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
-
- Genomics and Chromatin Dynamics 3
- TGF-β signaling in diseases 2
- RNA Research and Splicing 2
- RNA and protein synthesis mechanisms 2
- Cancer-related gene regulation 2
- 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)Oliver Bischof (1 shared paper)David Danielpour (1 shared paper)M. Haddad (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)Pigment Cell & Melanoma Research (2 papers)Nature Genetics (1 paper)BMC Biology (1 paper)Neuron (1 paper)
- Partner nations
- United StatesSwitzerlandNetherlands
In The Last Decade
Ed Stavnezer
14 papers receiving 609 citations
Peers
Comparison fields: 5 of 60
- Molecular Biology 494
- Immunology and Allergy 32
- Developmental Neuroscience 18
- Oncology 111
- Genetics 106
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 | 91 |
| 4 | 2004 | 54 | |
| 5 | 1998 | 46 | |
| 6 | 2008 | 38 | |
| 7 | 1995 | 35 | |
| 8 | 2009 | 30 | |
| 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 Animal Science and Zoology, having authored 14 papers that have together received 613 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (3 papers), interferon and immune responses (3 papers), TGF-β signaling in diseases (2 papers), Animal Virus Infections Studies (2 papers), RNA Research and Splicing (2 papers), Knee injuries and reconstruction techniques (2 papers), RNA and protein synthesis mechanisms (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Molecular Biology (494 citations), Immunology and Allergy (32 citations), Developmental Neuroscience (18 citations), Oncology (111 citations) and Genetics (106 citations). Ed Stavnezer has collaborated with scholars based in United States, Switzerland and Netherlands. Frequent co-authors include Clemencia Colmenares, Estela E. Medrano, Rebekka L. Nicol, Weidong Xu, Judith Campisi, Oliver Bischof, David Danielpour, M. Haddad, Hong Zhang and Heidi A. Heilstedt. Their work appears in journals such as Journal of Biological Chemistry, Pigment Cell & Melanoma Research, Nature Genetics, BMC Biology 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.