Ute Römling

19.8k total citations · 6 hit papers
174 papers, 15.3k citations indexed

About

Ute Römling is a scholar working on Molecular Biology, Genetics and Endocrinology. According to data from OpenAlex, Ute Römling has authored 174 papers receiving a total of 15.3k indexed citations (citations by other indexed papers that have themselves been cited), including 125 papers in Molecular Biology, 63 papers in Genetics and 52 papers in Endocrinology. Recurrent topics in Ute Römling's work include Bacterial biofilms and quorum sensing (89 papers), Bacterial Genetics and Biotechnology (61 papers) and Vibrio bacteria research studies (37 papers). Ute Römling is often cited by papers focused on Bacterial biofilms and quorum sensing (89 papers), Bacterial Genetics and Biotechnology (61 papers) and Vibrio bacteria research studies (37 papers). Ute Römling collaborates with scholars based in Sweden, Germany and United States. Ute Römling's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Ute Römling

172 papers receiving 15.0k citations

Hit Papers

Cyclic di-GMP: the First 25 Years of a Unive... 2001 2026 2009 2017 2013 2004 2001 2012 2005 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ute Römling Sweden 64 9.9k 4.2k 3.8k 2.5k 2.3k 174 15.3k
Chris Whitfield Canada 62 7.5k 0.8× 4.1k 1.0× 4.3k 1.1× 3.3k 1.3× 2.9k 1.2× 190 15.9k
Miguel Cámara United Kingdom 63 11.1k 1.1× 2.5k 0.6× 3.7k 1.0× 1.9k 0.7× 2.9k 1.2× 176 14.4k
Kim Lewis United States 67 10.7k 1.1× 2.4k 0.6× 5.0k 1.3× 2.7k 1.1× 5.7k 2.4× 135 20.9k
Jörg Hacker Germany 73 8.4k 0.9× 7.8k 1.9× 3.7k 1.0× 3.0k 1.2× 2.5k 1.1× 252 18.7k
Leo Eberl Switzerland 84 12.6k 1.3× 3.5k 0.8× 3.0k 0.8× 3.6k 1.4× 2.2k 0.9× 254 21.2k
David A. Rasko United States 60 6.6k 0.7× 4.9k 1.2× 2.5k 0.7× 2.3k 0.9× 2.4k 1.0× 195 13.5k
Vanessa Sperandio United States 55 7.5k 0.8× 6.2k 1.5× 3.5k 0.9× 1.5k 0.6× 1.7k 0.7× 138 13.9k
Daniel J. Wozniak United States 66 11.6k 1.2× 2.6k 0.6× 2.6k 0.7× 2.3k 0.9× 2.8k 1.2× 185 16.0k
Jean‐Marc Ghigo France 52 6.3k 0.6× 2.4k 0.6× 2.4k 0.6× 2.0k 0.8× 1.5k 0.7× 147 10.9k
Miguel A. Valvano Canada 62 6.2k 0.6× 3.8k 0.9× 2.5k 0.7× 1.9k 0.8× 1.7k 0.7× 238 12.9k

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 of co-authors of Ute Römling

