Bilal Shaker
Impact in
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- Computational Drug Discovery Methods
- Virology top 10%
- Poxvirus research and outbreaks
Papers in
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- vaccines and immunoinformatics approaches 7
- Bioinformatics and Genomic Networks 2
- Machine Learning in Bioinformatics 2
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- Computational Drug Discovery Methods 8
- Co-authors
- Dokyun Na (10 shared papers)Sajjad Ahmad (12 shared papers)Jingyu Lee (4 shared papers)Myeong‐Sang Yu (2 shared papers)Kwang‐Seok Oh (2 shared papers)Sunjoo Ahn (1 shared paper)Jae Yong Ryu (1 shared paper)Jin Sook Song (1 shared paper)
- Journals
- Journal of Biomolecular Structure and Dynamics (2 papers)Bioinformatics (2 papers)Vaccines (2 papers)Computers in Biology and Medicine (2 papers)Applied Biochemistry and Biotechnology (1 paper)
- Partner nations
- South KoreaPakistanSaudi Arabia
In The Last Decade
Bilal Shaker
20 papers receiving 832 citations
Bilal Shaker's Hit Papers
Peers
Comparison fields: 5 of 114
- Computational Theory and Mathematics 275
- Virology 36
- Molecular Biology 426
- Molecular Medicine 30
- Drug Discovery 1
Countries citing papers authored by Bilal Shaker
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
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-authors
The 25 scholars most cited alongside Bilal Shaker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | In silico methods and tools for drug discovery Hit paper breakdown → | 2021 | 376 |
| 2 | 2020 | 130 | |
| 3 | 2022 | 43 | |
| 4 | 2022 | 42 | |
| 5 | 2020 | 40 | |
| 6 | 2023 | 33 | |
| 7 | 2021 | 27 | |
| 8 | 2022 | 26 | |
| 9 | 2020 | 23 | |
| 10 | 2022 | 15 | |
| 11 | 2020 | 13 | |
| 12 | 2025 | 12 | |
| 13 | 2024 | 12 | |
| 14 | 2018 | 11 | |
| 15 | 2022 | 10 | |
| 16 | 2020 | 10 | |
| 17 | 2022 | 9 | |
| 18 | 2023 | 4 | |
| 19 | 2023 | 3 | |
| 20 | 2024 | 2 |
About Bilal Shaker
Bilal Shaker is a scholar working on Molecular Biology, Computational Theory and Mathematics, Molecular Medicine, Infectious Diseases and Pharmacology, having authored 21 papers that have together received 841 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), vaccines and immunoinformatics approaches (7 papers), Antibiotic Resistance in Bacteria (3 papers), Bioinformatics and Genomic Networks (2 papers), Machine Learning in Bioinformatics (2 papers), Bacteriophages and microbial interactions (2 papers), Microbial Natural Products and Biosynthesis (2 papers) and Genetics and Neurodevelopmental Disorders (1 paper). The work is most often cited by research in Computational Theory and Mathematics (275 citations), Virology (36 citations), Molecular Biology (426 citations), Molecular Medicine (30 citations) and Drug Discovery (1 citation). Bilal Shaker has collaborated with scholars based in South Korea, Pakistan and Saudi Arabia. Frequent co-authors include Dokyun Na, Sajjad Ahmad, Jingyu Lee, Myeong‐Sang Yu, Kwang‐Seok Oh, Sunjoo Ahn, Jae Yong Ryu, Jin Sook Song, Muhammad Tahir ul Qamar and Asad Ullah. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Bioinformatics, Vaccines, Computers in Biology and Medicine and Applied Biochemistry and Biotechnology.
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.