Ruprecht Wiedemeyer
- Genetics top 1%
- Glioma Diagnosis and Treatment 2
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism 3
- Oncology top 5%
- Cancer Cells and Metastasis 3
- Developmental Neuroscience top 5%
- Molecular Biology top 5%
- PI3K/AKT/mTOR signaling in cancer 3
- Protein Degradation and Inhibitors 2
-
- Neuroblastoma Research and Treatments 5
-
- Cancer Mechanisms and Therapy 2
-
- Microtubule and mitosis dynamics 2
- Co-authors
- Cameron BrennanLynda ChinHaoqiang YingRonald A. DePinhoKeith L. LigonJayne M. StommelAlec C. KimmelmanAlexander H. Stegh
- Cited by
- GeneticsCancer ResearchOncology
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Ruprecht Wiedemeyer
16 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Genetics 627
- Cancer Research 609
- Oncology 634
- Developmental Neuroscience 87
- Molecular Biology 1.4k
Countries citing papers authored by Ruprecht Wiedemeyer
This map shows the geographic impact of Ruprecht Wiedemeyer'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 Ruprecht Wiedemeyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruprecht Wiedemeyer more than expected).
Fields of papers citing papers by Ruprecht Wiedemeyer
This network shows the impact of papers produced by Ruprecht Wiedemeyer. 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 Ruprecht Wiedemeyer. The network helps show where Ruprecht Wiedemeyer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ruprecht Wiedemeyer, 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 | 2018 | 19 | |
| 2 | 2014 | 35 | |
| 3 | 2012 | 12 | |
| 4 | 2012 | 47 | |
| 5 | 2010 | 204 | |
| 6 | 2008 | 93 | |
| 7 | 2008 | 103 | |
| 8 | p53 and Pten control neural and glioma stem/progenitor cell renewal and differentiationbreakdown → | 2008 | 573 |
| 9 | 2007 | 39 | |
| 10 | Coactivation of Receptor Tyrosine Kinases Affects the Response of Tumor Cells to Targeted Therapiesbreakdown → | 2007 | 699 |
| 11 | 2006 | 20 | |
| 12 | 2006 | 52 | |
| 13 | 2003 | 48 | |
| 14 | Neuroblastoma-derived sulfhydryl oxidase, a new member of the sulfhydryl oxidase/Quiescin6 family, regulates sensitization to interferon gamma-induced cell death in human neuroblastoma cells. | 2003 | 43 |
| 15 | 2002 | 109 | |
| 16 | 2001 | 9 |
About Ruprecht Wiedemeyer
Ruprecht Wiedemeyer is a scholar working on Neurology, Cancer Research and Cell Biology, having authored 16 papers that have together received 2.1k indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (5 papers), Cancer, Hypoxia, and Metabolism (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Cancer Cells and Metastasis (3 papers), Cancer Mechanisms and Therapy (2 papers), Glioma Diagnosis and Treatment (2 papers), Microtubule and mitosis dynamics (2 papers) and Protein Degradation and Inhibitors (2 papers). The work is most often cited by research in Genetics (627 citations), Cancer Research (609 citations) and Oncology (634 citations). Ruprecht Wiedemeyer has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Cameron Brennan, Lynda Chin, Haoqiang Ying, Ronald A. DePinho, Keith L. Ligon, Jayne M. Stommel, Alec C. Kimmelman, Alexander H. Stegh, Roustem Nabioullin and James E. Bradner. Their work appears in journals such as Nature, Science and PLoS ONE.
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.