Khalid Kunji
Impact in
-
- Machine Learning in Bioinformatics
- Protein Structure and Dynamics
- Protein purification and stability
- RNA and protein synthesis mechanisms
- vaccines and immunoinformatics approaches
- Genomics and Phylogenetic Studies
-
- Computational Drug Discovery Methods
Papers in
-
- Bioinformatics and Genomic Networks 4
- Gene expression and cancer classification 2
- Machine Learning in Bioinformatics 2
- Protein Structure and Dynamics 2
- Genetics 6
- Genetic Associations and Epidemiology 5
- Co-authors
- Raghvendra Mall (11 shared papers)Reda Rawi (5 shared papers)Gwo‐Yu Chuang (3 shared papers)Halima Bensmail (10 shared papers)Sameer Khurana (1 shared paper)Peter D. Kwong (1 shared paper)Chen‐Hsiang Shen (1 shared paper)Prasanna R. Kolatkar (3 shared papers)
- Journals
- Bioinformatics (5 papers)Journal of the American College of Cardiology (2 papers)Journal of Clinical Medicine (2 papers)BMC Bioinformatics (2 papers)Briefings in Bioinformatics (1 paper)
- Partner nations
- QatarUnited StatesItaly
In The Last Decade
Khalid Kunji
23 papers receiving 400 citations
Peers
Comparison fields: 5 of 68
- Molecular Biology 263
- Computational Theory and Mathematics 55
- Virology 9
- Materials Chemistry 73
- Microbiology 8
Countries citing papers authored by Khalid Kunji
This map shows the geographic impact of Khalid Kunji'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 Kunji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khalid Kunji more than expected).
Fields of papers citing papers by Khalid Kunji
This network shows the impact of papers produced by Khalid Kunji. 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 Kunji. The network helps show where Khalid Kunji may publish in the future.
Co-authors
The 25 scholars most cited alongside Khalid Kunji, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 156 | |
| 2 | 2017 | 87 | |
| 3 | 2018 | 36 | |
| 4 | 2018 | 29 | |
| 5 | 2019 | 25 | |
| 6 | 2018 | 16 | |
| 7 | 2021 | 12 | |
| 8 | 2022 | 9 | |
| 9 | 2022 | 6 | |
| 10 | 2015 | 6 | |
| 11 | 2017 | 6 | |
| 12 | 2018 | 4 | |
| 13 | 2016 | 2 | |
| 14 | 2024 | 2 | |
| 15 | 2017 | 2 | |
| 16 | 2024 | 1 | |
| 17 | 2017 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2021 | 1 |
About Khalid Kunji
Khalid Kunji is a scholar working on Molecular Biology, Genetics, Materials Chemistry, Pulmonary and Respiratory Medicine and Computational Theory and Mathematics, having authored 23 papers that have together received 406 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (5 papers), Bioinformatics and Genomic Networks (4 papers), Enzyme Structure and Function (3 papers), Ferroptosis and cancer prognosis (2 papers), Gene expression and cancer classification (2 papers), Machine Learning in Bioinformatics (2 papers), Protein Structure and Dynamics (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Molecular Biology (263 citations), Computational Theory and Mathematics (55 citations), Virology (9 citations), Materials Chemistry (73 citations) and Microbiology (8 citations). Khalid Kunji has collaborated with scholars based in Qatar, United States and Italy. Frequent co-authors include Raghvendra Mall, Reda Rawi, Gwo‐Yu Chuang, Halima Bensmail, Sameer Khurana, Peter D. Kwong, Chen‐Hsiang Shen, Prasanna R. Kolatkar, Ehsan Ullah and Mohamad Saad. Their work appears in journals such as Bioinformatics, Journal of the American College of Cardiology, Journal of Clinical Medicine, BMC Bioinformatics and Briefings in Bioinformatics.
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.