Foysal Ahammad
- Molecular Biology
- Computational Theory and Mathematics top 1%
- Infectious Diseases top 10%
- Oncology
- Organic Chemistry
- Co-authors
- Abdus SamadRahat AlamF A Dain Md OpoAbdullah M. AsiriIstiak AhmedMohammed M. RahmanMohiuddin Ahmed BhuiyanMohammad Habibur Rahman Molla
- Topics
- Computational Drug Discovery Methods (17 papers)vaccines and immunoinformatics approaches (5 papers)Synthesis and biological activity (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsPLoS Biology
- Partner nations
- Saudi ArabiaBangladeshQatar
In The Last Decade
Foysal Ahammad
39 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Molecular Biology 589
- Computational Theory and Mathematics 370
- Infectious Diseases 166
- Oncology 141
- Organic Chemistry 136
Countries citing papers authored by Foysal Ahammad
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 19 | |
| 3 | 2 | |
| 4 | 31 | |
| 5 | 13 | |
| 6 | 10 | |
| 7 | 23 | |
| 8 | 12 | |
| 9 | 20 | |
| 10 | 28 | |
| 11 | 48 | |
| 12 | 13 | |
| 13 | 17 | |
| 14 | 44 | |
| 15 | Structure based pharmacophore modeling, virtual screening, molecular docking and ADMET approaches for identification of natural anti-cancer agents targeting XIAP proteinbreakdown → | 206 |
| 16 | 31 | |
| 17 | 7 | |
| 18 | 13 | |
| 19 | 22 | |
| 20 | 11 |
About Foysal Ahammad
Foysal Ahammad is a scholar working on Computational Theory and Mathematics, Molecular Biology and Toxicology, having authored 40 papers that have together received 1.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (17 papers), vaccines and immunoinformatics approaches (5 papers) and Synthesis and biological activity (4 papers). The work is most often cited by research in Computational Theory and Mathematics (370 citations), Infectious Diseases (166 citations) and Molecular Biology (589 citations). Foysal Ahammad has collaborated with scholars based in Saudi Arabia, Bangladesh and Qatar. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and PLoS Biology.
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.