Kinza Rian
Impact in
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- Cell Image Analysis Techniques
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- Bioinformatics and Genomic Networks
- Microbial Metabolic Engineering and Bioproduction
- Gene Regulatory Network Analysis
- Genetics, Bioinformatics, and Biomedical Research
Papers in
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- Bioinformatics and Genomic Networks 3
- Protein Degradation and Inhibitors 1
- Microbial Metabolic Engineering and Bioproduction 1
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- SARS-CoV-2 and COVID-19 Research 1
- Co-authors
- Joaquı́n Dopazo (5 shared papers)Marta R. Hidalgo (4 shared papers)Marina Esteban‐Medina (4 shared papers)Cankut Çubuk (3 shared papers)Carlos Loucera (4 shared papers)María Peña-Chilet (4 shared papers)Matías Marín Falco (3 shared papers)Francisco Salavert (1 shared paper)
- Journals
- Journal of Translational Medicine (1 paper)Scientific Reports (1 paper)BioData Mining (1 paper)Computational and Structural Biotechnology Journal (1 paper)npj Systems Biology and Applications (1 paper)
- Partner nations
- SpainLuxembourgMorocco
In The Last Decade
Kinza Rian
5 papers receiving 67 citations
Peers
Comparison fields: 5 of 41
- Biophysics 5
- Molecular Biology 47
- Cancer Research 10
- Computational Theory and Mathematics 8
- Modeling and Simulation 2
Countries citing papers authored by Kinza Rian
This map shows the geographic impact of Kinza Rian'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 Kinza Rian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kinza Rian more than expected).
Fields of papers citing papers by Kinza Rian
This network shows the impact of papers produced by Kinza Rian. 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 Kinza Rian. The network helps show where Kinza Rian may publish in the future.
Co-authors
The 17 scholars most cited alongside Kinza Rian, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 29 | |
| 2 | 2019 | 19 | |
| 3 | 2021 | 9 | |
| 4 | 2021 | 7 | |
| 5 | 2024 | 4 |
About Kinza Rian
Kinza Rian is a scholar working on Molecular Biology, Infectious Diseases, Computational Theory and Mathematics, Neurology and Genetics, having authored 5 papers that have together received 68 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (3 papers), interferon and immune responses (1 paper), Protein Degradation and Inhibitors (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper), Cancer, Hypoxia, and Metabolism (1 paper), Computational Drug Discovery Methods (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Neuroinflammation and Neurodegeneration Mechanisms (1 paper). The work is most often cited by research in Biophysics (5 citations), Molecular Biology (47 citations), Cancer Research (10 citations), Computational Theory and Mathematics (8 citations) and Modeling and Simulation (2 citations). Kinza Rian has collaborated with scholars based in Spain, Luxembourg and Morocco. Frequent co-authors include Joaquı́n Dopazo, Marta R. Hidalgo, Marina Esteban‐Medina, Cankut Çubuk, Carlos Loucera, María Peña-Chilet, Matías Marín Falco, Francisco Salavert, Francesca Mateo and José Carbonell‐Caballero. Their work appears in journals such as Journal of Translational Medicine, Scientific Reports, BioData Mining, Computational and Structural Biotechnology Journal and npj Systems Biology and Applications.
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.