Daniel Haag
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
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- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- S100 Proteins and Annexins
- Epigenetics and DNA Methylation
Papers in
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- Pluripotent Stem Cells Research 4
- Epigenetics and DNA Methylation 3
- Hedgehog Signaling Pathway Studies 2
- CRISPR and Genetic Engineering 2
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- Cancer-related molecular mechanisms research 2
- Co-authors
- Marius Wernig (7 shared papers)Soham Chanda (4 shared papers)Cheen Euong Ang (3 shared papers)Thomas C. Südhof (3 shared papers)Koji Tanabe (3 shared papers)Meinhard Hahn (4 shared papers)Peter Angel (2 shared papers)Moritz Mall (2 shared papers)
- Journals
- Genes Chromosomes and Cancer (2 papers)Cell stem cell (2 papers)Neuro-Oncology (2 papers)Nature Methods (1 paper)Philosophical Transactions of the Royal Society B Biological Sciences (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Daniel Haag
14 papers receiving 783 citations
Peers
Comparison fields: 5 of 69
- Developmental Neuroscience 90
- Molecular Biology 572
- Aging 14
- Cellular and Molecular Neuroscience 141
- Genetics 76
Countries citing papers authored by Daniel Haag
This map shows the geographic impact of Daniel Haag'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 Haag with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Haag more than expected).
Fields of papers citing papers by Daniel Haag
This network shows the impact of papers produced by Daniel Haag. 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 Haag. The network helps show where Daniel Haag may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Haag, 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 | 2017 | 229 | |
| 2 | 2009 | 129 | |
| 3 | 2017 | 90 | |
| 4 | 2018 | 72 | |
| 5 | 2021 | 65 | |
| 6 | 2008 | 56 | |
| 7 | 2019 | 36 | |
| 8 | 2012 | 25 | |
| 9 | 2015 | 24 | |
| 10 | 2019 | 24 | |
| 11 | 2021 | 19 | |
| 12 | 2012 | 11 | |
| 13 | 2012 | 9 | |
| 14 | 2020 | 2 | |
| 15 | 2022 | 0 |
About Daniel Haag
Daniel Haag is a scholar working on Molecular Biology, Cancer Research, Genetics, Cellular and Molecular Neuroscience and Oncology, having authored 15 papers that have together received 791 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (4 papers), Epigenetics and DNA Methylation (3 papers), Glioma Diagnosis and Treatment (3 papers), Neuroscience and Neural Engineering (2 papers), Hedgehog Signaling Pathway Studies (2 papers), Cancer-related molecular mechanisms research (2 papers), CRISPR and Genetic Engineering (2 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). The work is most often cited by research in Developmental Neuroscience (90 citations), Molecular Biology (572 citations), Aging (14 citations), Cellular and Molecular Neuroscience (141 citations) and Genetics (76 citations). Daniel Haag has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Marius Wernig, Soham Chanda, Cheen Euong Ang, Thomas C. Südhof, Koji Tanabe, Meinhard Hahn, Peter Angel, Moritz Mall, Jochen Heß and Astrid Riehl. Their work appears in journals such as Genes Chromosomes and Cancer, Cell stem cell, Neuro-Oncology, Nature Methods and Philosophical Transactions of the Royal Society B Biological Sciences.
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.