Chaman Ara Keya

839 total citations
39 papers, 330 citations indexed

About

Chaman Ara Keya is a scholar working on Molecular Biology, Infectious Diseases and Computational Theory and Mathematics. According to data from OpenAlex, Chaman Ara Keya has authored 39 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 11 papers in Infectious Diseases and 6 papers in Computational Theory and Mathematics. Recurrent topics in Chaman Ara Keya's work include vaccines and immunoinformatics approaches (8 papers), SARS-CoV-2 and COVID-19 Research (6 papers) and Computational Drug Discovery Methods (6 papers). Chaman Ara Keya is often cited by papers focused on vaccines and immunoinformatics approaches (8 papers), SARS-CoV-2 and COVID-19 Research (6 papers) and Computational Drug Discovery Methods (6 papers). Chaman Ara Keya collaborates with scholars based in Bangladesh, United Kingdom and Japan. Chaman Ara Keya's co-authors include M. Salimullah, Mohammad Uzzal Hossain, Hiroshi Ashihara, Mahfuzul Hoque, Yasuhiro Inatsu, Abdul Khaleque, Latiful Bari, Keshob Chandra Das, Md. Arif Khan and Abu Hashem and has published in prestigious journals such as PLoS ONE, Scientific Reports and FEBS Letters.

In The Last Decade

Chaman Ara Keya

37 papers receiving 325 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chaman Ara Keya Bangladesh 10 140 73 68 52 35 39 330
Raya Soltane Saudi Arabia 11 126 0.9× 40 0.5× 93 1.4× 71 1.4× 19 0.5× 26 422
Biruk Tesfaye Birhanu South Korea 12 160 1.1× 103 1.4× 40 0.6× 63 1.2× 35 1.0× 24 394
Chongzhi Bai China 8 97 0.7× 78 1.1× 117 1.7× 34 0.7× 13 0.4× 18 331
Eon‐Bee Lee South Korea 11 123 0.9× 101 1.4× 24 0.4× 56 1.1× 39 1.1× 36 362
Ridhwan Abdul Wahab Malaysia 12 120 0.9× 98 1.3× 41 0.6× 100 1.9× 38 1.1× 39 434
Mayra Diosa‐Toro Netherlands 11 195 1.4× 22 0.3× 194 2.9× 50 1.0× 26 0.7× 16 538
Andrea Derksen Germany 6 70 0.5× 47 0.6× 30 0.4× 82 1.6× 14 0.4× 6 352
Arumugam Kamaladevi India 12 236 1.7× 96 1.3× 82 1.2× 46 0.9× 28 0.8× 18 460
Abdelaziz S. A. Abuelsaad Egypt 13 104 0.7× 60 0.8× 22 0.3× 54 1.0× 32 0.9× 31 486

Countries citing papers authored by Chaman Ara Keya

Since Specialization
Citations

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

Fields of papers citing papers by Chaman Ara Keya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chaman Ara Keya. 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 Chaman Ara Keya. The network helps show where Chaman Ara Keya may publish in the future.

