Ioannis Xénarios
- Molecular Biology top 0.2%
- Genomics and Phylogenetic Studies 31
- Bioinformatics and Genomic Networks 28
- Microbial Metabolic Engineering and Bioproduction 22
- RNA and protein synthesis mechanisms 16
- Gene Regulatory Network Analysis 16
- Metabolomics and Mass Spectrometry Studies 11
- Machine Learning in Bioinformatics 10
- Gene expression and cancer classification 10
- Computational Theory and Mathematics top 0.2%
- Plant Science top 1%
- Immunology top 2%
- Genetics top 1%
- Co-authors
- David EisenbergLydie BougueleretAlan BridgeEdward M. MarcotteEdouard de CastroLuis MendozaBeatrice CucheLorenzo Cerutti
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
Ioannis Xénarios
165 papers receiving 14.0k citations
Hit Papers
Peers
Comparison fields: 5 of 181
- Molecular Biology 10.3k
- Computational Theory and Mathematics 1.2k
- Plant Science 2.0k
- Immunology 1.1k
- Genetics 1.2k
Countries citing papers authored by Ioannis Xénarios
This map shows the geographic impact of Ioannis Xénarios'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 Ioannis Xénarios with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ioannis Xénarios more than expected).
Fields of papers citing papers by Ioannis Xénarios
This network shows the impact of papers produced by Ioannis Xénarios. 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 Ioannis Xénarios. The network helps show where Ioannis Xénarios may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ioannis Xénarios, 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 | 2025 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2022 | 7 | |
| 5 | 2020 | 4 | |
| 6 | 2020 | 7 | |
| 7 | 2020 | 8 | |
| 8 | 2020 | 13 | |
| 9 | 2019 | 58 | |
| 10 | 2019 | 16 | |
| 11 | 2018 | 30 | |
| 12 | 2018 | 74 | |
| 13 | 2017 | 74 | |
| 14 | 2017 | 2 | |
| 15 | 2017 | 7 | |
| 16 | 2016 | 42 | |
| 17 | 2016 | 133 | |
| 18 | 2013 | 32 | |
| 19 | 2013 | 72 | |
| 20 | 2000 | 174 |
About Ioannis Xénarios
Ioannis Xénarios is a scholar working on Molecular Biology, Genetics and Immunology, having authored 171 papers that have together received 14.3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (31 papers), Bioinformatics and Genomic Networks (28 papers), Microbial Metabolic Engineering and Bioproduction (22 papers), RNA and protein synthesis mechanisms (16 papers), Gene Regulatory Network Analysis (16 papers), Metabolomics and Mass Spectrometry Studies (11 papers), Machine Learning in Bioinformatics (10 papers) and Gene expression and cancer classification (10 papers). The work is most often cited by research in Molecular Biology (10.3k citations), Computational Theory and Mathematics (1.2k citations) and Plant Science (2.0k citations). Ioannis Xénarios has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include David Eisenberg, Lydie Bougueleret, Alan Bridge, Edward M. Marcotte, Edouard de Castro, Luis Mendoza, Beatrice Cuche, Lorenzo Cerutti, Nicolas Hulo and Christian J A Sigrist. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.