Daniel Haag
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Genetics top 5%
- Glioma Diagnosis and Treatment
- Genetics and Neurodevelopmental Disorders
- Genomic variations and chromosomal abnormalities
Papers in
- Genetics 6
- Glioma Diagnosis and Treatment 6
- Co-authors
- Marius Wernig (7 shared papers)Soham Chanda (4 shared papers)Thomas C. Südhof (3 shared papers)Cheen Euong Ang (3 shared papers)Koji Tanabe (3 shared papers)Meinhard Hahn (4 shared papers)Moritz Mall (2 shared papers)Jochen Heß (2 shared papers)
- Journals
- Genes Chromosomes and Cancer (2 papers)Cell stem cell (2 papers)The Lancet (1 paper)Nature Methods (1 paper)Nature Communications (1 paper)
- Partner nations
- GermanyUnited StatesJapan
In The Last Decade
Daniel Haag
18 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 64
- Developmental Neuroscience 78
- Genetics 209
- Molecular Biology 517
- Cancer Research 69
- Cellular and Molecular Neuroscience 62
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 | 264 | |
| 2 | 2009 | 136 | |
| 3 | 2011 | 136 | |
| 4 | 2017 | 105 | |
| 5 | 2021 | 80 | |
| 6 | 2018 | 73 | |
| 7 | 2018 | 67 | |
| 8 | 2008 | 58 | |
| 9 | 2019 | 44 | |
| 10 | 2019 | 28 | |
| 11 | 2012 | 27 | |
| 12 | 2015 | 25 | |
| 13 | 2021 | 21 | |
| 14 | 2012 | 11 | |
| 15 | 2012 | 9 | |
| 16 | 2020 | 5 | |
| 17 | 2019 | 2 | |
| 18 | 2025 | 2 | |
| 19 | 2025 | 0 | |
| 20 | 2026 | 0 |
About Daniel Haag
Daniel Haag is a scholar working on Genetics, Cancer Research, Molecular Biology, Small Animals and Developmental Neuroscience, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (6 papers), Pluripotent Stem Cells Research (5 papers), Animal testing and alternatives (2 papers), DNA Repair Mechanisms (2 papers), Epilepsy research and treatment (1 paper), Nanopore and Nanochannel Transport Studies (1 paper), Skin and Cellular Biology Research (1 paper) and Acute Myeloid Leukemia Research (1 paper). The work is most often cited by research in Developmental Neuroscience (78 citations), Genetics (209 citations), Molecular Biology (517 citations), Cancer Research (69 citations) and Cellular and Molecular Neuroscience (62 citations). Daniel Haag has collaborated with scholars based in Germany, United States and Japan. Frequent co-authors include Marius Wernig, Soham Chanda, Thomas C. Südhof, Cheen Euong Ang, Koji Tanabe, Meinhard Hahn, Moritz Mall, Jochen Heß, Astrid Riehl and Peter E. Angel. Their work appears in journals such as Genes Chromosomes and Cancer, Cell stem cell, The Lancet, Nature Methods and Nature Communications.
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.