Edward Eivers
Impact in
- Aging top 10%
- Cell Biology top 10%
- Hippo pathway signaling and YAP/TAZ
Papers in
-
- Hippo pathway signaling and YAP/TAZ 3
- Zebrafish Biomedical Research Applications 2
-
- Developmental Biology and Gene Regulation 10
- TGF-β signaling in diseases 6
- Wnt/β-catenin signaling in development and cancer 4
- Congenital heart defects research 2
- Pluripotent Stem Cells Research 1
- Co-authors
- Edward M. De Robertis (6 shared papers)Luis C. Fuentealba (4 shared papers)Atsushi Ikeda (1 shared paper)Hiroki Kuroda (1 shared paper)Edgar M. Pera (1 shared paper)Cecilia Hurtado (1 shared paper)Vincent F. Taelman (1 shared paper)Douglas Geissert (1 shared paper)
- Journals
- PLoS ONE (3 papers)Scientific Reports (2 papers)The International Journal of Developmental Biology (1 paper)Science Signaling (1 paper)International Forum of Allergy & Rhinology (1 paper)
- Partner nations
- United StatesIrelandSouth Korea
In The Last Decade
Edward Eivers
13 papers receiving 921 citations
Peers
Comparison fields: 5 of 83
- Aging 30
- Cell Biology 184
- Molecular Biology 733
- Developmental Neuroscience 29
- Genetics 116
Countries citing papers authored by Edward Eivers
This map shows the geographic impact of Edward Eivers'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 Edward Eivers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward Eivers more than expected).
Fields of papers citing papers by Edward Eivers
This network shows the impact of papers produced by Edward Eivers. 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 Edward Eivers. The network helps show where Edward Eivers may publish in the future.
Co-authors
The 25 scholars most cited alongside Edward Eivers, 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 | 2007 | 445 | |
| 2 | 2008 | 138 | |
| 3 | 2004 | 77 | |
| 4 | 2008 | 66 | |
| 5 | 2009 | 54 | |
| 6 | 2009 | 35 | |
| 7 | 2011 | 25 | |
| 8 | 2017 | 22 | |
| 9 | 2006 | 21 | |
| 10 | 2010 | 17 | |
| 11 | 2014 | 13 | |
| 12 | 2014 | 12 | |
| 13 | 2016 | 12 |
About Edward Eivers
Edward Eivers is a scholar working on Cell Biology, Molecular Biology, Otorhinolaryngology, Infectious Diseases and Physiology, having authored 13 papers that have together received 937 indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (10 papers), TGF-β signaling in diseases (6 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Hippo pathway signaling and YAP/TAZ (3 papers), Congenital heart defects research (2 papers), Zebrafish Biomedical Research Applications (2 papers), Fungal Infections and Studies (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Aging (30 citations), Cell Biology (184 citations), Molecular Biology (733 citations), Developmental Neuroscience (29 citations) and Genetics (116 citations). Edward Eivers has collaborated with scholars based in United States, Ireland and South Korea. Frequent co-authors include Edward M. De Robertis, Luis C. Fuentealba, Atsushi Ikeda, Hiroki Kuroda, Edgar M. Pera, Cecilia Hurtado, Vincent F. Taelman, Douglas Geissert, Hadrien Demagny and Catherine M. Nolan. Their work appears in journals such as PLoS ONE, Scientific Reports, The International Journal of Developmental Biology, Science Signaling and International Forum of Allergy & Rhinology.
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.