David Buechel
Impact in
- Cancer Research top 10%
- Cancer, Lipids, and Metabolism
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Aging top 10%
Papers in
-
- Cancer-related gene regulation 2
- Wnt/β-catenin signaling in development and cancer 2
- Ubiquitin and proteasome pathways 1
- Oncology 3
- Cancer Cells and Metastasis 2
- Co-authors
- Gerhard Christofori (4 shared papers)Ravi Kiran Reddy Kalathur (4 shared papers)Fengyuan Tang (2 shared papers)Caner Ercan (2 shared papers)Ruize Gao (2 shared papers)Salvatore Piscuoglio (2 shared papers)Mairene Coto‐Llerena (2 shared papers)Fernando D. Camargo (1 shared paper)
- Journals
- Oncogenesis (1 paper)Proceedings of the National Academy of Sciences (1 paper)EMBO Molecular Medicine (1 paper)Cell (1 paper)Oncogene (1 paper)
- Partner nations
- SwitzerlandArgentinaAustralia
In The Last Decade
David Buechel
5 papers receiving 576 citations
David Buechel's Hit Papers
Peers
Comparison fields: 5 of 62
- Cancer Research 204
- Aging 19
- Cell Biology 150
- Pulmonary and Respiratory Medicine 244
- Molecular Biology 338
Countries citing papers authored by David Buechel
This map shows the geographic impact of David Buechel'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 David Buechel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Buechel more than expected).
Fields of papers citing papers by David Buechel
This network shows the impact of papers produced by David Buechel. 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 David Buechel. The network helps show where David Buechel may publish in the future.
Co-authors
The 25 scholars most cited alongside David Buechel, 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 | YAP/TAZ and ATF4 drive resistance to Sorafenib in hepatocellular carcinoma by preventing ferroptosis Hit paper breakdown → | 2021 | 371 |
| 2 | 2015 | 119 | |
| 3 | 2021 | 47 | |
| 4 | 2021 | 25 | |
| 5 | 2021 | 20 |
About David Buechel
David Buechel is a scholar working on Molecular Biology, Oncology, Cell Biology, Cellular and Molecular Neuroscience and Pulmonary and Respiratory Medicine, having authored 5 papers that have together received 582 indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (2 papers), Cancer Cells and Metastasis (2 papers), Cancer-related gene regulation (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Axon Guidance and Neuronal Signaling (1 paper), Ubiquitin and proteasome pathways (1 paper), Ferroptosis and cancer prognosis (1 paper) and Genetics, Aging, and Longevity in Model Organisms (1 paper). The work is most often cited by research in Cancer Research (204 citations), Aging (19 citations), Cell Biology (150 citations), Pulmonary and Respiratory Medicine (244 citations) and Molecular Biology (338 citations). David Buechel has collaborated with scholars based in Switzerland, Argentina and Australia. Frequent co-authors include Gerhard Christofori, Ravi Kiran Reddy Kalathur, Fengyuan Tang, Caner Ercan, Ruize Gao, Salvatore Piscuoglio, Mairene Coto‐Llerena, Fernando D. Camargo, Shuang Song and Michael T. Dill. Their work appears in journals such as Oncogenesis, Proceedings of the National Academy of Sciences, EMBO Molecular Medicine, Cell and Oncogene.
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.