Daniel Stephen
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms 7
- Molecular Biology top 5%
- Hedgehog Signaling Pathway Studies 10
- Developmental Biology and Gene Regulation 8
- Epigenetics and DNA Methylation 3
- Muscle Physiology and Disorders 2
- Pluripotent Stem Cells Research 1
- Ubiquitin and proteasome pathways 1
- Genetics top 5%
- Developmental Biology top 10%
- Genetics top 10%
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- Fetal and Pediatric Neurological Disorders 1
- Co-authors
- Alexandra L. JoynerChen BaiWojtek AuerbachSandra BlaessZhimin LaoHiromichi KimuraTom CurranSema K. Sgaier
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Daniel Stephen
14 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Developmental Neuroscience 280
- Molecular Biology 1.4k
- Genetics 431
- Developmental Biology 31
- Genetics 114
Countries citing papers authored by Daniel Stephen
This map shows the geographic impact of Daniel Stephen'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 Daniel Stephen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Stephen more than expected).
Fields of papers citing papers by Daniel Stephen
This network shows the impact of papers produced by Daniel Stephen. 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 Daniel Stephen. The network helps show where Daniel Stephen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Stephen, 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 | 2020 | 10 | |
| 2 | 2019 | 32 | |
| 3 | 2018 | 23 | |
| 4 | 2017 | 9 | |
| 5 | 2011 | 104 | |
| 6 | 2010 | 70 | |
| 7 | 2009 | 39 | |
| 8 | 2008 | 66 | |
| 9 | 2008 | 72 | |
| 10 | 2007 | 75 | |
| 11 | 2005 | 124 | |
| 12 | 2004 | 362 | |
| 13 | Induction of medulloblastomas in mice by sonic hedgehog, independent of Gli1. | 2002 | 81 |
| 14 | Gli2, but notGli1, is required for initial Shh signaling and ectopic activation of the Shh pathwaybreakdown → | 2002 | 585 |
About Daniel Stephen
Daniel Stephen is a scholar working on Developmental Neuroscience, Molecular Biology and Genetics, having authored 14 papers that have together received 1.7k indexed citations. Recurring topics across this work include Hedgehog Signaling Pathway Studies (10 papers), Developmental Biology and Gene Regulation (8 papers), Neurogenesis and neuroplasticity mechanisms (7 papers), Epigenetics and DNA Methylation (3 papers), Muscle Physiology and Disorders (2 papers), Pluripotent Stem Cells Research (1 paper), Fetal and Pediatric Neurological Disorders (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Developmental Neuroscience (280 citations), Molecular Biology (1.4k citations) and Genetics (431 citations). Daniel Stephen has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Alexandra L. Joyner, Chen Bai, Wojtek Auerbach, Sandra Blaess, Zhimin Lao, Hiromichi Kimura, Tom Curran, Sema K. Sgaier, Daniel H. Turnbull and Roy V. Sillitoe. Their work appears in journals such as Development, eLife, Journal of Neuroscience, Neural Development and Developmental 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.