Fazle E. Faisal

425 total citations
15 papers, 243 citations indexed

About

Fazle E. Faisal is a scholar working on Molecular Biology, Artificial Intelligence and Aging. According to data from OpenAlex, Fazle E. Faisal has authored 15 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 2 papers in Artificial Intelligence and 2 papers in Aging. Recurrent topics in Fazle E. Faisal's work include Bioinformatics and Genomic Networks (14 papers), Gene Regulatory Network Analysis (5 papers) and Gene expression and cancer classification (4 papers). Fazle E. Faisal is often cited by papers focused on Bioinformatics and Genomic Networks (14 papers), Gene Regulatory Network Analysis (5 papers) and Gene expression and cancer classification (4 papers). Fazle E. Faisal collaborates with scholars based in United States and China. Fazle E. Faisal's co-authors include Tijana Milenković, Han Zhao, John P. Johnson, Jun Li, Scott Emrich, Patricia L. Clark, Julie L. Chaney, Huili Chen, Mohammed Yeasin and Vida Abedi and has published in prestigious journals such as Bioinformatics, Scientific Reports and Computer.

In The Last Decade

Fazle E. Faisal

15 papers receiving 237 citations

Peers

Fazle E. Faisal
Benjamin Hescott United States
Dylan Bourgeois Switzerland
Manuel Middendorf United States
Leslie O’Bray Switzerland
Giulia Muzio Switzerland
Benjamin Hescott United States
Fazle E. Faisal
Citations per year, relative to Fazle E. Faisal Fazle E. Faisal (= 1×) peers Benjamin Hescott

Countries citing papers authored by Fazle E. Faisal

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Fazle E. Faisal

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

All Works

15 of 15 papers shown
1.
Nath, Suman, et al.. (2025). From Search Engines to Action Engines. Computer. 58(6). 59–68. 1 indexed citations
2.
Faisal, Fazle E., Julie L. Chaney, Jun Li, et al.. (2020). Author Correction: GRAFENE: Graphlet-based alignment-free network approach integrates 3D structural and sequence (residue order) data to improve protein structural comparison. Scientific Reports. 10(1). 13455–13455. 1 indexed citations
3.
Faisal, Fazle E., Julie L. Chaney, Jun Li, et al.. (2018). GRAFENE: Graphlet-based alignment-free network approach integrates 3D structural and sequence (residue order) data to improve protein structural comparison. 3 indexed citations
4.
Johnson, John P., et al.. (2018). From homogeneous to heterogeneous network alignment via colored graphlets. Scientific Reports. 8(1). 12524–12524. 30 indexed citations
5.
Faisal, Fazle E., Julie L. Chaney, Jun Li, et al.. (2017). GRAFENE: Graphlet-based alignment-free network approach integrates 3D structural and sequence (residue order) data to improve protein structural comparison. Scientific Reports. 7(1). 14890–14890. 19 indexed citations
6.
Faisal, Fazle E., et al.. (2015). The post-genomic era of biological network alignment. PubMed. 2015(1). 3–3. 53 indexed citations
7.
Faisal, Fazle E., Han Zhao, & Tijana Milenković. (2015). Global Network Alignment in the Context of Aging. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 12(1). 40–52. 35 indexed citations
8.
Faisal, Fazle E., et al.. (2015). Improving Identification of Key Players in Aging via Network De-Noising and Core Inference. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 14(5). 1056–1069. 3 indexed citations
9.
Faisal, Fazle E. & Tijana Milenković. (2014). Dynamic networks reveal key players in aging. Bioinformatics. 30(12). 1721–1729. 62 indexed citations
10.
Faisal, Fazle E., Han Zhao, & Tijana Milenković. (2014). Global network alignment in the context of aging. 580–580. 8 indexed citations
11.
Chen, Huili, et al.. (2014). Improving identification of key players in aging via network de-noising. 164–173. 2 indexed citations
12.
Faisal, Fazle E. & Tijana Milenković. (2013). Dynamic networks reveal key players in aging. 662–662. 1 indexed citations
13.
Milenković, Tijana, Han Zhao, & Fazle E. Faisal. (2013). Global Network Alignment In The Context Of Aging. 23–32. 21 indexed citations
14.
Milenković, Tijana, Han Zhao, & Fazle E. Faisal. (2013). Using Global Network Alignment In The Context Of Aging. 661–661. 1 indexed citations
15.
Abedi, Vida, Ramin Zand, Mohammed Yeasin, & Fazle E. Faisal. (2012). An automated framework for hypotheses generation using literature. BioData Mining. 5(1). 13–13. 3 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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