Ute Friedel
Impact in
- Small Animals top 5%
- Infectious Diseases and Mycology
Papers in
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- Infectious Diseases and Mycology 8
-
- Tuberculosis Research and Epidemiology 11
- Co-authors
- Neil J. Cook (4 shared papers)Friedrich Lottspeich (1 shared paper)Helmut Reiländer (1 shared paper)Gabi Maul (1 shared paper)Giovanni Ghielmetti (13 shared papers)Delyth M. Reid (1 shared paper)Robert S. Molday (1 shared paper)Roger Stephan (10 shared papers)
- Journals
- Frontiers in Veterinary Science (3 papers)Transboundary and Emerging Diseases (2 papers)Emerging infectious diseases (2 papers)INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY (2 papers)Scientific Reports (1 paper)
- Partner nations
- SwitzerlandGermanyAustria
In The Last Decade
Ute Friedel
23 papers receiving 484 citations
Peers
Comparison fields: 5 of 62
- Small Animals 69
- Microbiology 7
- Cellular and Molecular Neuroscience 163
- Infectious Diseases 146
- Sensory Systems 28
Countries citing papers authored by Ute Friedel
This map shows the geographic impact of Ute Friedel'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 Friedel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ute Friedel more than expected).
Fields of papers citing papers by Ute Friedel
This network shows the impact of papers produced by Ute Friedel. 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 Friedel. The network helps show where Ute Friedel may publish in the future.
Co-authors
The 25 scholars most cited alongside Ute Friedel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 176 | |
| 2 | 1990 | 63 | |
| 3 | 2017 | 38 | |
| 4 | 2017 | 31 | |
| 5 | 1991 | 31 | |
| 6 | 2010 | 29 | |
| 7 | 2020 | 22 | |
| 8 | 2017 | 14 | |
| 9 | 2020 | 14 | |
| 10 | 2021 | 13 | |
| 11 | 2011 | 12 | |
| 12 | 2019 | 11 | |
| 13 | 2019 | 10 | |
| 14 | 2021 | 10 | |
| 15 | 1991 | 10 | |
| 16 | 2017 | 6 | |
| 17 | 2021 | 4 | |
| 18 | 2018 | 4 | |
| 19 | 2020 | 3 | |
| 20 | 2024 | 2 |
About Ute Friedel
Ute Friedel is a scholar working on Small Animals, Infectious Diseases, Epidemiology, Molecular Biology and Cellular and Molecular Neuroscience, having authored 23 papers that have together received 506 indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (17 papers), Tuberculosis Research and Epidemiology (11 papers), Infectious Diseases and Mycology (8 papers), Diagnosis and treatment of tuberculosis (2 papers), Genomics and Phylogenetic Studies (2 papers), Retinal Development and Disorders (2 papers), Photoreceptor and optogenetics research (2 papers) and Milk Quality and Mastitis in Dairy Cows (1 paper). The work is most often cited by research in Small Animals (69 citations), Microbiology (7 citations), Cellular and Molecular Neuroscience (163 citations), Infectious Diseases (146 citations) and Sensory Systems (28 citations). Ute Friedel has collaborated with scholars based in Switzerland, Germany and Austria. Frequent co-authors include Neil J. Cook, Friedrich Lottspeich, Helmut Reiländer, Gabi Maul, Giovanni Ghielmetti, Delyth M. Reid, Robert S. Molday, Roger Stephan, Simone Scherrer and Paulus Wohlfart. Their work appears in journals such as Frontiers in Veterinary Science, Transboundary and Emerging Diseases, Emerging infectious diseases, INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY and Scientific Reports.
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.