Eva Yus
Impact in
- Microbiology top 2%
- Microbial infections and disease research
- Molecular Biology top 10%
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- Microbial Metabolic Engineering and Bioproduction
- Gene Regulatory Network Analysis
- CRISPR and Genetic Engineering
Papers in
-
- Genomics and Phylogenetic Studies 8
- RNA and protein synthesis mechanisms 6
- Gene Regulatory Network Analysis 2
- Microbial Metabolic Engineering and Bioproduction 2
- CRISPR and Genetic Engineering 2
- Genetics 10
- Bacterial Genetics and Biotechnology 9
- Co-authors
- Luís Serrano (13 shared papers)María Lluch‐Senar (10 shared papers)Marc Güell (3 shared papers)Anne‐Claude Gavin (5 shared papers)Peer Bork (5 shared papers)Vera van Noort (4 shared papers)Christina Kiel (1 shared paper)Wei‐Hua Chen (3 shared papers)
- Journals
- Molecular Systems Biology (6 papers)Cell Systems (2 papers)Nucleic Acids Research (2 papers)Nature Communications (2 papers)Cell (1 paper)
- Partner nations
- SpainGermanyNetherlands
In The Last Decade
Eva Yus
15 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 86
- Microbiology 230
- Molecular Biology 837
- Ecology 317
- Genetics 289
- Endocrinology 24
Countries citing papers authored by Eva Yus
This map shows the geographic impact of Eva Yus'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 Eva Yus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Yus more than expected).
Fields of papers citing papers by Eva Yus
This network shows the impact of papers produced by Eva Yus. 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 Eva Yus. The network helps show where Eva Yus may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Yus, 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 | 2009 | 337 | |
| 2 | 2012 | 153 | |
| 3 | 2010 | 107 | |
| 4 | 2015 | 107 | |
| 5 | 2011 | 107 | |
| 6 | 2017 | 77 | |
| 7 | 2013 | 64 | |
| 8 | 2012 | 37 | |
| 9 | 2019 | 34 | |
| 10 | 2020 | 33 | |
| 11 | 2016 | 32 | |
| 12 | 2017 | 30 | |
| 13 | 2016 | 29 | |
| 14 | 2014 | 24 | |
| 15 | 2023 | 8 |
About Eva Yus
Eva Yus is a scholar working on Molecular Biology, Genetics, Ecology, Microbiology and Epidemiology, having authored 15 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (9 papers), Genomics and Phylogenetic Studies (8 papers), Bacteriophages and microbial interactions (7 papers), RNA and protein synthesis mechanisms (6 papers), Microbial infections and disease research (5 papers), Gene Regulatory Network Analysis (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Microbiology (230 citations), Molecular Biology (837 citations), Ecology (317 citations), Genetics (289 citations) and Endocrinology (24 citations). Eva Yus has collaborated with scholars based in Spain, Germany and Netherlands. Frequent co-authors include Luís Serrano, María Lluch‐Senar, Marc Güell, Anne‐Claude Gavin, Peer Bork, Vera van Noort, Christina Kiel, Wei‐Hua Chen, Sebastian Kühner and Manimozhiyan Arumugam. Their work appears in journals such as Molecular Systems Biology, Cell Systems, Nucleic Acids Research, Nature Communications and Cell.
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.