Gilbert Weidinger
- Cell Biology top 0.5%
- Zebrafish Biomedical Research Applications 13
- Hippo pathway signaling and YAP/TAZ 7
- Molecular Biology top 1%
- Developmental Biology and Gene Regulation 31
- Congenital heart defects research 22
- Wnt/β-catenin signaling in development and cancer 14
- Cancer-related gene regulation 8
- Physiology top 1%
- Developmental Neuroscience top 2%
- Genetics top 1%
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- Coronary Artery Anomalies 8
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- Congenital Heart Disease Studies 8
- Co-authors
- Randall T. MoonCristi L. Stoick-CooperDaniel WehnerErez RazGünes ÖzhanThomas KurthChi WuBernard Thisse
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Gilbert Weidinger
74 papers receiving 6.7k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Cell Biology 1.6k
- Molecular Biology 5.0k
- Physiology 313
- Developmental Neuroscience 181
- Genetics 1.2k
Countries citing papers authored by Gilbert Weidinger
This map shows the geographic impact of Gilbert Weidinger'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 Gilbert Weidinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gilbert Weidinger more than expected).
Fields of papers citing papers by Gilbert Weidinger
This network shows the impact of papers produced by Gilbert Weidinger. 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 Gilbert Weidinger. The network helps show where Gilbert Weidinger may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gilbert Weidinger, 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 | 2025 | 1 | |
| 2 | 2021 | 26 | |
| 3 | 2021 | 20 | |
| 4 | 2018 | 40 | |
| 5 | 2017 | 41 | |
| 6 | 2017 | 83 | |
| 7 | 2016 | 50 | |
| 8 | 2014 | 56 | |
| 9 | 2013 | 88 | |
| 10 | 2012 | 22 | |
| 11 | 2012 | 188 | |
| 12 | 2011 | 296 | |
| 13 | 2010 | 78 | |
| 14 | 2009 | 74 | |
| 15 | 2008 | 45 | |
| 16 | 2008 | 157 | |
| 17 | 2008 | 41 | |
| 18 | 2007 | 240 | |
| 19 | 2003 | 371 | |
| 20 | 2002 | 170 |
About Gilbert Weidinger
Gilbert Weidinger is a scholar working on Cell Biology, Molecular Biology, Microbiology, Genetics and Paleontology, having authored 75 papers that have together received 6.7k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (31 papers), Congenital heart defects research (22 papers), Wnt/β-catenin signaling in development and cancer (14 papers), Zebrafish Biomedical Research Applications (13 papers), Coronary Artery Anomalies (8 papers), Cancer-related gene regulation (8 papers), Congenital Heart Disease Studies (8 papers) and Hippo pathway signaling and YAP/TAZ (7 papers). The work is most often cited by research in Cell Biology (1.6k citations), Molecular Biology (5.0k citations), Physiology (313 citations), Developmental Neuroscience (181 citations) and Genetics (1.2k citations). Gilbert Weidinger has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Randall T. Moon, Cristi L. Stoick-Cooper, Daniel Wehner, Erez Raz, Günes Özhan, Thomas Kurth, Chi Wu, Bernard Thisse, Christine Thisse and Ivonne M. Sehring. Their work appears in journals such as Developmental Biology, Development, Developmental Cell, Nature Communications and Mechanisms of Development.
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.