Matti Davis
Impact in
- Cancer Research top 10%
- NF-κB Signaling Pathways
- Molecular Biology top 10%
- Ubiquitin and proteasome pathways
- Hedgehog Signaling Pathway Studies
- Epigenetics and DNA Methylation
Papers in
-
- Ubiquitin and proteasome pathways 3
- Hedgehog Signaling Pathway Studies 2
- Cancer-related gene regulation 2
- Epigenetics and DNA Methylation 2
- Protein Degradation and Inhibitors 1
- TGF-β signaling in diseases 1
- Oncology 3
- Co-authors
- Yinon Ben‐Neriah (3 shared papers)Matthias Mann (2 shared papers)Avraham Yaron (2 shared papers)Frank Mercurio (2 shared papers)Ada Hatzubai (2 shared papers)Jens Andersen (2 shared papers)Iris Lavon (1 shared paper)Anthony M. Manning (1 shared paper)
- Journals
- Genes & Development (2 papers)Journal of Clinical Oncology (2 papers)Nature (1 paper)Current Biology (1 paper)Cell Death and Disease (1 paper)
- Partner nations
- United StatesAustraliaIsrael
In The Last Decade
Matti Davis
8 papers receiving 931 citations
Matti Davis's Hit Papers
Peers
Comparison fields: 5 of 74
- Cancer Research 264
- Molecular Biology 736
- Immunology 199
- Oncology 237
- Cell Biology 122
Countries citing papers authored by Matti Davis
This map shows the geographic impact of Matti Davis'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 Matti Davis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matti Davis more than expected).
Fields of papers citing papers by Matti Davis
This network shows the impact of papers produced by Matti Davis. 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 Matti Davis. The network helps show where Matti Davis may publish in the future.
Co-authors
The 25 scholars most cited alongside Matti Davis, 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 | Identification of the receptor component of the IκBα–ubiquitin ligase Hit paper breakdown → | 1998 | 557 |
| 2 | 2009 | 186 | |
| 3 | 2002 | 99 | |
| 4 | 2010 | 36 | |
| 5 | 2022 | 32 | |
| 6 | 2018 | 20 | |
| 7 | 2019 | 16 | |
| 8 | 2019 | 3 |
About Matti Davis
Matti Davis is a scholar working on Molecular Biology, Oncology, Cancer Research, Surgery and Pulmonary and Respiratory Medicine, having authored 8 papers that have together received 949 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (3 papers), Hedgehog Signaling Pathway Studies (2 papers), Cancer-related gene regulation (2 papers), NF-κB Signaling Pathways (2 papers), Epigenetics and DNA Methylation (2 papers), Protein Degradation and Inhibitors (1 paper), TGF-β signaling in diseases (1 paper) and Genetic and Kidney Cyst Diseases (1 paper). The work is most often cited by research in Cancer Research (264 citations), Molecular Biology (736 citations), Immunology (199 citations), Oncology (237 citations) and Cell Biology (122 citations). Matti Davis has collaborated with scholars based in United States, Australia and Israel. Frequent co-authors include Yinon Ben‐Neriah, Matthias Mann, Avraham Yaron, Frank Mercurio, Ada Hatzubai, Jens Andersen, Iris Lavon, Anthony M. Manning, Sharon Amit and Setsu Endoh‐Yamagami. Their work appears in journals such as Genes & Development, Journal of Clinical Oncology, Nature, Current Biology and Cell Death and Disease.
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.