Bilal Shaker

1.2k total citations · 1 hit paper
21 papers, 771 citations indexed

About

Bilal Shaker is a scholar working on Molecular Biology, Computational Theory and Mathematics and Molecular Medicine. According to data from OpenAlex, Bilal Shaker has authored 21 papers receiving a total of 771 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Computational Theory and Mathematics and 3 papers in Molecular Medicine. Recurrent topics in Bilal Shaker's work include Computational Drug Discovery Methods (8 papers), vaccines and immunoinformatics approaches (7 papers) and Antibiotic Resistance in Bacteria (3 papers). Bilal Shaker is often cited by papers focused on Computational Drug Discovery Methods (8 papers), vaccines and immunoinformatics approaches (7 papers) and Antibiotic Resistance in Bacteria (3 papers). Bilal Shaker collaborates with scholars based in South Korea, Pakistan and Saudi Arabia. Bilal Shaker's co-authors include Dokyun Na, Sajjad Ahmad, Jingyu Lee, Myeong‐Sang Yu, Kwang‐Seok Oh, Sunjoo Ahn, Jin Sook Song, Jae Yong Ryu, Muhammad Tahir ul Qamar and Asad Ullah and has published in prestigious journals such as Bioinformatics, Frontiers in Immunology and Molecules.

In The Last Decade

Bilal Shaker

20 papers receiving 762 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

In silico methods and tools for drug discovery

2021 352 citations Bilal Shaker, Sajjad Ahmad et al. Computers in Biology and Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bilal Shaker South Korea	12	426	276	99	60	58	21	771
Utkarsh Raj India	15	413 1.0×	201 0.7×	105 1.1×	96 1.6×	32 0.6×	51	867
Eduardo Habib Bechelane Maia Brazil	10	375 0.9×	311 1.1×	69 0.7×	78 1.3×	59 1.0×	16	683
Parthiban Marimuthu Finland	13	512 1.2×	194 0.7×	108 1.1×	42 0.7×	41 0.7×	41	839
Michiel Vanmeert Belgium	13	317 0.7×	195 0.7×	102 1.0×	116 1.9×	32 0.6×	16	707
Radoslav Krivák Czechia	6	494 1.2×	339 1.2×	67 0.7×	61 1.0×	28 0.5×	10	769
Stephani Joy Y. Macalino Philippines	12	595 1.4×	425 1.5×	153 1.5×	110 1.8×	35 0.6×	19	942
Sharangdhar S. Phatak United States	11	509 1.2×	332 1.2×	154 1.6×	41 0.7×	72 1.2×	16	799
Shopnil Akash Bangladesh	19	469 1.1×	187 0.7×	165 1.7×	95 1.6×	45 0.8×	91	1.2k
Chun‐Chen Chen Taiwan	12	386 0.9×	170 0.6×	190 1.9×	43 0.7×	80 1.4×	28	908
Umashankar Vetrivel India	22	718 1.7×	164 0.6×	87 0.9×	93 1.6×	70 1.2×	115	1.3k

Countries citing papers authored by Bilal Shaker

Since Specialization

Citations

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

Fields of papers citing papers by Bilal Shaker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bilal Shaker. 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 Bilal Shaker. The network helps show where Bilal Shaker may publish in the future.

Co-authorship network of co-authors of Bilal Shaker

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

All Works

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20 of 20 papers shown

Kim, Ji Hun, Bilal Shaker, Ara Ko, et al.. (2025). Precision medicine approach for in vitro modeling and computational screening of anti-epileptic drugs in pediatric epilepsy patients with SCN2A (R1629L) mutation. Computers in Biology and Medicine. 191. 110100–110100.

Shaker, Bilal, Sunghwan Choi, Shaherin Basith, et al.. (2025). Employing Automated Machine Learning (AutoML) Methods to Facilitate the In Silico ADMET Properties Prediction. Journal of Chemical Information and Modeling. 65(7). 3215–3225. 5 indexed citations

Umair, Muhammad, Zaheer Ahmed, Bilal Shaker, et al.. (2024). A novel homozygous FAM92A gene (CIBAR1) variant further confirms its association with non‐syndromic postaxial polydactyly type A9 (PAPA9). Clinical Genetics. 106(4). 488–493. 2 indexed citations

Ahmad, Sajjad, et al.. (2024). An optimized deep learning approach for blood-brain barrier permeability prediction with ODE integration. Informatics in Medicine Unlocked. 48. 101526–101526. 8 indexed citations

