Georg Halder
- Cell Biology top 0.01%
- Hippo pathway signaling and YAP/TAZ 49
- Cellular Mechanics and Interactions 7
- Molecular Biology top 0.2%
- Wnt/β-catenin signaling in development and cancer 24
- Developmental Biology and Gene Regulation 21
- Retinal Development and Disorders 7
- Ubiquitin and proteasome pathways 5
- Aging top 1%
-
- Neurobiology and Insect Physiology Research 7
- Biochemistry top 0.5%
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- Liver physiology and pathology 5
- Co-authors
- Randy L. JohnsonPatrick CallaertsWalter J. GehringChunyao TaoIván M. MoyaMadhuri Kango‐SinghRyan S. UdanRiitta Nolo
- Cited by
- Cell BiologyMolecular BiologyAging
- Journals
- Proceedings of the National Academy of Sciences (11 papers)Current Biology (7 papers)Development (6 papers)
- Partner nations
- United StatesBelgiumSwitzerland
In The Last Decade
Georg Halder
83 papers receiving 16.2k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Cell Biology 9.9k
- Molecular Biology 10.3k
- Aging 187
- Cellular and Molecular Neuroscience 1.5k
- Biochemistry 471
Countries citing papers authored by Georg Halder
This map shows the geographic impact of Georg Halder'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 Georg Halder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Georg Halder more than expected).
Fields of papers citing papers by Georg Halder
This network shows the impact of papers produced by Georg Halder. 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 Georg Halder. The network helps show where Georg Halder may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Georg Halder, 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 | 2024 | 0 | |
| 3 | 2024 | 30 | |
| 4 | 2023 | 8 | |
| 5 | 2022 | 43 | |
| 6 | 2021 | 46 | |
| 7 | 2019 | 12 | |
| 8 | 2019 | 44 | |
| 9 | 2018 | 13 | |
| 10 | 2017 | 85 | |
| 11 | 2015 | 100 | |
| 12 | 2015 | 280 | |
| 13 | 2012 | 28 | |
| 14 | 2011 | 320 | |
| 15 | Hippo signaling is a potent in vivo growth and tumor suppressor pathway in the mammalian liverbreakdown → | 2010 | 586 |
| 16 | 2008 | 112 | |
| 17 | 2006 | 93 | |
| 18 | 2000 | 22 | |
| 19 | 1998 | 261 | |
| 20 | Induction of Ectopic Eyes by Targeted Expression of the eyeless Gene in Drosophilabreakdown → | 1995 | 1189 |
About Georg Halder
Georg Halder is a scholar working on Cell Biology, Molecular Biology and Hepatology, having authored 84 papers that have together received 16.4k indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (49 papers), Wnt/β-catenin signaling in development and cancer (24 papers), Developmental Biology and Gene Regulation (21 papers), Neurobiology and Insect Physiology Research (7 papers), Cellular Mechanics and Interactions (7 papers), Retinal Development and Disorders (7 papers), Liver physiology and pathology (5 papers) and Ubiquitin and proteasome pathways (5 papers). The work is most often cited by research in Cell Biology (9.9k citations), Molecular Biology (10.3k citations) and Aging (187 citations). Georg Halder has collaborated with scholars based in United States, Belgium and Switzerland. Frequent co-authors include Randy L. Johnson, Patrick Callaerts, Walter J. Gehring, Chunyao Tao, Iván M. Moya, Madhuri Kango‐Singh, Ryan S. Udan, Riitta Nolo, Sirio Dupont and Stefano Piccolo. Their work appears in journals such as Proceedings of the National Academy of Sciences, Current Biology, Development, Nature Cell Biology and Nature Communications.
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.