Thomas Baechi
Impact in
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- Axon Guidance and Neuronal Signaling
- Neuroscience and Neuropharmacology Research
- Cell Biology top 10%
- Hippo pathway signaling and YAP/TAZ
Papers in
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- Wnt/β-catenin signaling in development and cancer 3
- Lipid Membrane Structure and Behavior 1
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- Hippo pathway signaling and YAP/TAZ 2
- Co-authors
- Christopher M. Hovens (3 shared papers)Michael Büchert (3 shared papers)Alessandra Ferrari (1 shared paper)Roger M. Nitsch (1 shared paper)Frédéric J. Hoerndli (1 shared paper)Jürgen Götz (1 shared paper)Karin Moelling (2 shared papers)Stefan Schneider (2 shared papers)
- Journals
- Developmental Biology (1 paper)Nature Biotechnology (1 paper)Microvascular Research (1 paper)Journal of Biological Chemistry (1 paper)Biochemistry (1 paper)
- Partner nations
- SwitzerlandFranceAustralia
In The Last Decade
Thomas Baechi
10 papers receiving 726 citations
Peers
Comparison fields: 5 of 85
- Cellular and Molecular Neuroscience 177
- Cell Biology 140
- Developmental Neuroscience 29
- Physiology 152
- Molecular Biology 398
Countries citing papers authored by Thomas Baechi
This map shows the geographic impact of Thomas Baechi'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 Thomas Baechi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Baechi more than expected).
Fields of papers citing papers by Thomas Baechi
This network shows the impact of papers produced by Thomas Baechi. 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 Thomas Baechi. The network helps show where Thomas Baechi may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Baechi, 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 | 1999 | 170 | |
| 2 | 2003 | 160 | |
| 3 | 1988 | 83 | |
| 4 | 1988 | 77 | |
| 5 | 1999 | 77 | |
| 6 | 2001 | 69 | |
| 7 | 1982 | 56 | |
| 8 | 1997 | 38 | |
| 9 | 2006 | 25 | |
| 10 | 1990 | 2 |
About Thomas Baechi
Thomas Baechi is a scholar working on Molecular Biology, Cell Biology, Structural Biology, Epidemiology and Cellular and Molecular Neuroscience, having authored 10 papers that have together received 757 indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (3 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Animal Virus Infections Studies (1 paper), Cell Adhesion Molecules Research (1 paper), Lipid Membrane Structure and Behavior (1 paper), Plant Molecular Biology Research (1 paper), Cytomegalovirus and herpesvirus research (1 paper) and Advanced Electron Microscopy Techniques and Applications (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (177 citations), Cell Biology (140 citations), Developmental Neuroscience (29 citations), Physiology (152 citations) and Molecular Biology (398 citations). Thomas Baechi has collaborated with scholars based in Switzerland, France and Australia. Frequent co-authors include Christopher M. Hovens, Michael Büchert, Alessandra Ferrari, Roger M. Nitsch, Frédéric J. Hoerndli, Jürgen Götz, Karin Moelling, Stefan Schneider, Jeffrey A Hubbell and Heike Hall. Their work appears in journals such as Developmental Biology, Nature Biotechnology, Microvascular Research, Journal of Biological Chemistry and Biochemistry.
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.