Abedalrhman Alkhateeb
Impact in
- Health Informatics top 10%
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- Artificial Intelligence in Healthcare
Papers in
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- Bioinformatics and Genomic Networks 13
- Gene expression and cancer classification 13
- Machine Learning in Bioinformatics 7
- Metabolomics and Mass Spectrometry Studies 5
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- Cancer, Lipids, and Metabolism 5
- Cancer Genomics and Diagnostics 5
- Co-authors
- Luis Rueda (20 shared papers)Alioune Ngom (5 shared papers)Li Zhou (3 shared papers)Waguih ElMaraghy (4 shared papers)Fatma Hilal Yağın (7 shared papers)Mohammad Azzeh (6 shared papers)Cemil Çolak (4 shared papers)Dora Cavallo‐Medved (7 shared papers)
In The Last Decade
Abedalrhman Alkhateeb
40 papers receiving 656 citations
Peers
Comparison fields: 5 of 105
- Health Informatics 18
- Health Information Management 45
- Cancer Research 112
- Aging 13
- Endocrine and Autonomic Systems 43
Countries citing papers authored by Abedalrhman Alkhateeb
This map shows the geographic impact of Abedalrhman Alkhateeb'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 Abedalrhman Alkhateeb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abedalrhman Alkhateeb more than expected).
Fields of papers citing papers by Abedalrhman Alkhateeb
This network shows the impact of papers produced by Abedalrhman Alkhateeb. 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 Abedalrhman Alkhateeb. The network helps show where Abedalrhman Alkhateeb may publish in the future.
Co-authors
The 25 scholars most cited alongside Abedalrhman Alkhateeb, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 84 | |
| 2 | 2022 | 67 | |
| 3 | 2023 | 59 | |
| 4 | 2021 | 58 | |
| 5 | 2019 | 55 | |
| 6 | 2022 | 40 | |
| 7 | 2020 | 33 | |
| 8 | 2020 | 29 | |
| 9 | 2019 | 26 | |
| 10 | 2023 | 23 | |
| 11 | 2023 | 23 | |
| 12 | 2023 | 17 | |
| 13 | 2018 | 17 | |
| 14 | 2023 | 12 | |
| 15 | 2017 | 12 | |
| 16 | 2016 | 12 | |
| 17 | 2016 | 10 | |
| 18 | 1998 | 9 | |
| 19 | 2024 | 9 | |
| 20 | 2023 | 8 |
About Abedalrhman Alkhateeb
Abedalrhman Alkhateeb is a scholar working on Molecular Biology, Cancer Research, Artificial Intelligence, Pulmonary and Respiratory Medicine and Surgery, having authored 46 papers that have together received 669 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (13 papers), Gene expression and cancer classification (13 papers), Machine Learning in Bioinformatics (7 papers), Cancer, Lipids, and Metabolism (5 papers), Cancer Genomics and Diagnostics (5 papers), AI in cancer detection (5 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Artificial Intelligence in Healthcare (4 papers). The work is most often cited by research in Health Informatics (18 citations), Health Information Management (45 citations), Cancer Research (112 citations), Aging (13 citations) and Endocrine and Autonomic Systems (43 citations). Abedalrhman Alkhateeb has collaborated with scholars based in Canada, Jordan and Türkiye. Frequent co-authors include Luis Rueda, Alioune Ngom, Li Zhou, Waguih ElMaraghy, Fatma Hilal Yağın, Mohammad Azzeh, Cemil Çolak, Dora Cavallo‐Medved, Lisa A. Porter and Behnam Shahrrava. Their work appears in journals such as Journal of Clinical Oncology, Evolutionary Bioinformatics, Annals of Oncology, Cancers and Batteries.
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.