Ulrike Steinmann
Impact in
- Microbiology top 10%
- Bacterial Infections and Vaccines
- Neurology top 10%
- Barrier Structure and Function Studies
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Acoustic Wave Phenomena Research 5
- Microfluidic and Bio-sensing Technologies 4
- 3D Printing in Biomedical Research 3
- Innovative Microfluidic and Catalytic Techniques Innovation 3
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- Ultrasonics and Acoustic Wave Propagation 4
- Flow Measurement and Analysis 3
- Co-authors
- Tobias Tenenbaum (5 shared papers)Horst Schroten (5 shared papers)Christian Schwerk (5 shared papers)Jürgen Berger (2 shared papers)Nikolay Mukhin (4 shared papers)Julia Borkowski (4 shared papers)Ralf Lucklum (4 shared papers)Christel Weiß (3 shared papers)
In The Last Decade
Ulrike Steinmann
23 papers receiving 468 citations
Peers
Comparison fields: 5 of 98
- Microbiology 65
- Neurology 76
- Biomedical Engineering 150
- Cellular and Molecular Neuroscience 60
- Endocrinology 13
Countries citing papers authored by Ulrike Steinmann
This map shows the geographic impact of Ulrike Steinmann'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 Ulrike Steinmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ulrike Steinmann more than expected).
Fields of papers citing papers by Ulrike Steinmann
This network shows the impact of papers produced by Ulrike Steinmann. 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 Ulrike Steinmann. The network helps show where Ulrike Steinmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Ulrike Steinmann, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 95 | |
| 2 | 2013 | 70 | |
| 3 | 2013 | 42 | |
| 4 | 2019 | 41 | |
| 5 | 2014 | 36 | |
| 6 | 2012 | 34 | |
| 7 | 2020 | 23 | |
| 8 | 2017 | 22 | |
| 9 | 2020 | 20 | |
| 10 | 2022 | 19 | |
| 11 | 2014 | 18 | |
| 12 | 2020 | 16 | |
| 13 | 2016 | 8 | |
| 14 | 2021 | 8 | |
| 15 | 2022 | 5 | |
| 16 | 2015 | 4 | |
| 17 | 2015 | 3 | |
| 18 | 2023 | 2 | |
| 19 | 2016 | 2 | |
| 20 | 2015 | 2 |
About Ulrike Steinmann
Ulrike Steinmann is a scholar working on Biomedical Engineering, Mechanics of Materials, Microbiology, Oceanography and Bioengineering, having authored 25 papers that have together received 473 indexed citations. Recurring topics across this work include Acoustic Wave Phenomena Research (5 papers), Bacterial Infections and Vaccines (4 papers), Microfluidic and Bio-sensing Technologies (4 papers), Ultrasonics and Acoustic Wave Propagation (4 papers), Flow Measurement and Analysis (3 papers), Underwater Acoustics Research (3 papers), 3D Printing in Biomedical Research (3 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (3 papers). The work is most often cited by research in Microbiology (65 citations), Neurology (76 citations), Biomedical Engineering (150 citations), Cellular and Molecular Neuroscience (60 citations) and Endocrinology (13 citations). Ulrike Steinmann has collaborated with scholars based in Germany, Japan and Russia. Frequent co-authors include Tobias Tenenbaum, Horst Schroten, Christian Schwerk, Jürgen Berger, Nikolay Mukhin, Julia Borkowski, Ralf Lucklum, Christel Weiß, Corinna Friedrich and Hiroshi Ishikawa. Their work appears in journals such as Sensors, Journal of Neuroinflammation, Powder Technology, Sensors and Actuators B Chemical and PLoS ONE.
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.