Eva Yus

2.3k 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
    • Microbial Metabolic Engineering and Bioproduction 2
    • CRISPR and Genetic Engineering 2
    • Gene Regulatory Network Analysis 2
    • Bacterial Genetics and Biotechnology 9

Eva Yus

15 papers receiving 1.1k citations

Peers

Eva Yus
Comparison fields: 5 of 89
  • Microbiology 228
  • Ecology 328
  • Molecular Biology 827
  • Genetics 291
  • Endocrinology 24
Replace Fumiaki Yamao with:
Fumiaki Yamao Japan
Yulia Yuzenkova United Kingdom
Boumediene Soufi Germany
María Lluch‐Senar Spain
Sergo Kasvandik Estonia
Anna G. Green United States
Eric S. Miller United States
Ana Gisele C. Neves‐Ferreira Brazil
Sylvie Nessler France
Bertrand Beckert Germany
Eva Yus relative to Fumiaki Yamao Japan Fumiaki Yamao's profile →
Citations per field
00.5×2.9×
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 2012148
3 2015105
4 201096
5 201195
6 201774
7 201356
8 201236
9 201933
10 201730
11 201630
12 202030
13 201629
14 201422
15 20236

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), Microbial Metabolic Engineering and Bioproduction (2 papers), CRISPR and Genetic Engineering (2 papers) and Gene Regulatory Network Analysis (2 papers). The work is most often cited by research in Microbiology (228 citations), Ecology (328 citations), Molecular Biology (827 citations), Genetics (291 citations) and Endocrinology (24 citations). Eva Yus has collaborated with scholars based in Spain, Germany and United States. Frequent co-authors include Luís Serrano, María Lluch‐Senar, Marc Güell, Peer Bork, Anne‐Claude Gavin, Vera van Noort, Wei‐Hua Chen, Christina Kiel, Sebastian Kühner and Konstantinos Michalodimitrakis. 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.

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