Tim Steinbacher
Impact in
- Cell Biology top 10%
- Cellular Mechanics and Interactions
- Hippo pathway signaling and YAP/TAZ
- Microtubule and mitosis dynamics
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- Cell Adhesion Molecules Research
Papers in
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- Hippo pathway signaling and YAP/TAZ 4
- Cellular Mechanics and Interactions 2
- Microtubule and mitosis dynamics 2
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- Wnt/β-catenin signaling in development and cancer 4
- Kruppel-like factors research 1
- Co-authors
- Klaus Ebnet (8 shared papers)Francisco M. Goycoolea (1 shared paper)Andreas Hensel (1 shared paper)Georg Peters (1 shared paper)Masanori Nakayama (2 shared papers)Karsten Becker (1 shared paper)Klaus Brinkmann (1 shared paper)Sven Bogdan (1 shared paper)
- Journals
- The Journal of Cell Biology (1 paper)Molecular Biology of the Cell (1 paper)Applied Microbiology and Biotechnology (1 paper)Seminars in Cell and Developmental Biology (1 paper)Histochemistry and Cell Biology (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Tim Steinbacher
10 papers receiving 307 citations
Peers
Comparison fields: 5 of 73
- Cell Biology 111
- Immunology and Allergy 41
- Neurology 29
- Molecular Biology 153
- Infectious Diseases 39
Countries citing papers authored by Tim Steinbacher
This map shows the geographic impact of Tim Steinbacher'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 Tim Steinbacher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Steinbacher more than expected).
Fields of papers citing papers by Tim Steinbacher
This network shows the impact of papers produced by Tim Steinbacher. 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 Tim Steinbacher. The network helps show where Tim Steinbacher may publish in the future.
Co-authors
The 19 scholars most cited alongside Tim Steinbacher, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 47 | |
| 2 | 2016 | 46 | |
| 3 | 2020 | 42 | |
| 4 | 2015 | 40 | |
| 5 | 2014 | 37 | |
| 6 | 2017 | 34 | |
| 7 | 2020 | 31 | |
| 8 | 2018 | 16 | |
| 9 | 2016 | 16 | |
| 10 | 2024 | 1 |
About Tim Steinbacher
Tim Steinbacher is a scholar working on Cell Biology, Molecular Biology, Immunology and Allergy, Infectious Diseases and Surgery, having authored 10 papers that have together received 310 indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (4 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Cell Adhesion Molecules Research (3 papers), Cellular Mechanics and Interactions (2 papers), Microtubule and mitosis dynamics (2 papers), Helicobacter pylori-related gastroenterology studies (1 paper), Kruppel-like factors research (1 paper) and Antimicrobial Resistance in Staphylococcus (1 paper). The work is most often cited by research in Cell Biology (111 citations), Immunology and Allergy (41 citations), Neurology (29 citations), Molecular Biology (153 citations) and Infectious Diseases (39 citations). Tim Steinbacher has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Klaus Ebnet, Francisco M. Goycoolea, Andreas Hensel, Georg Peters, Masanori Nakayama, Karsten Becker, Klaus Brinkmann, Sven Bogdan, Baoyu Chen and Volker Gerke. Their work appears in journals such as The Journal of Cell Biology, Molecular Biology of the Cell, Applied Microbiology and Biotechnology, Seminars in Cell and Developmental Biology and Histochemistry and Cell Biology.
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.