This figure shows the co-authorship network connecting the top 25 collaborators of Ute Römling. A scholar is included among the top collaborators of Ute Römling based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ute Römling. Ute Römling is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Joffré, Enrique, et al.. (2025). Improved Isolation of Ultra-High-Molecular-Weight Genomic DNA Suitable for Third-Generation Sequencing. Microorganisms. 13(3). 534–534. 1 indexed citations
2.
Shafeeq, Sulman, et al.. (2024). Maple compounds prevent biofilm formation in Listeria monocytogenes via sortase inhibition. Frontiers in Microbiology. 15. 1436476–1436476. 2 indexed citations
3.
Römling, Ute. (2023). Cyclic di‐GMP signaling—Where did you come from and where will you go?. Molecular Microbiology. 120(4). 564–574. 13 indexed citations
4.
Taebnia, Nayere, Ute Römling, & Volker M. Lauschke. (2022). In vitro and ex vivo modeling of enteric bacterial infections. Gut Microbes. 15(1). 2158034–2158034. 16 indexed citations
5.
Martín‐Rodríguez, Alberto J., Shawn M. Higdon, Kaisa Thorell, et al.. (2022). Comparative Genomics of Cyclic di-GMP Metabolism and Chemosensory Pathways in Shewanella algae Strains: Novel Bacterial Sensory Domains and Functional Insights into Lifestyle Regulation. mSystems. 7(2). e0151821–e0151821. 16 indexed citations
6.
Cimdins, Annika, et al.. (2022). Gre Factors Are Required for Biofilm Formation in Salmonella enterica Serovar Typhimurium by Targeting Transcription of the csgD Gene. Microorganisms. 10(10). 1921–1921. 6 indexed citations
7.
Martín‐Rodríguez, Alberto J., et al.. (2021). Regulation of colony morphology and biofilm formation in Shewanella algae. Microbial Biotechnology. 14(3). 1183–1200. 9 indexed citations
8.
Martín‐Rodríguez, Alberto J., José A. Reyes-Darías, David Martín‐Mora, et al.. (2021). Reduction of alternative electron acceptors drives biofilm formation in Shewanella algae. npj Biofilms and Microbiomes. 7(1). 9–9. 16 indexed citations
9.
Tellgren‐Roth, Christian, Kaisa Thorell, Michael Y. Galperin, et al.. (2021). Complete Genome Sequence and Methylome of the Type Strain of Shewanella algae. Microbiology Resource Announcements. 10(31). e0055921–e0055921. 5 indexed citations
10.
Lamprokostopoulou, Agaristi & Ute Römling. (2021). Yin and Yang of Biofilm Formation and Cyclic di-GMP Signaling of the Gastrointestinal Pathogen <b><i>Salmonella enterica</i></b> Serovar Typhimurium. Journal of Innate Immunity. 14(4). 275–292. 11 indexed citations
12.
Cimdins, Annika, Changhan Lee, Fengyang Li, et al.. (2020). A recently isolated human commensal Escherichia coli ST10 clone member mediates enhanced thermotolerance and tetrathionate respiration on a P1 phage‐derived IncY plasmid. Molecular Microbiology. 115(2). 255–271. 24 indexed citations
13.
Shafeeq, Sulman, Wang Xiao-da, Heinrich Lünsdorf, Annelie Brauner, & Ute Römling. (2020). Draft Genome Sequence of the Urinary Catheter Isolate Enterobacter ludwigii CEB04 with High Biofilm Forming Capacity. Microorganisms. 8(4). 522–522. 5 indexed citations
15.
Fernández‐Fernández, Encarnación, Alberto J. Martín‐Rodríguez, Mariano Hernández, et al.. (2018). First clinical isolation report of Shewanella algae from the stools of a patient with acute enteritis in Spain.. PubMed. 31(2). 160–163. 6 indexed citations
16.
Hernández, Mariano, et al.. (2018). Primer aislamiento clínico en España de Shewanella algae en heces de un paciente con enteritis aguda. Revista española de quimioterapia. Suplemento. 31(2). 160–163. 1 indexed citations
17.
Martín‐Rodríguez, Alberto J., et al.. (2018). Multilocus sequence typing identifies disease-causing Shewanella chilikensis strain 6I4. FEMS Microbiology Ecology. 95(1). 15 indexed citations
18.
Rossi, Elio, Annika Cimdins, Petra Lüthje, et al.. (2017). “It’s a gut feeling” –Escherichia colibiofilm formation in the gastrointestinal tract environment. Critical Reviews in Microbiology. 44(1). 1–30. 82 indexed citations
19.
Guyon, Soazig Le, et al.. (2017). Gre factors-mediated control of hilD transcription is essential for the invasion of epithelial cells by Salmonella enterica serovar Typhimurium. PLoS Pathogens. 13(4). e1006312–e1006312. 22 indexed citations
20.
Römling, Ute, Mark Gomelsky, & Michael Y. Galperin. (2005). C‐di‐GMP: the dawning of a novel bacterial signalling system. Molecular Microbiology. 57(3). 629–639. 524 indexed citations breakdown →

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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