Daniel J. Hoeppner
Impact in
- Developmental Neuroscience top 1%
- Neurogenesis and neuroplasticity mechanisms
- Genetics top 5%
- Glioma Diagnosis and Treatment
Papers in
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- Neurogenesis and neuroplasticity mechanisms 7
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- Cell Image Analysis Techniques 8
- Co-authors
- Ronald D.G. McKay (11 shared papers)Michael O. Hengartner (4 shared papers)Rea Ravin (4 shared papers)Andreas Androutsellis‐Theotokis (2 shared papers)Frank Soldner (1 shared paper)Raja Kittappa (1 shared paper)Soo‐Kyung Bae (1 shared paper)Ralf Schnabel (1 shared paper)
- Journals
- Nature (3 papers)Nature Communications (2 papers)Cell stem cell (2 papers)Stem Cells (2 papers)Nature Neuroscience (2 papers)
- Partner nations
- United StatesJapanSwitzerland
In The Last Decade
Daniel J. Hoeppner
34 papers receiving 3.1k citations
Daniel J. Hoeppner's Hit Papers
Peers
Comparison fields: 5 of 99
- Developmental Neuroscience 473
- Genetics 264
- Molecular Biology 1.5k
- Biophysics 147
- Oncology 269
Countries citing papers authored by Daniel J. Hoeppner
This map shows the geographic impact of Daniel J. Hoeppner'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 J. Hoeppner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Hoeppner more than expected).
Fields of papers citing papers by Daniel J. Hoeppner
This network shows the impact of papers produced by Daniel J. Hoeppner. 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 J. Hoeppner. The network helps show where Daniel J. Hoeppner may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel J. Hoeppner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Notch signalling regulates stem cell numbers in vitro and in vivo Hit paper breakdown → | 2006 | 829 |
| 2 | 2008 | 526 | |
| 3 | 1997 | 273 | |
| 4 | 2001 | 250 | |
| 5 | 2011 | 161 | |
| 6 | 2016 | 131 | |
| 7 | 2011 | 121 | |
| 8 | 2007 | 117 | |
| 9 | 2020 | 107 | |
| 10 | 2008 | 98 | |
| 11 | 2019 | 81 | |
| 12 | 2020 | 79 | |
| 13 | 2005 | 50 | |
| 14 | 2019 | 43 | |
| 15 | 2022 | 42 | |
| 16 | 2012 | 38 | |
| 17 | 2004 | 26 | |
| 18 | 2011 | 25 | |
| 19 | 1995 | 23 | |
| 20 | 2018 | 21 |
About Daniel J. Hoeppner
Daniel J. Hoeppner is a scholar working on Developmental Neuroscience, Biophysics, Molecular Biology, Psychiatry and Mental health and Genetics, having authored 35 papers that have together received 3.2k indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (8 papers), Neurogenesis and neuroplasticity mechanisms (7 papers), Pluripotent Stem Cells Research (5 papers), Schizophrenia research and treatment (4 papers), Cell death mechanisms and regulation (4 papers), Genetic Associations and Epidemiology (2 papers), Microtubule and mitosis dynamics (1 paper) and Liver physiology and pathology (1 paper). The work is most often cited by research in Developmental Neuroscience (473 citations), Genetics (264 citations), Molecular Biology (1.5k citations), Biophysics (147 citations) and Oncology (269 citations). Daniel J. Hoeppner has collaborated with scholars based in United States, Japan and Switzerland. Frequent co-authors include Ronald D.G. McKay, Michael O. Hengartner, Rea Ravin, Andreas Androutsellis‐Theotokis, Frank Soldner, Raja Kittappa, Soo‐Kyung Bae, Ralf Schnabel, Maria Adele Rueger and Steven Poser. Their work appears in journals such as Nature, Nature Communications, Cell stem cell, Stem Cells and Nature Neuroscience.
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.