Michaela Bissinger
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
- Cell Biology top 10%
- Hippo pathway signaling and YAP/TAZ
Papers in
-
- Ubiquitin and proteasome pathways 5
- Wnt/β-catenin signaling in development and cancer 4
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- Hippo pathway signaling and YAP/TAZ 4
- Cellular Mechanics and Interactions 4
- Endoplasmic Reticulum Stress and Disease 2
- Co-authors
- Peter Schirmacher (14 shared papers)Kai Breuhahn (16 shared papers)Mona Malz (6 shared papers)Jana Samarin (5 shared papers)Norbert Gretz (4 shared papers)Stephan Singer (4 shared papers)Volker Ehemann (3 shared papers)Thomas Longerich (4 shared papers)
- Journals
- Hepatology (4 papers)Cancer Letters (2 papers)Frontiers in Physiology (2 papers)Cancer Research (2 papers)Journal of Hepatology (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Michaela Bissinger
16 papers receiving 542 citations
Peers
Comparison fields: 5 of 57
- Cancer Research 172
- Cell Biology 129
- Hepatology 45
- Molecular Biology 387
- Oncology 101
Countries citing papers authored by Michaela Bissinger
This map shows the geographic impact of Michaela Bissinger'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 Michaela Bissinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michaela Bissinger more than expected).
Fields of papers citing papers by Michaela Bissinger
This network shows the impact of papers produced by Michaela Bissinger. 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 Michaela Bissinger. The network helps show where Michaela Bissinger may publish in the future.
Co-authors
The 25 scholars most cited alongside Michaela Bissinger, 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 | 2009 | 92 | |
| 2 | 2008 | 90 | |
| 3 | 2009 | 83 | |
| 4 | 2015 | 55 | |
| 5 | 2020 | 41 | |
| 6 | 2011 | 40 | |
| 7 | 2014 | 37 | |
| 8 | 2020 | 33 | |
| 9 | 2012 | 23 | |
| 10 | 2008 | 17 | |
| 11 | 2017 | 16 | |
| 12 | 2024 | 9 | |
| 13 | 2012 | 5 | |
| 14 | 2024 | 5 | |
| 15 | 2013 | 2 | |
| 16 | 2017 | 1 |
About Michaela Bissinger
Michaela Bissinger is a scholar working on Molecular Biology, Cell Biology, Oncology, Hepatology and Epidemiology, having authored 16 papers that have together received 549 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (5 papers), Hippo pathway signaling and YAP/TAZ (4 papers), Cancer-related Molecular Pathways (4 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Liver physiology and pathology (4 papers), Cellular Mechanics and Interactions (4 papers), Liver Disease Diagnosis and Treatment (3 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Cancer Research (172 citations), Cell Biology (129 citations), Hepatology (45 citations), Molecular Biology (387 citations) and Oncology (101 citations). Michaela Bissinger has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Peter Schirmacher, Kai Breuhahn, Mona Malz, Jana Samarin, Norbert Gretz, Stephan Singer, Volker Ehemann, Thomas Longerich, Achim Weber and Christopher Soll. Their work appears in journals such as Hepatology, Cancer Letters, Frontiers in Physiology, Cancer Research and Journal of Hepatology.
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.