Ute Bertsche

1.7k citations
24 papers · 1.3k · h-index 17

Impact in

Papers in

    • Bacterial biofilms and quorum sensing 5
    • RNA and protein synthesis mechanisms 4
    • Bacterial Genetics and Biotechnology 10

Ute Bertsche

22 papers receiving 1.3k citations

Peers

Ute Bertsche
Comparison fields: 5 of 90
  • Molecular Medicine 222
  • Genetics 597
  • Endocrinology 106
  • Microbiology 123
  • Infectious Diseases 248
Replace Pavel Branny with:
Pavel Branny Czechia
David J. Haydon United Kingdom
Gudrun Koch Germany
Hongbaek Cho United States
Lok‐To Sham United States
Günther Muth Germany
Undine Mechold France
Yoshikazu Kawai United Kingdom
Alexander J. F. Egan United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Ute Bertsche

Since Specialization
Citations

This map shows the geographic impact of Ute Bertsche'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 Ute Bertsche with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ute Bertsche more than expected).

Fields of papers citing papers by Ute Bertsche

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ute Bertsche. 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 Ute Bertsche. The network helps show where Ute Bertsche may publish in the future.

Co-authors

The 25 scholars most cited alongside Ute Bertsche, 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 Ute Bertsche Line = papers co-authored together Ute Bertsche links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007330
2 2006149
3 2005128
4 2007115
5 2011102
6 201481
7 201378
8 201456
9 201836
10 201134
11 201430
12 201429
13 202024
14 201024
15 202321
16 202117
17 202216
18 20239
19 20175
20 20164

About Ute Bertsche

Ute Bertsche is a scholar working on Molecular Biology, Genetics, Ecology, Infectious Diseases and Plant Science, having authored 24 papers that have together received 1.3k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (10 papers), Bacteriophages and microbial interactions (7 papers), Antimicrobial Resistance in Staphylococcus (6 papers), Bacterial biofilms and quorum sensing (5 papers), RNA and protein synthesis mechanisms (4 papers), Plant-Microbe Interactions and Immunity (3 papers), Legume Nitrogen Fixing Symbiosis (2 papers) and Microbial Community Ecology and Physiology (2 papers). The work is most often cited by research in Molecular Medicine (222 citations), Genetics (597 citations), Endocrinology (106 citations), Microbiology (123 citations) and Infectious Diseases (248 citations). Ute Bertsche has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Waldemar Vollmer, Eefjan Breukink, Claudine Fraipont, Martine Nguyen‐Distèche, Mark Stahl, Soo‐Jin Yang, Christopher Weidenmaier, Arnold S. Bayer, Christoph Mayer and Kai Kannenberg. Their work appears in journals such as Molecular Microbiology, Scientific Reports, Antimicrobial Agents and Chemotherapy, Journal of Biological Chemistry and Food Chemistry X.

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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