Khalid Raza
Impact in
- Health Informatics top 2%
-
- Computational Drug Discovery Methods
Papers in
-
- Gene expression and cancer classification 20
- Bioinformatics and Genomic Networks 18
- Gene Regulatory Network Analysis 13
- Genetics, Bioinformatics, and Biomedical Research 10
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- Computational Drug Discovery Methods 33
- Co-authors
- Shaban Ahmad (44 shared papers)Nripendra Kumar Singh (7 shared papers)Sahar Qazi (38 shared papers)N. A. Wani (7 shared papers)Manoj Kumar Yadav (6 shared papers)Meryam Sardar (3 shared papers)Mansaf Alam (1 shared paper)Hemant K. Gautam (5 shared papers)
- Journals
- Natural Product Communications (7 papers)Journal of Biomolecular Structure and Dynamics (6 papers)International Journal of Biological Macromolecules (5 papers)Scientific Reports (4 papers)PeerJ Computer Science (4 papers)
- Partner nations
- IndiaSaudi ArabiaChina
In The Last Decade
Khalid Raza
156 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 170
- Health Informatics 58
- Computational Theory and Mathematics 413
- Health Information Management 99
- Toxicology 41
- Molecular Biology 750
Countries citing papers authored by Khalid Raza
This map shows the geographic impact of Khalid Raza'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 Khalid Raza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khalid Raza more than expected).
Fields of papers citing papers by Khalid Raza
This network shows the impact of papers produced by Khalid Raza. 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 Khalid Raza. The network helps show where Khalid Raza may publish in the future.
Co-authors
The 25 scholars most cited alongside Khalid Raza, 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 161 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 132 | |
| 2 | 2019 | 94 | |
| 3 | 2018 | 86 | |
| 4 | 2021 | 74 | |
| 5 | 2022 | 64 | |
| 6 | 2023 | 64 | |
| 7 | 2019 | 63 | |
| 8 | 2022 | 62 | |
| 9 | 2020 | 61 | |
| 10 | 2023 | 56 | |
| 11 | 2016 | 50 | |
| 12 | 2022 | 43 | |
| 13 | 2022 | 41 | |
| 14 | 2023 | 39 | |
| 15 | 2022 | 39 | |
| 16 | 2020 | 37 | |
| 17 | 2018 | 35 | |
| 18 | 2012 | 35 | |
| 19 | 2019 | 34 | |
| 20 | 2021 | 32 |
About Khalid Raza
Khalid Raza is a scholar working on Molecular Biology, Computational Theory and Mathematics, Artificial Intelligence, Biomedical Engineering and Infectious Diseases, having authored 161 papers that have together received 2.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (33 papers), Gene expression and cancer classification (20 papers), Bioinformatics and Genomic Networks (18 papers), Gene Regulatory Network Analysis (13 papers), Synthesis and biological activity (11 papers), Genetics, Bioinformatics, and Biomedical Research (10 papers), AI in cancer detection (9 papers) and SARS-CoV-2 and COVID-19 Research (8 papers). The work is most often cited by research in Health Informatics (58 citations), Computational Theory and Mathematics (413 citations), Health Information Management (99 citations), Toxicology (41 citations) and Molecular Biology (750 citations). Khalid Raza has collaborated with scholars based in India, Saudi Arabia and China. Frequent co-authors include Shaban Ahmad, Nripendra Kumar Singh, Sahar Qazi, N. A. Wani, Manoj Kumar Yadav, Meryam Sardar, Mansaf Alam, Hemant K. Gautam, Nadeem Ahmad and Afreen Khan. Their work appears in journals such as Natural Product Communications, Journal of Biomolecular Structure and Dynamics, International Journal of Biological Macromolecules, Scientific Reports and PeerJ Computer Science.
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.