Daniel Wolf
Impact in
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms
- Virology top 5%
Papers in
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- Pluripotent Stem Cells Research 4
- CRISPR and Genetic Engineering 3
-
- Radiomics and Machine Learning in Medical Imaging 5
- Co-authors
- Stephen P. Goff (8 shared papers)Tony Kouzarides (2 shared papers)François Fuks (1 shared paper)Adrian Bird (1 shared paper)Xinsheng Nan (1 shared paper)Paul J. Hurd (1 shared paper)Malin Parmar (2 shared papers)Shane Grealish (2 shared papers)
- Journals
- Journal of Virology (3 papers)Neurology (2 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (2 papers)Cancers (2 papers)
- Partner nations
- United StatesGermanySweden
In The Last Decade
Daniel Wolf
33 papers receiving 3.1k citations
Daniel Wolf's Hit Papers
Peers
Comparison fields: 5 of 122
- Developmental Neuroscience 278
- Virology 184
- Molecular Biology 2.2k
- Cellular and Molecular Neuroscience 460
- Genetics 573
Countries citing papers authored by Daniel Wolf
This map shows the geographic impact of Daniel Wolf'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 Wolf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Wolf more than expected).
Fields of papers citing papers by Daniel Wolf
This network shows the impact of papers produced by Daniel Wolf. 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 Wolf. The network helps show where Daniel Wolf may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Wolf, 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 | The Methyl-CpG-binding Protein MeCP2 Links DNA Methylation to Histone Methylation Hit paper breakdown → | 2003 | 779 |
| 2 | Generation of Regionally Specified Neural Progenitors and Functional Neurons from Human Embryonic Stem Cells under Defined Conditions Hit paper breakdown → | 2012 | 499 |
| 3 | 2013 | 329 | |
| 4 | 2009 | 294 | |
| 5 | 2007 | 268 | |
| 6 | 2002 | 146 | |
| 7 | 2008 | 146 | |
| 8 | 2010 | 77 | |
| 9 | 2011 | 67 | |
| 10 | 2008 | 60 | |
| 11 | 2012 | 49 | |
| 12 | 2008 | 47 | |
| 13 | 2016 | 37 | |
| 14 | 2015 | 36 | |
| 15 | 2014 | 35 | |
| 16 | 2023 | 35 | |
| 17 | 2020 | 34 | |
| 18 | 2020 | 31 | |
| 19 | 2015 | 29 | |
| 20 | 2023 | 24 |
About Daniel Wolf
Daniel Wolf is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Physiology, Cellular and Molecular Neuroscience and Virology, having authored 35 papers that have together received 3.1k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (5 papers), HIV Research and Treatment (5 papers), Pluripotent Stem Cells Research (4 papers), Sarcoma Diagnosis and Treatment (4 papers), Virus-based gene therapy research (4 papers), Lysosomal Storage Disorders Research (3 papers), CRISPR and Genetic Engineering (3 papers) and Cerebrospinal fluid and hydrocephalus (2 papers). The work is most often cited by research in Developmental Neuroscience (278 citations), Virology (184 citations), Molecular Biology (2.2k citations), Cellular and Molecular Neuroscience (460 citations) and Genetics (573 citations). Daniel Wolf has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Stephen P. Goff, Tony Kouzarides, François Fuks, Adrian Bird, Xinsheng Nan, Paul J. Hurd, Malin Parmar, Shane Grealish, Agnete Kirkeby and Martin Lundblad. Their work appears in journals such as Journal of Virology, Neurology, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Cancers.
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.