Daniel J. Hoeppner
Impact in
- Developmental Neuroscience top 1%
- Neurogenesis and neuroplasticity mechanisms
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
Papers in
-
- Pluripotent Stem Cells Research 6
- Epigenetics and DNA Methylation 4
-
- Medical Image Segmentation Techniques 4
- Advanced Neural Network Applications 4
- Digital Imaging for Blood Diseases 3
- Co-authors
- Ronald D.G. McKay (11 shared papers)Rea Ravin (4 shared papers)Andreas Androutsellis‐Theotokis (2 shared papers)Michael O. Hengartner (2 shared papers)Soo-Kyung Bae (1 shared paper)Maria Adele Rueger (1 shared paper)Ronen R. Leker (1 shared paper)Raja Kittappa (1 shared paper)
- Journals
- Nature (3 papers)Cell stem cell (2 papers)Stem Cells (2 papers)Gastroenterology (1 paper)Developmental Biology (1 paper)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Daniel J. Hoeppner
27 papers receiving 2.7k citations
Daniel J. Hoeppner's Hit Papers
Peers
Comparison fields: 5 of 132
- Developmental Neuroscience 407
- Aging 156
- Molecular Biology 1.8k
- Cancer Research 280
- Biophysics 118
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 28 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 | 831 |
| 2 | Global Transcription in Pluripotent Embryonic Stem Cells Hit paper breakdown → | 2008 | 531 |
| 3 | 1997 | 280 | |
| 4 | 2001 | 247 | |
| 5 | 2011 | 116 | |
| 6 | 2007 | 114 | |
| 7 | 2016 | 111 | |
| 8 | 2008 | 94 | |
| 9 | 2019 | 75 | |
| 10 | 2020 | 64 | |
| 11 | 2005 | 50 | |
| 12 | 2019 | 40 | |
| 13 | 2012 | 35 | |
| 14 | 2004 | 25 | |
| 15 | 2011 | 24 | |
| 16 | 1995 | 23 | |
| 17 | 2018 | 19 | |
| 18 | 2008 | 17 | |
| 19 | 2013 | 14 | |
| 20 | 2016 | 14 |
About Daniel J. Hoeppner
Daniel J. Hoeppner is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Biophysics, Developmental Neuroscience and Media Technology, having authored 28 papers that have together received 2.8k indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (7 papers), Pluripotent Stem Cells Research (6 papers), Neurogenesis and neuroplasticity mechanisms (5 papers), Medical Image Segmentation Techniques (4 papers), Image Processing Techniques and Applications (4 papers), Advanced Neural Network Applications (4 papers), Epigenetics and DNA Methylation (4 papers) and Digital Imaging for Blood Diseases (3 papers). The work is most often cited by research in Developmental Neuroscience (407 citations), Aging (156 citations), Molecular Biology (1.8k citations), Cancer Research (280 citations) and Biophysics (118 citations). Daniel J. Hoeppner has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Ronald D.G. McKay, Rea Ravin, Andreas Androutsellis‐Theotokis, Michael O. Hengartner, Soo-Kyung Bae, Maria Adele Rueger, Ronen R. Leker, Raja Kittappa, Steven Poser and Frank Soldner. Their work appears in journals such as Nature, Cell stem cell, Stem Cells, Gastroenterology and Developmental Biology.
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.