Development Process. Molecules. 27(13). 4169–4169. 48 indexed citations

12.

Sumon, Md Afsar Ahmed, Mohammad Habibur Rahman Molla, Foysal Ahammad, et al.. (2022). Epigenetics and Probiotics Application toward the Modulation of Fish Reproductive Performance. Fishes. 7(4). 189–189. 13 indexed citations

13.

Asseri, Amer H., Faisal A. Alzahrani, Ahmed Khames, et al.. (2022). Toward the Identification of Natural Antiviral Drug Candidates against Merkel Cell Polyomavirus: Computational Drug Design Approaches. Pharmaceuticals. 15(5). 501–501. 17 indexed citations

14.

Samad, Abdus, Suza Mohammad Nur, Rahat Alam, et al.. (2021). Spike protein recognizer receptor ACE2 targeted identification of potential natural antiviral drug candidates against SARS-CoV-2. International Journal of Biological Macromolecules. 191. 1114–1125. 44 indexed citations

15.

Opo, F A Dain Md, Mohammed M. Rahman, Foysal Ahammad, et al.. (2021). Structure based pharmacophore modeling, virtual screening, molecular docking and ADMET approaches for identification of natural anti-cancer agents targeting XIAP protein. Scientific Reports. 11(1). 19106–19106. 206 indexed citations breakdown →

16.

Alam, Rahat, et al.. (2021). Transporter associated with antigen processing 1 (TAP1) expression and prognostic analysis in breast, lung, liver, and ovarian cancer. Journal of Molecular Medicine. 99(9). 1293–1309. 31 indexed citations

17.

Opo, F A Dain Md, Mohammed M. Rahman, Foysal Ahammad, et al.. (2021). Author Correction: Structure based pharmacophore modeling, virtual screening, molecular docking and ADMET approaches for identification of natural anti-cancer agents targeting XIAP protein. Scientific Reports. 11(1). 7 indexed citations

18.

Alam, Rahat, et al.. (2020). A multi-omics approach to reveal the key evidence of GDF10 as a novel therapeutic biomarker for breast cancer. Informatics in Medicine Unlocked. 21. 100463–100463. 13 indexed citations

19.

Alam, Rahat, et al.. (2020). High expression of bone morphogenetic protein 1 (BMP1) is associated with a poor survival rate in human gastric cancer, a dataset approaches. Genomics. 113(1). 1141–1154. 22 indexed citations

20.

Alam, Rahat, et al.. (2020). Validation of CSN1S1 transcriptional expression, promoter methylation, and prognostic power in breast cancer using independent datasets. Biochemistry and Biophysics Reports. 24. 100867–100867. 11 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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