Wieland Β. Huttner
- Developmental Neuroscience top 0.01%
- Neurogenesis and neuroplasticity mechanisms 88
- Cell Biology top 0.01%
- Cellular transport and secretion 88
- Microtubule and mitosis dynamics 30
- Cellular and Molecular Neuroscience top 0.1%
- Molecular Biology top 0.05%
- Lipid Membrane Structure and Behavior 58
- RNA Research and Splicing 30
- Glycosylation and Glycoproteins Research 29
- Pluripotent Stem Cells Research 26
- Cancer Research top 0.2%
- MicroRNA in disease regulation 26
- Co-authors
- Magdalena GötzDenis CorbeilPaul GreengardMichaela Wilsch‐BräuningerFederico CalegariPatrizia RosaPietro De CamilliPatrick A. Baeuerle
- Partner nations
- GermanyUnited StatesItaly
In The Last Decade
Wieland Β. Huttner
341 papers receiving 34.9k citations
Hit Papers
Peers
Comparison fields: 5 of 168
- Developmental Neuroscience 7.6k
- Cell Biology 11.5k
- Cellular and Molecular Neuroscience 7.3k
- Molecular Biology 24.7k
- Cancer Research 3.3k
Countries citing papers authored by Wieland Β. Huttner
This map shows the geographic impact of Wieland Β. Huttner'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 Wieland Β. Huttner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wieland Β. Huttner more than expected).
Fields of papers citing papers by Wieland Β. Huttner
This network shows the impact of papers produced by Wieland Β. Huttner. 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 Wieland Β. Huttner. The network helps show where Wieland Β. Huttner may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wieland Β. Huttner, 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 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 11 | |
| 4 | Human TKTL1 implies greater neurogenesis in frontal neocortex of modern humans than Neanderthalsbreakdown → | 2022 | 76 |
| 5 | 2022 | 30 | |
| 6 | 2021 | 0 | |
| 7 | 2021 | 3 | |
| 8 | 2021 | 7 | |
| 9 | 2020 | 119 | |
| 10 | 2018 | 66 | |
| 11 | Human cerebral organoids recapitulate gene expression programs of fetal neocortex developmentbreakdown → | 2015 | 767 |
| 12 | 2011 | 81 | |
| 13 | 2009 | 57 | |
| 14 | 2008 | 47 | |
| 15 | 2007 | 229 | |
| 16 | Neurons arise in the basal neuroepithelium of the early mammalian telencephalon: A major site of neurogenesisbreakdown → | 2004 | 741 |
| 17 | 2001 | 34 | |
| 18 | 1999 | 22 | |
| 19 | 1996 | 21 | |
| 20 | シナプシンI(たんぱく質I),神経終末特異的りんたんぱく質 III 高度に純化したシナプス小胞標本において研究された,シナプス小胞とシナプシンIの関連 | 1983 | 1 |
About Wieland Β. Huttner
Wieland Β. Huttner is a scholar working on Developmental Neuroscience, Cell Biology and Molecular Biology, having authored 345 papers that have together received 35.5k indexed citations. Recurring topics across this work include Cellular transport and secretion (88 papers), Neurogenesis and neuroplasticity mechanisms (88 papers), Lipid Membrane Structure and Behavior (58 papers), Microtubule and mitosis dynamics (30 papers), RNA Research and Splicing (30 papers), Glycosylation and Glycoproteins Research (29 papers), MicroRNA in disease regulation (26 papers) and Pluripotent Stem Cells Research (26 papers). The work is most often cited by research in Developmental Neuroscience (7.6k citations), Cell Biology (11.5k citations) and Cellular and Molecular Neuroscience (7.3k citations). Wieland Β. Huttner has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Magdalena Götz, Denis Corbeil, Paul Greengard, Michaela Wilsch‐Bräuninger, Federico Calegari, Patrizia Rosa, Pietro De Camilli, Patrick A. Baeuerle, Marta Florio and Wulf Haubensak. Their work appears in journals such as Nature, Science and Cell.
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.