Co-authorship network of co-authors of Chaman Ara Keya

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

All Works

20 of 20 papers shown
1.
Hossain, Mohammad Uzzal, et al.. (2024). A meta-analysis of bulk RNA-seq datasets identifies potential biomarkers and repurposable therapeutics against Alzheimer’s disease. Scientific Reports. 14(1). 24717–24717. 2 indexed citations
2.
Rahman, Anisur, et al.. (2024). Gut microbiome composition reveals the distinctiveness between the Bengali people and the Indigenous ethnicities in Bangladesh. Communications Biology. 7(1). 500–500. 1 indexed citations
3.
Arefin, Mohammad Shamsul, et al.. (2024). AITeQ: a machine learning framework for Alzheimer’s prediction using a distinctive five-gene signature. Briefings in Bioinformatics. 25(4).
4.
Hossain, Mohammad Uzzal, et al.. (2024). Subtractive genomics study for the identification of therapeutic targets against Cronobacter sakazakii: A threat to infants. Heliyon. 10(9). e30332–e30332. 6 indexed citations
5.
Hossain, Mohammad Uzzal, et al.. (2023). Investigation of pathogenic germline variants in gastric cancer and development of “GasCanBase” database. Cancer Reports. 6(12). e1906–e1906. 1 indexed citations
6.
Hossain, Mohammad Uzzal, et al.. (2023). Structure-based pharmacological screening, molecular docking and dynamic simulation reveals Dexketoprofen as a repurposable drug against Alzheimer's disease. Informatics in Medicine Unlocked. 43. 101380–101380. 2 indexed citations
7.
Hossain, Mohammad Uzzal, et al.. (2023). Impact of highly deleterious non-synonymous polymorphisms on GRIN2A protein’s structure and function. PLoS ONE. 18(6). e0286917–e0286917. 5 indexed citations
8.
Hossain, Mohammad Uzzal, et al.. (2023). Identification of repurposable drug targets in Mycoplasma pneumoniae using subtractive genomics, molecular docking and dynamics simulation. Heliyon. 9(11). e21466–e21466. 1 indexed citations
9.
Das, Keshob Chandra, et al.. (2022). Proteome-Based Investigation Identified Potential Drug Repurposable Small Molecules Against Monkeypox Disease. Molecular Biotechnology. 66(4). 626–640. 6 indexed citations
10.
Rahman, Anisur, et al.. (2022). Protein-protein interactions network model underlines a link between hormonal and neurological disorders. Informatics in Medicine Unlocked. 28. 100866–100866.
11.
Hossain, Mohammad Uzzal, Yi Wang, A. K. M. Mohiuddin, et al.. (2022). Pathogen-driven gene expression patterns lead to a novel approach to the identification of common therapeutic targets. Scientific Reports. 12(1). 21070–21070. 2 indexed citations
12.
13.
Hossain, Mohammad Uzzal, et al.. (2021). Novel mutations in NSP-1 and PLPro of SARS-CoV-2 NIB-1 genome mount for effective therapeutics. Journal of Genetic Engineering and Biotechnology. 19(1). 52–52. 20 indexed citations
14.
Hossain, Mohammad Uzzal, et al.. (2021). Whole genome sequencing for revealing the point mutations of SARS-CoV-2 genome in Bangladeshi isolates and their structural effects on viral proteins. RSC Advances. 11(61). 38868–38879. 3 indexed citations
15.
Borphukan, Bhabesh, Iftekhar Alam, Chaman Ara Keya, et al.. (2021). Mitochondria-Targeted SmsHSP24.1 Overexpression Stimulates Early Seedling Vigor and Stress Tolerance by Multi-Pathway Transcriptome-Reprogramming. Frontiers in Plant Science. 12. 741898–741898. 6 indexed citations
16.
Hossain, Mohammad Uzzal, et al.. (2020). Insight of druggable cannabinoids against estrogen receptor β in breast cancer. Journal of Biomolecular Structure and Dynamics. 39(5). 1688–1697. 11 indexed citations
17.
Hossain, Mohammad Uzzal, et al.. (2020). Recognition of plausible therapeutic agents to combat COVID-19: An omics data based combined approach. Gene. 771. 145368–145368. 8 indexed citations
18.
19.
Perveen, Rasheda, et al.. (2016). Identification of Microbial Contamination of Popular Fruits of Bangladesh and Assessment the Effects of Alternative Preservatives Instead of Formalin. American journal of microbiological research. 4(5). 138–142. 1 indexed citations
20.
Hossain, Mohammad Uzzal, Md. Arif Khan, Abu Hashem, et al.. (2016). Finding Potential Therapeutic Targets against Shigella flexneri through Proteome Exploration. Frontiers in Microbiology. 7. 1817–1817. 26 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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