Fazle E. Faisal
Impact in
-
- Complex Network Analysis Techniques
Papers in
-
- Bioinformatics and Genomic Networks 10
- Gene expression and cancer classification 4
- Genomics and Phylogenetic Studies 3
- Gene Regulatory Network Analysis 3
- Microbial Metabolic Engineering and Bioproduction 2
- Protein Structure and Dynamics 2
- Biomedical Text Mining and Ontologies 1
- Aging 1
- Co-authors
- Tijana Milenković (10 shared papers)Han Zhao (3 shared papers)John P. Johnson (1 shared paper)Jun Li (2 shared papers)Scott Emrich (2 shared papers)Patricia L. Clark (2 shared papers)Julie L. Chaney (2 shared papers)Vida Abedi (1 shared paper)
- Journals
- IEEE Transactions on Computational Biology and Bioinformatics (2 papers)Scientific Reports (2 papers)BioData Mining (1 paper)Computer (1 paper)Bioinformatics (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Fazle E. Faisal
12 papers receiving 263 citations
Peers
Comparison fields: 5 of 46
- Aging 12
- Statistical and Nonlinear Physics 45
- Molecular Biology 207
- Computational Theory and Mathematics 46
- Artificial Intelligence 36
Countries citing papers authored by Fazle E. Faisal
This map shows the geographic impact of Fazle E. Faisal'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 Fazle E. Faisal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fazle E. Faisal more than expected).
Fields of papers citing papers by Fazle E. Faisal
This network shows the impact of papers produced by Fazle E. Faisal. 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 Fazle E. Faisal. The network helps show where Fazle E. Faisal may publish in the future.
Co-authors
The 13 scholars most cited alongside Fazle E. Faisal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 66 | |
| 2 | 2015 | 58 | |
| 3 | 2015 | 40 | |
| 4 | 2018 | 33 | |
| 5 | 2017 | 24 | |
| 6 | 2013 | 21 | |
| 7 | 2012 | 8 | |
| 8 | 2014 | 8 | |
| 9 | GRAFENE: Graphlet-based alignment-free network approach integrates 3D structural and sequence (residue order) data to improve protein structural comparison | 2018 | 3 |
| 10 | 2015 | 3 | |
| 11 | 2014 | 2 | |
| 12 | 2025 | 1 |
About Fazle E. Faisal
Fazle E. Faisal is a scholar working on Molecular Biology, Aging, Statistical and Nonlinear Physics, Computational Theory and Mathematics and Artificial Intelligence, having authored 12 papers that have together received 267 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (10 papers), Gene expression and cancer classification (4 papers), Genomics and Phylogenetic Studies (3 papers), Gene Regulatory Network Analysis (3 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Protein Structure and Dynamics (2 papers), Computational Drug Discovery Methods (1 paper) and Biomedical Text Mining and Ontologies (1 paper). The work is most often cited by research in Aging (12 citations), Statistical and Nonlinear Physics (45 citations), Molecular Biology (207 citations), Computational Theory and Mathematics (46 citations) and Artificial Intelligence (36 citations). Fazle E. Faisal has collaborated with scholars based in United States and China. Frequent co-authors include Tijana Milenković, Han Zhao, John P. Johnson, Jun Li, Scott Emrich, Patricia L. Clark, Julie L. Chaney, Vida Abedi, Mohammed Yeasin and Ramin Zand. Their work appears in journals such as IEEE Transactions on Computational Biology and Bioinformatics, Scientific Reports, BioData Mining, Computer and 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.