Diane Egger‐Adam
Impact in
- Cell Biology top 10%
- Hippo pathway signaling and YAP/TAZ
- Cellular transport and secretion
- Microtubule and mitosis dynamics
- Cellular Mechanics and Interactions
Papers in
-
- Wnt/β-catenin signaling in development and cancer 4
- Developmental Biology and Gene Regulation 3
- Genomics and Chromatin Dynamics 2
- Cancer-related gene regulation 2
- Receptor Mechanisms and Signaling 2
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- Microtubule and mitosis dynamics 3
- Cellular transport and secretion 3
- Cellular Mechanics and Interactions 2
- Co-authors
- Vladimir L. Katanaev (5 shared papers)Andreas Wodarz (5 shared papers)Michael P. Krahn (1 shared paper)Alexey Koval (2 shared papers)Vladimir Purvanov (1 shared paper)Wu‐Min Deng (1 shared paper)Ashraf A. Khalil (1 shared paper)Casimiro Castillejo-López (1 shared paper)
- Journals
- Development (2 papers)Developmental Dynamics (2 papers)Biochemical Pharmacology (1 paper)Scientific Reports (1 paper)Journal of Cell Science (1 paper)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Diane Egger‐Adam
11 papers receiving 455 citations
Peers
Comparison fields: 5 of 58
- Cell Biology 173
- Aging 17
- Molecular Biology 365
- Cellular and Molecular Neuroscience 93
- Immunology and Allergy 25
Countries citing papers authored by Diane Egger‐Adam
This map shows the geographic impact of Diane Egger‐Adam'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 Diane Egger‐Adam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diane Egger‐Adam more than expected).
Fields of papers citing papers by Diane Egger‐Adam
This network shows the impact of papers produced by Diane Egger‐Adam. 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 Diane Egger‐Adam. The network helps show where Diane Egger‐Adam may publish in the future.
Co-authors
The 17 scholars most cited alongside Diane Egger‐Adam, 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 | 2006 | 99 | |
| 2 | 2009 | 66 | |
| 3 | 2011 | 60 | |
| 4 | 2009 | 55 | |
| 5 | 2009 | 41 | |
| 6 | 2008 | 41 | |
| 7 | 2009 | 35 | |
| 8 | 2014 | 31 | |
| 9 | 2009 | 17 | |
| 10 | 2011 | 13 | |
| 11 | 2018 | 4 |
About Diane Egger‐Adam
Diane Egger‐Adam is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Epidemiology and Physiology, having authored 11 papers that have together received 462 indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (4 papers), Microtubule and mitosis dynamics (3 papers), Cellular transport and secretion (3 papers), Developmental Biology and Gene Regulation (3 papers), Genomics and Chromatin Dynamics (2 papers), Cancer-related gene regulation (2 papers), Receptor Mechanisms and Signaling (2 papers) and Cellular Mechanics and Interactions (2 papers). The work is most often cited by research in Cell Biology (173 citations), Aging (17 citations), Molecular Biology (365 citations), Cellular and Molecular Neuroscience (93 citations) and Immunology and Allergy (25 citations). Diane Egger‐Adam has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Vladimir L. Katanaev, Andreas Wodarz, Michael P. Krahn, Alexey Koval, Vladimir Purvanov, Wu‐Min Deng, Ashraf A. Khalil, Casimiro Castillejo-López, Martina Schneider and Stefan Baumgartner. Their work appears in journals such as Development, Developmental Dynamics, Biochemical Pharmacology, Scientific Reports and Journal of Cell Science.
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.