Khalid Kunji

679 citations
23 papers · 416 · h-index 8

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
    • Genetic Associations and Epidemiology 5

Khalid Kunji

23 papers receiving 410 citations

Peers

Khalid Kunji
Comparison fields: 5 of 69
  • Molecular Biology 271
  • Computational Theory and Mathematics 55
  • Virology 13
  • Materials Chemistry 73
  • Microbiology 8
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Citations per field
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Citations per year

Countries citing papers authored by Khalid Kunji

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Khalid Kunji Line = papers co-authored together Khalid Kunji links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018161
2 201788
3 201837
4 201830
5 201926
6 201816
7 202113
8 20229
9 20226
10 20156
11 20176
12 20184
13 20162
14 20242
15 20172
16 20241
17 20171
18 20241
19 20221
20 20211

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 416 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 (271 citations), Computational Theory and Mathematics (55 citations), Virology (13 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, Halima Bensmail, Gwo‐Yu Chuang, Sameer Khurana, Peter D. Kwong, Chen‐Hsiang Shen, Prasanna R. Kolatkar, Michele Ceccarelli and Ehsan Ullah. Their work appears in journals such as Bioinformatics, Journal of the American College of Cardiology, BMC Bioinformatics, Journal of Clinical Medicine and Nucleic Acids Research.

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.

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