Ullah, Asad, Sajjad Ahmad, Yasir Waheed, et al.. (2023). Identification of Novel Genes and Pathways of Ovarian Cancer Using a Comprehensive Bioinformatic Framework. Applied Biochemistry and Biotechnology. 196(6). 3056–3075. 3 indexed citations

Kim, J., Bilal Shaker, Dokyun Na, et al.. (2023). Genotypes and phenotypes ofDNM1encephalopathy. Journal of Medical Genetics. 60(11). 1076–1083. 3 indexed citations

Shaker, Bilal, Jingyu Lee, Myeong‐Sang Yu, et al.. (2023). A machine learning-based quantitative model (LogBB_Pred) to predict the blood–brain barrier permeability (logBB value) of drug compounds. Bioinformatics. 39(10). 26 indexed citations

Alharbi, Metab, Abdulrahman Alshammari, Abdullah F. Alasmari, et al.. (2022). Whole Proteome-Based Therapeutic Targets Annotation and Designing of Multi-Epitope-Based Vaccines against the Gram-Negative XDR-Alcaligenes faecalis Bacterium. Vaccines. 10(3). 462–462. 10 indexed citations

Shaker, Bilal, Sajjad Ahmad, Junhao Shen, Hyung Wook Kim, & Dokyun Na. (2022). Computational Design of a Multi-Epitope Vaccine Against Porphyromonas gingivalis. Frontiers in Immunology. 13. 806825–806825. 15 indexed citations

10.

Albekairi, Thamer H., Abdulrahman Alshammari, Metab Alharbi, et al.. (2022). Design of a Multi-Epitope Vaccine against Tropheryma whipplei Using Immunoinformatics and Molecular Dynamics Simulation Techniques. Vaccines. 10(5). 691–691. 24 indexed citations

11.

Ullah, Asad, Farah Shahid, Muhammad Tahir ul Qamar, et al.. (2022). An integrative reverse vaccinology, immunoinformatic, docking and simulation approaches towards designing of multi-epitopes based vaccine against monkeypox virus. Journal of Biomolecular Structure and Dynamics. 41(16). 7821–7834. 41 indexed citations

12.

Albutti, Aqel, Asad Ullah, Saba Ismail, et al.. (2022). Vaccinomics to Design a Multi-Epitopes Vaccine for Acinetobacter baumannii. International Journal of Environmental Research and Public Health. 19(9). 5568–5568. 40 indexed citations

13.

Shaker, Bilal, et al.. (2021). In silico methods and tools for drug discovery. Computers in Biology and Medicine. 137. 104851–104851. 352 indexed citations breakdown →

14.

Shaker, Bilal, et al.. (2021). Gas-mediated cancer therapy combined with starvation therapy, ultrasound therapy, chemotherapy, radiotherapy, and photodynamic therapy: a review. Environmental Chemistry Letters. 19(4). 2981–2993. 23 indexed citations

15.

Shaker, Bilal, et al.. (2020). Rational Drug Design for Pseudomonas aeruginosa PqsA Enzyme: An in silico Guided Study to Block Biofilm Formation. Frontiers in Molecular Biosciences. 7. 577316–577316. 21 indexed citations

16.

Khan, Salman Ali, Bilal Shaker, Sajjad Ahmad, et al.. (2020). Towards a novel peptide vaccine for Middle East respiratory syndrome coronavirus and its possible use against pandemic COVID-19. Journal of Molecular Liquids. 324. 114706–114706. 10 indexed citations

17.

Shaker, Bilal, et al.. (2020). User guide for the discovery of potential drugs via protein structure prediction and ligand docking simulation. The Journal of Microbiology. 58(3). 235–244. 37 indexed citations

18.

Shaker, Bilal, Myeong‐Sang Yu, Jin Sook Song, et al.. (2020). LightBBB: computational prediction model of blood–brain-barrier penetration based on LightGBM. Bioinformatics. 37(8). 1135–1139. 121 indexed citations

19.

Shaker, Bilal, et al.. (2020). Introduction of Advanced Methods for Structure-based Drug Discovery. Current Bioinformatics. 16(3). 351–363. 13 indexed citations

20.

Ahmad, Sajjad, Bilal Shaker, Faisal Ahmad, Saad Raza, & Syed Sikander Azam. (2018). Moleculer dynamics simulaiton revealed reciever domain of Acinetobacter baumannii BfmR enzyme as the hot spot for future antibiotics designing. Journal of Biomolecular Structure and Dynamics. 37(11). 2897–2912. 11 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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