Asif Shahriar
- Molecular Biology
- Oncology
- Computational Theory and Mathematics top 5%
- Infectious Diseases
- Cancer Research
- Co-authors
- Talha Bin EmranMohd. Faijanur - Rob SiddiqueeAar Rafi MahmudFirzan NainuHossain AhmedSaikat MitraMehedy Hasan AbirShafiul Haque
- Topics
- Antibiotic Resistance in Bacteria (4 papers)Computational Drug Discovery Methods (2 papers)Probiotics and Fermented Foods (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaMoleculesBriefings in Bioinformatics
- Partner nations
- BangladeshUnited StatesIndonesia
In The Last Decade
Asif Shahriar
17 papers receiving 748 citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Molecular Biology 326
- Oncology 143
- Computational Theory and Mathematics 92
- Infectious Diseases 90
- Cancer Research 85
Countries citing papers authored by Asif Shahriar
This map shows the geographic impact of Asif Shahriar'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 Asif Shahriar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Asif Shahriar more than expected).
Fields of papers citing papers by Asif Shahriar
This network shows the impact of papers produced by Asif Shahriar. 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 Asif Shahriar. The network helps show where Asif Shahriar may publish in the future.
Co-authorship network of co-authors of Asif Shahriar
This figure shows the co-authorship network connecting the top 25 collaborators of Asif Shahriar. A scholar is included among the top collaborators of Asif Shahriar 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 Asif Shahriar. Asif Shahriar 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 | 0 | |
| 3 | 4 | |
| 4 | 47 | |
| 5 | 3 | |
| 6 | 18 | |
| 7 | 64 | |
| 8 | Multidrug Resistance in Cancer: Understanding Molecular Mechanisms, Immunoprevention and Therapeutic Approachesbreakdown → | 371 |
| 9 | 63 | |
| 10 | 2 | |
| 11 | 21 | |
| 12 | 0 | |
| 13 | 10 | |
| 14 | 75 | |
| 15 | 5 | |
| 16 | 64 | |
| 17 | 3 | |
| 18 | 3 | |
| 19 | 8 | |
| 20 | THE EFFECTS OF DIFFERENT MIXTURES OF MALVA SILVESTRIS, ALHAJI MAURORUM AND MENTHA SPICATA MEDICAL PLANTS ON PERFORMANCE, CARCASS QUALITY AND BLOOD BIOCHEMICAL AND IMMUNITY | 5 |
About Asif Shahriar
Asif Shahriar is a scholar working on Molecular Medicine, Biochemistry and Toxicology, having authored 20 papers that have together received 766 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (4 papers), Computational Drug Discovery Methods (2 papers) and Probiotics and Fermented Foods (2 papers). The work is most often cited by research in Toxicology (24 citations), Molecular Medicine (34 citations) and Pharmacology (52 citations). Asif Shahriar has collaborated with scholars based in Bangladesh, United States and Indonesia. Frequent co-authors include Talha Bin Emran, Mohd. Faijanur - Rob Siddiquee, Aar Rafi Mahmud, Firzan Nainu, Hossain Ahmed, Saikat Mitra, Mehedy Hasan Abir, Shafiul Haque, Kuldeep Dhama and Mohammad Mahmudul Hassan. Their work appears in journals such as SHILAP Revista de lepidopterología, Molecules and Briefings in Bioinformatics.
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.