Ute Müh

25 papers and 1.4k indexed citations i.

About

Ute Müh is a scholar working on Molecular Biology, Infectious Diseases and Genetics. According to data from OpenAlex, Ute Müh has authored 25 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Infectious Diseases and 7 papers in Genetics. Recurrent topics in Ute Müh’s work include Bacterial Genetics and Biotechnology (7 papers), Clostridium difficile and Clostridium perfringens research (5 papers) and Hepatitis C virus research (5 papers). Ute Müh is often cited by papers focused on Bacterial Genetics and Biotechnology (7 papers), Clostridium difficile and Clostridium perfringens research (5 papers) and Hepatitis C virus research (5 papers). Ute Müh collaborates with scholars based in United States, Germany and The Netherlands. Ute Müh's co-authors include Brian L. Hanzelka, Roger Heim, Eric R. Olson, E. Peter Greenberg, Martín Schuster, Doug J. Bartels, Chao Lin, Ann D. Kwong, Yi Zhou and Hui‐May Chu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Gastroenterology.

In The Last Decade

Co-authorship network of co-authors of Ute Müh i

Fields of papers citing papers by Ute Müh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ute Müh

Since Specialization
Citations

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

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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2025