Ed Stavnezer
Impact in
-
- TGF-β signaling in diseases
- Cancer-related gene regulation
- RNA Research and Splicing
- Muscle Physiology and Disorders
- Epigenetics and DNA Methylation
- Kruppel-like factors research
Papers in
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- Genomics and Chromatin Dynamics 3
- Cancer-related gene regulation 2
- RNA Research and Splicing 2
- Muscle Physiology and Disorders 2
- TGF-β signaling in diseases 2
- Ubiquitin and proteasome pathways 1
- Genetics 4
- Co-authors
- Clemencia Colmenares (5 shared papers)Estela E. Medrano (4 shared papers)Rebekka L. Nicol (2 shared papers)Weidong Xu (2 shared papers)Judith Campisi (2 shared papers)David Danielpour (1 shared paper)Oliver Bischof (1 shared paper)Hong Zhang (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)Pigment Cell & Melanoma Research (2 papers)BMC Biology (1 paper)Journal of Virology (1 paper)Neuron (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Ed Stavnezer
14 papers receiving 610 citations
Peers
Comparison fields: 5 of 58
- Molecular Biology 467
- Immunology and Allergy 28
- Developmental Neuroscience 18
- Oncology 97
- Genetics 101
Countries citing papers authored by Ed Stavnezer
This map shows the geographic impact of Ed Stavnezer'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 Ed Stavnezer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ed Stavnezer more than expected).
Fields of papers citing papers by Ed Stavnezer
This network shows the impact of papers produced by Ed Stavnezer. 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 Ed Stavnezer. The network helps show where Ed Stavnezer may publish in the future.
Co-authors
The 25 scholars most cited alongside Ed Stavnezer, 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 | 2000 | 162 | |
| 2 | 2001 | 102 | |
| 3 | SKI activates Wnt/beta-catenin signaling in human melanoma. | 2003 | 90 |
| 4 | 2004 | 55 | |
| 5 | 1998 | 46 | |
| 6 | 2008 | 38 | |
| 7 | 1995 | 35 | |
| 8 | 2009 | 31 | |
| 9 | 1998 | 20 | |
| 10 | 2002 | 19 | |
| 11 | 2011 | 11 | |
| 12 | 2004 | 3 | |
| 13 | 2007 | 1 | |
| 14 | 2009 | 1 |
About Ed Stavnezer
Ed Stavnezer is a scholar working on Molecular Biology, Genetics, Immunology, Surgery and Oncology, having authored 14 papers that have together received 614 indexed citations. Recurring topics across this work include interferon and immune responses (3 papers), Genomics and Chromatin Dynamics (3 papers), Cancer-related gene regulation (2 papers), RNA Research and Splicing (2 papers), Knee injuries and reconstruction techniques (2 papers), Muscle Physiology and Disorders (2 papers), TGF-β signaling in diseases (2 papers) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Molecular Biology (467 citations), Immunology and Allergy (28 citations), Developmental Neuroscience (18 citations), Oncology (97 citations) and Genetics (101 citations). Ed Stavnezer has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Clemencia Colmenares, Estela E. Medrano, Rebekka L. Nicol, Weidong Xu, Judith Campisi, David Danielpour, Oliver Bischof, Hong Zhang, Michael Berk and Heidi A. Heilstedt. Their work appears in journals such as Journal of Biological Chemistry, Pigment Cell & Melanoma Research, BMC Biology, Journal of Virology and Neuron.
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.