Verena Bachmann
Impact in
- Microbiology top 5%
- Bacterial Infections and Vaccines
- Cell Biology top 10%
- Hippo pathway signaling and YAP/TAZ
Papers in
-
- Receptor Mechanisms and Signaling 5
- Ubiquitin and proteasome pathways 2
- Phosphodiesterase function and regulation 2
- Protein Kinase Regulation and GTPase Signaling 2
- PI3K/AKT/mTOR signaling in cancer 2
- Co-authors
- Christof R. Hauck (6 shared papers)Eduard Stefan (10 shared papers)Petra Muenzner (2 shared papers)Wolfgang Zimmermann (1 shared paper)Robert Kammerer (1 shared paper)Corrado Garbi (4 shared papers)Uri Gophna (1 shared paper)Laura Rinaldi (4 shared papers)
In The Last Decade
Verena Bachmann
17 papers receiving 689 citations
Peers
Comparison fields: 5 of 77
- Microbiology 81
- Cell Biology 120
- Molecular Biology 416
- Immunology and Allergy 25
- Oncology 100
Countries citing papers authored by Verena Bachmann
This map shows the geographic impact of Verena Bachmann'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 Verena Bachmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Verena Bachmann more than expected).
Fields of papers citing papers by Verena Bachmann
This network shows the impact of papers produced by Verena Bachmann. 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 Verena Bachmann. The network helps show where Verena Bachmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Verena Bachmann, 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 | 2013 | 94 | |
| 2 | 2016 | 84 | |
| 3 | 2010 | 81 | |
| 4 | 2010 | 56 | |
| 5 | 2015 | 44 | |
| 6 | 1989 | 44 | |
| 7 | 2013 | 41 | |
| 8 | 2011 | 39 | |
| 9 | 2019 | 38 | |
| 10 | 2018 | 33 | |
| 11 | 2008 | 33 | |
| 12 | 2011 | 28 | |
| 13 | 2012 | 20 | |
| 14 | 2016 | 19 | |
| 15 | 2016 | 15 | |
| 16 | 2015 | 12 | |
| 17 | 2015 | 11 |
About Verena Bachmann
Verena Bachmann is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Oncology and Genetics, having authored 17 papers that have together received 692 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (5 papers), Ubiquitin and proteasome pathways (2 papers), Phosphodiesterase function and regulation (2 papers), Bacterial Infections and Vaccines (2 papers), Cellular transport and secretion (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). The work is most often cited by research in Microbiology (81 citations), Cell Biology (120 citations), Molecular Biology (416 citations), Immunology and Allergy (25 citations) and Oncology (100 citations). Verena Bachmann has collaborated with scholars based in Germany, Austria and Canada. Frequent co-authors include Christof R. Hauck, Eduard Stefan, Petra Muenzner, Wolfgang Zimmermann, Robert Kammerer, Corrado Garbi, Uri Gophna, Laura Rinaldi, Antonio Feliciello and George S. Baillie. Their work appears in journals such as Nature Communications, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, BMC Microbiology and Bioconjugate Chemistry.
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.