Kinza Rian
Impact in
-
- Cell Image Analysis Techniques
Papers in
-
- Cell Image Analysis Techniques 2
-
- Bioinformatics and Genomic Networks 6
- Microbial Metabolic Engineering and Bioproduction 2
- Single-cell and spatial transcriptomics 2
- Machine Learning in Bioinformatics 1
- Co-authors
- Joaquı́n Dopazo (6 shared papers)Marina Esteban‐Medina (5 shared papers)María Peña-Chilet (5 shared papers)Carlos Loucera (5 shared papers)Matías Marín Falco (4 shared papers)Marta R. Hidalgo (4 shared papers)Cankut Çubuk (3 shared papers)Carmen Herranz (1 shared paper)
- Journals
- Molecular Systems Biology (2 papers)npj Systems Biology and Applications (2 papers)Signal Transduction and Targeted Therapy (1 paper)BioData Mining (1 paper)Computational and Structural Biotechnology Journal (1 paper)
- Partner nations
- SpainUnited KingdomLuxembourg
In The Last Decade
Kinza Rian
11 papers receiving 228 citations
Peers
Comparison fields: 5 of 63
- Health Informatics 8
- Biophysics 14
- Infectious Diseases 38
- Molecular Biology 120
- Computational Theory and Mathematics 29
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 | 2021 | 52 | |
| 2 | 2024 | 44 | |
| 3 | 2020 | 40 | |
| 4 | 2019 | 29 | |
| 5 | 2019 | 19 | |
| 6 | 2021 | 12 | |
| 7 | 2021 | 10 | |
| 8 | 2021 | 9 | |
| 9 | 2024 | 9 | |
| 10 | 2021 | 8 | |
| 11 | 2024 | 6 |
About Kinza Rian
Kinza Rian is a scholar working on Biophysics, Molecular Biology, Computational Theory and Mathematics, Infectious Diseases and Cancer Research, having authored 11 papers that have together received 238 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (6 papers), Computational Drug Discovery Methods (3 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Single-cell and spatial transcriptomics (2 papers), Cell Image Analysis Techniques (2 papers), Machine Learning in Bioinformatics (1 paper) and CAR-T cell therapy research (1 paper). The work is most often cited by research in Health Informatics (8 citations), Biophysics (14 citations), Infectious Diseases (38 citations), Molecular Biology (120 citations) and Computational Theory and Mathematics (29 citations). Kinza Rian has collaborated with scholars based in Spain, United Kingdom and Luxembourg. Frequent co-authors include Joaquı́n Dopazo, Marina Esteban‐Medina, María Peña-Chilet, Carlos Loucera, Matías Marín Falco, Marta R. Hidalgo, Cankut Çubuk, Carmen Herranz, Francesca Mateo and Miguel Ángel Pujana. Their work appears in journals such as Molecular Systems Biology, npj Systems Biology and Applications, Signal Transduction and Targeted Therapy, BioData Mining and Computational and Structural Biotechnology Journal.
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.