Philipp Tschaikner
Impact in
- Physiology top 10%
- Calcium signaling and nucleotide metabolism
-
- Cellular transport and secretion
Papers in
-
- Melanoma and MAPK Pathways 3
- Hedgehog Signaling Pathway Studies 3
- bioluminescence and chemiluminescence research 2
- Receptor Mechanisms and Signaling 2
- Epigenetics and DNA Methylation 1
- Oncology 2
- Co-authors
- Eduard Stefan (9 shared papers)Pia Aanstad (4 shared papers)Florian Enzler (5 shared papers)Johanna E. Mayrhofer (3 shared papers)Omar Torres‐Quesada (2 shared papers)Verena Bachmann (2 shared papers)Philipp Raffeiner (2 shared papers)Tsan‐Wen Lu (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)The Journal of Cell Biology (1 paper)Development (1 paper)Nature Structural & Molecular Biology (1 paper)Scientific Reports (1 paper)
- Partner nations
- AustriaUnited StatesCanada
In The Last Decade
Philipp Tschaikner
10 papers receiving 258 citations
Peers
Comparison fields: 5 of 48
- Physiology 33
- Cell Biology 63
- Genetics 75
- Molecular Biology 178
- Computational Theory and Mathematics 20
Countries citing papers authored by Philipp Tschaikner
This map shows the geographic impact of Philipp Tschaikner'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 Tschaikner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp Tschaikner more than expected).
Fields of papers citing papers by Philipp Tschaikner
This network shows the impact of papers produced by Philipp Tschaikner. 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 Tschaikner. The network helps show where Philipp Tschaikner may publish in the future.
Co-authors
The 25 scholars most cited alongside Philipp Tschaikner, 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 | 86 | |
| 2 | 2016 | 84 | |
| 3 | 2020 | 30 | |
| 4 | 2024 | 21 | |
| 5 | 2015 | 11 | |
| 6 | 2020 | 9 | |
| 7 | 2021 | 8 | |
| 8 | 2020 | 8 | |
| 9 | 2023 | 2 | |
| 10 | 2024 | 1 |
About Philipp Tschaikner
Philipp Tschaikner is a scholar working on Molecular Biology, Oncology, Computational Theory and Mathematics, Cell Biology and Genetics, having authored 10 papers that have together received 260 indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (3 papers), Hedgehog Signaling Pathway Studies (3 papers), Genetics and Neurodevelopmental Disorders (2 papers), bioluminescence and chemiluminescence research (2 papers), Cellular transport and secretion (2 papers), Computational Drug Discovery Methods (2 papers), Receptor Mechanisms and Signaling (2 papers) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Physiology (33 citations), Cell Biology (63 citations), Genetics (75 citations), Molecular Biology (178 citations) and Computational Theory and Mathematics (20 citations). Philipp Tschaikner has collaborated with scholars based in Austria, United States and Canada. Frequent co-authors include Eduard Stefan, Pia Aanstad, Florian Enzler, Johanna E. Mayrhofer, Omar Torres‐Quesada, Verena Bachmann, Philipp Raffeiner, Tsan‐Wen Lu, Ronit Ilouz and Mathieu Courcelles. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Cell Biology, Development, Nature Structural & Molecular Biology and Scientific Reports.
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.