Peter Stannek
Impact in
- Molecular Biology top 5%
- Wnt/β-catenin signaling in development and cancer
- Cancer-related gene regulation
- Kruppel-like factors research
- Epigenetics and DNA Methylation
- Developmental Biology and Gene Regulation
- Bone Metabolism and Diseases
- Cell Biology top 5%
Papers in
- Genetics 2
- Coagulation, Bradykinin, Polyphosphates, and Angioedema 2
-
- Wnt/β-catenin signaling in development and cancer 6
- Cancer-related gene regulation 5
- Kruppel-like factors research 3
- Co-authors
- Christof Niehrs (7 shared papers)Wei Wu (5 shared papers)Andrei Glinka (4 shared papers)Bingyu Mao (2 shared papers)Gary R. Davidson (3 shared papers)Yan Li (1 shared paper)Joachim Marhold (1 shared paper)Hajo Delius (1 shared paper)
- Journals
- Nature (3 papers)Developmental Cell (2 papers)Cell Discovery (1 paper)PLoS ONE (1 paper)Biochemical Journal (1 paper)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Peter Stannek
9 papers receiving 2.9k citations
Peter Stannek's Hit Papers
Peers
Comparison fields: 5 of 99
- Molecular Biology 2.4k
- Cell Biology 349
- Genetics 518
- Oncology 380
- Cellular and Molecular Neuroscience 200
Countries citing papers authored by Peter Stannek
This map shows the geographic impact of Peter Stannek'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 Peter Stannek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Stannek more than expected).
Fields of papers citing papers by Peter Stannek
This network shows the impact of papers produced by Peter Stannek. 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 Peter Stannek. The network helps show where Peter Stannek may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Stannek, 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 | LDL-receptor-related protein 6 is a receptor for Dickkopf proteins Hit paper breakdown → | 2001 | 915 |
| 2 | Kremen proteins are Dickkopf receptors that regulate Wnt/β-catenin signalling Hit paper breakdown → | 2002 | 905 |
| 3 | 2005 | 476 | |
| 4 | 2004 | 362 | |
| 5 | 2009 | 222 | |
| 6 | 2009 | 46 | |
| 7 | 2018 | 38 | |
| 8 | 1992 | 13 | |
| 9 | 1992 | 6 |
About Peter Stannek
Peter Stannek is a scholar working on Genetics, Molecular Biology, Cell Biology, Microbiology and Cellular and Molecular Neuroscience, having authored 9 papers that have together received 3.0k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (6 papers), Cancer-related gene regulation (5 papers), Kruppel-like factors research (3 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers), Pancreatic function and diabetes (1 paper), Neuroendocrine regulation and behavior (1 paper), Antimicrobial Peptides and Activities (1 paper) and Hippo pathway signaling and YAP/TAZ (1 paper). The work is most often cited by research in Molecular Biology (2.4k citations), Cell Biology (349 citations), Genetics (518 citations), Oncology (380 citations) and Cellular and Molecular Neuroscience (200 citations). Peter Stannek has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Christof Niehrs, Wei Wu, Andrei Glinka, Bingyu Mao, Gary R. Davidson, Yan Li, Joachim Marhold, Hajo Delius, Bernard M. Mechler and Mingfa Li. Their work appears in journals such as Nature, Developmental Cell, Cell Discovery, PLoS ONE and Biochemical Journal.
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.