Eva Yus

2.4k citations
15 papers · 1.1k · h-index 14

Impact in

    • Microbial infections and disease research
  • Ecology top 5%
    • Bacteriophages and microbial interactions

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
    • Bacterial Genetics and Biotechnology 9

Eva Yus

15 papers receiving 1.1k citations

Peers

Eva Yus
Comparison fields: 5 of 86
  • Microbiology 229
  • Ecology 311
  • Molecular Biology 791
  • Genetics 285
  • Endocrinology 23
Replace Fumiaki Yamao with:
Fumiaki Yamao Japan
Yulia Yuzenkova United Kingdom
María Lluch‐Senar Spain
Sergo Kasvandik Estonia
Anna G. Green United States
Ana Gisele C. Neves‐Ferreira Brazil
Sylvie Nessler France
Bertrand Beckert Germany
Kerren K. Swinger United States
Lauri Peil Estonia
Eva Yus relative to Fumiaki Yamao Japan Fumiaki Yamao's profile →
Citations per field
00.5×
Fumiaki Yamao · 1×
Citations per year

Countries citing papers authored by Eva Yus

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

15 of 15 papers shown
#Work
1 2009324
2 2012149
3 2015107
4 201099
5 201195
6 201775
7 201359
8 201236
9 201934
10 202032
11 201631
12 201730
13 201629
14 201422
15 20237

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 1.1k 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 (229 citations), Ecology (311 citations), Molecular Biology (791 citations), Genetics (285 citations) and Endocrinology (23 citations). Eva Yus has collaborated with scholars based in Spain, Germany and Netherlands. Frequent co-authors include Luís Serrano, María Lluch‐Senar, Marc Güell, Peer Bork, Anne‐Claude Gavin, Vera van Noort, Christina Kiel, Wei‐Hua Chen, Sebastian Kühner and Mikita Suyama. Their work appears in journals such as Molecular Systems Biology, Nature Communications, Nucleic Acids Research, Cell Systems and Science.

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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