Daniel J. Hoeppner

4.0k citations
26 papers · 2.6k · 2 hit papers · h-index 17

Impact in

Papers in

Daniel J. Hoeppner

25 papers receiving 2.6k citations

Daniel J. Hoeppner's Hit Papers

Global Transcription in Pluripotent Embryonic Stem Cells 2008 · 513 citations
5130+6+13Years since publication250500750

Peers

Daniel J. Hoeppner
Comparison fields: 5 of 125
  • Developmental Neuroscience 379
  • Aging 148
  • Molecular Biology 1.7k
  • Cancer Research 269
  • Neurology 134
Replace Naihe Jing with:
Naihe Jing China
Juliana Brown United States
Stéphane C. Boutet United States
Go Shioi Japan
Yue J. Wang United States
Manching Ku United States
Paul J. Tesar United States
Ben W. Dulken United States
Kristopher L. Nazor United States
Jamie O. Brett United States
Daniel J. Hoeppner relative to Naihe Jing China Naihe Jing's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel J. Hoeppner

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Daniel J. Hoeppner Line = papers co-authored together Daniel J. Hoeppner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 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 →
2006794
2
Global Transcription in Pluripotent Embryonic Stem Cells
Hit paper breakdown →
2008513
3 1997259
4 2001238
5 2011111
6 2016109
7 2007109
8 200884
9 201968
10 202063
11 200547
12 201234
13 200425
14 199523
15 201122
16 200817
17 201817
18 201614
19 201313
20 201711

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 26 papers that have together received 2.6k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (6 papers), Cell Image Analysis Techniques (6 papers), Neurogenesis and neuroplasticity mechanisms (5 papers), Image Processing Techniques and Applications (4 papers), Epigenetics and DNA Methylation (4 papers), Medical Image Segmentation Techniques (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Developmental Neuroscience (379 citations), Aging (148 citations), Molecular Biology (1.7k citations), Cancer Research (269 citations) and Neurology (134 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, Raja Kittappa, Maria Adele Rueger, Steven Poser, Ralf Schnabel and Ronen R. Leker. Their work appears in journals such as Nature, Stem Cells, Cell stem cell, Stem Cell Research and Medical Image Analysis.

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.

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