Abdulrahman Hussein
Impact in
- Molecular Biology top 1%
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
- Machine Learning in Bioinformatics
- Bioinformatics and Genomic Networks
- RNA modifications and cancer
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- Computational Drug Discovery Methods
Papers in
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- Advanced Proteomics Techniques and Applications 3
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- Genomics and Phylogenetic Studies 5
- Machine Learning in Bioinformatics 2
- Biomedical Text Mining and Ontologies 1
- Journals
- Nucleic Acids Research (6 papers)Bioinformatics (2 papers)Database (1 paper)Bioinformatics Advances (2 papers)
- Partner nations
- United KingdomSwitzerlandNetherlands
In The Last Decade
Abdulrahman Hussein
10 papers receiving 9.8k citations
Abdulrahman Hussein's Hit Papers
Peers
Comparison fields: 5 of 174
- Molecular Biology 5.8k
- Computational Theory and Mathematics 677
- Microbiology 213
- Genetics 948
- Immunology 550
Countries citing papers authored by Abdulrahman Hussein
This map shows the geographic impact of Abdulrahman Hussein'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 Abdulrahman Hussein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abdulrahman Hussein more than expected).
Fields of papers citing papers by Abdulrahman Hussein
This network shows the impact of papers produced by Abdulrahman Hussein. 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 Abdulrahman Hussein. The network helps show where Abdulrahman Hussein may publish in the future.
No co-authors to show.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | UniProt: the universal protein knowledgebase in 2021 Hit paper breakdown → | 2020 | 4788 |
| 2 | UniProt: the Universal Protein Knowledgebase in 2023 Hit paper breakdown → | 2022 | 3877 |
| 3 | UniProt: the Universal Protein Knowledgebase in 2025 Hit paper breakdown → | 2024 | 738 |
| 4 | Annotation of biologically relevant ligands in UniProtKB using ChEBI Hit paper breakdown → | 2022 | 193 |
| 5 | 2019 | 87 | |
| 6 | 2018 | 81 | |
| 7 | 2019 | 60 | |
| 8 | 2020 | 54 | |
| 9 | The UniProt website API: facilitating programmatic access to protein knowledge Hit paper breakdown → | 2025 | 37 |
| 10 | 2023 | 1 | |
| 11 | 2024 | 1 |
About Abdulrahman Hussein
Abdulrahman Hussein is a scholar working on Spectroscopy, Molecular Biology, Biophysics, Information Systems and Ecology, having authored 11 papers that have together received 9.9k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), Advanced Proteomics Techniques and Applications (3 papers), Research Data Management Practices (2 papers), Machine Learning in Bioinformatics (2 papers), Environmental DNA in Biodiversity Studies (2 papers), Cell Image Analysis Techniques (1 paper), Biomedical Text Mining and Ontologies (1 paper) and Genomics and Rare Diseases (1 paper). The work is most often cited by research in Molecular Biology (5.8k citations), Computational Theory and Mathematics (677 citations), Microbiology (213 citations), Genetics (948 citations) and Immunology (550 citations). Abdulrahman Hussein has collaborated with scholars based in United Kingdom, Switzerland and Netherlands. Their work appears in journals such as Nucleic Acids Research, Bioinformatics, Database and Bioinformatics Advances.
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.