Ute Römling

19.8k citations
174 papers · 15.3k indexed · 6 hit papers · h-index 64

Ute Römling

172 papers receiving 15.0k citations

Hit Papers

Bacterial cellulose biosynthesis: div...41620012026200920174008001.2k

Peers

Ute Römling
Comparison fields: 5 of 155
  • Endocrinology 4.2k
  • Molecular Medicine 2.3k
  • Microbiology 1.2k
  • Molecular Biology 9.9k
  • Biotechnology 1.2k
Replace Leo Eberl with:
Leo Eberl Switzerland
Kim Lewis United States
Staffan Normark Sweden
Tom Coenye Belgium
Jean‐Marc Ghigo France
Chris Whitfield Canada
Miguel Cámara United Kingdom
Daniel J. Wozniak United States
Gerald B. Pier United States
Lian‐Hui Zhang China
Ute Römling relative to Leo Eberl Switzerland Leo Eberl's profile →
Citations per field
00.5×1.5×
Leo Eberl · 1×
Citations per year

Countries citing papers authored by Ute Römling

Since Specialization
Citations

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

Fields of papers citing papers by Ute Römling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20242
3 202313
4 202216
5 202216
6 20226
7 20219
8 202116
9 20215
10 202111
11 20208
12 202024
13 20205
14 20197
15
First clinical isolation report of Shewanella algae from the stools of a patient with acute enteritis in Spain.
20186
16
Primer aislamiento clínico en España de Shewanella algae en heces de un paciente con enteritis aguda
20181
17 201815
18 201782
19 201722
20
C‐di‐GMP: the dawning of a novel bacterial signalling systembreakdown →
2005524

About Ute Römling

Ute Römling is a scholar working on Endocrinology, Molecular Medicine, Microbiology, Genetics and Molecular Biology, having authored 174 papers that have together received 15.3k indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (89 papers), Bacterial Genetics and Biotechnology (61 papers), Vibrio bacteria research studies (37 papers), Antibiotic Resistance in Bacteria (33 papers), Genomics and Phylogenetic Studies (24 papers), Bacteriophages and microbial interactions (21 papers), Antimicrobial Peptides and Activities (13 papers) and Plant Pathogenic Bacteria Studies (13 papers). The work is most often cited by research in Endocrinology (4.2k citations), Molecular Medicine (2.3k citations), Microbiology (1.2k citations), Molecular Biology (9.9k citations) and Biotechnology (1.2k citations). Ute Römling has collaborated with scholars based in Sweden, Germany and United States. Frequent co-authors include Michael Y. Galperin, Mark Gomelsky, Manfred Nimtz, Roger Simm, Burkhard Tümmler, Carlos Balsalobre, Staffan Normark, Abdul Kader, Ulrich Gerstel and Xhavit Zogaj. Their work appears in journals such as Molecular Microbiology, Journal of Bacteriology, Environmental Microbiology, Electrophoresis and Microbiology.

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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