Philipp Mächler
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
Papers in
-
- Mitochondrial Function and Pathology 2
- Gene expression and cancer classification 1
-
- Neuroscience and Neuropharmacology Research 2
- Photoreceptor and optogenetics research 2
- Co-authors
- Matthias T. Wyss (2 shared papers)Jillian L. Stobart (2 shared papers)Bruno Weber (2 shared papers)Felipe Baeza‐Lehnert (2 shared papers)L. Felipe Barros (2 shared papers)Bernard L. Schneider (1 shared paper)Alexandra von Faber-Castell (1 shared paper)Patrick Aebischer (1 shared paper)
- Journals
- BioTechniques (1 paper)Cell Metabolism (1 paper)PLoS ONE (1 paper)Neuron (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- SwitzerlandUnited StatesChile
In The Last Decade
Philipp Mächler
7 papers receiving 542 citations
Philipp Mächler's Hit Papers
Peers
Comparison fields: 5 of 70
- Neurology 139
- Developmental Neuroscience 50
- Cellular and Molecular Neuroscience 231
- Biological Psychiatry 29
- Physiology 129
Countries citing papers authored by Philipp Mächler
This map shows the geographic impact of Philipp Mächler'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 Philipp Mächler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp Mächler more than expected).
Fields of papers citing papers by Philipp Mächler
This network shows the impact of papers produced by Philipp Mächler. 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 Philipp Mächler. The network helps show where Philipp Mächler may publish in the future.
Co-authors
The 25 scholars most cited alongside Philipp Mächler, 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 | In Vivo Evidence for a Lactate Gradient from Astrocytes to Neurons Hit paper breakdown → | 2015 | 439 |
| 2 | 2015 | 65 | |
| 3 | 2024 | 19 | |
| 4 | 2020 | 8 | |
| 5 | 2020 | 4 | |
| 6 | 2023 | 4 | |
| 7 | 2019 | 4 | |
| 8 | 2020 | 0 | |
| 9 | 2025 | 0 |
About Philipp Mächler
Philipp Mächler is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Physiology and Pharmacology, having authored 9 papers that have together received 543 indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (2 papers), Mitochondrial Function and Pathology (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Photoreceptor and optogenetics research (2 papers), Optical Imaging and Spectroscopy Techniques (1 paper), Gene expression and cancer classification (1 paper), Neural dynamics and brain function (1 paper) and Medical Imaging and Analysis (1 paper). The work is most often cited by research in Neurology (139 citations), Developmental Neuroscience (50 citations), Cellular and Molecular Neuroscience (231 citations), Biological Psychiatry (29 citations) and Physiology (129 citations). Philipp Mächler has collaborated with scholars based in Switzerland, United States and Chile. Frequent co-authors include Matthias T. Wyss, Jillian L. Stobart, Bruno Weber, Felipe Baeza‐Lehnert, L. Felipe Barros, Bernard L. Schneider, Alexandra von Faber-Castell, Patrick Aebischer, Sylvain Lengacher and Alejandro San Martín. Their work appears in journals such as BioTechniques, Cell Metabolism, PLoS ONE, Neuron and Proceedings of the National Academy of Sciences.
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.