Tanja Waldmann
- Developmental Neuroscience top 5%
- Molecular Biology top 5%
- Pluripotent Stem Cells Research 15
- Epigenetics and DNA Methylation 15
- Genomics and Chromatin Dynamics 13
- Cancer-related gene regulation 7
- Nuclear Structure and Function 6
- RNA Research and Splicing 5
- DNA Repair Mechanisms 4
- Small Animals top 2%
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- 3D Printing in Biomedical Research 5
- Co-authors
- Robert SchneiderMarcel LeistClaudia GrussPetra HájkováUlrike C. LangeM. Azim SuraniKatia AncelinGeneviève Almouzni
- Journals
- Archives of Toxicology (9 papers)Journal of Biological Chemistry (3 papers)Chemical Research in Toxicology (3 papers)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Tanja Waldmann
43 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 116
- Developmental Neuroscience 155
- Molecular Biology 2.0k
- Small Animals 140
- Cellular and Molecular Neuroscience 227
- Aging 18
Countries citing papers authored by Tanja Waldmann
This map shows the geographic impact of Tanja Waldmann'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 Tanja Waldmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tanja Waldmann more than expected).
Fields of papers citing papers by Tanja Waldmann
This network shows the impact of papers produced by Tanja Waldmann. 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 Tanja Waldmann. The network helps show where Tanja Waldmann may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tanja Waldmann, 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 | 2022 | 4 | |
| 2 | 2022 | 2 | |
| 3 | 2021 | 9 | |
| 4 | 2017 | 23 | |
| 5 | 2017 | 30 | |
| 6 | 2017 | 8 | |
| 7 | 2016 | 57 | |
| 8 | 2015 | 53 | |
| 9 | 2015 | 23 | |
| 10 | 2015 | 29 | |
| 11 | 2014 | 44 | |
| 12 | 2013 | 115 | |
| 13 | 2013 | 37 | |
| 14 | 2010 | 58 | |
| 15 | 2010 | 66 | |
| 16 | 2010 | 81 | |
| 17 | 2005 | 183 | |
| 18 | 2004 | 98 | |
| 19 | 2002 | 82 | |
| 20 | 2000 | 16 |
About Tanja Waldmann
Tanja Waldmann is a scholar working on Molecular Biology, Developmental Neuroscience, Cellular and Molecular Neuroscience, Parasitology and Clinical Biochemistry, having authored 43 papers that have together received 2.6k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (15 papers), Epigenetics and DNA Methylation (15 papers), Genomics and Chromatin Dynamics (13 papers), Cancer-related gene regulation (7 papers), Nuclear Structure and Function (6 papers), 3D Printing in Biomedical Research (5 papers), RNA Research and Splicing (5 papers) and DNA Repair Mechanisms (4 papers). The work is most often cited by research in Developmental Neuroscience (155 citations), Molecular Biology (2.0k citations), Small Animals (140 citations), Cellular and Molecular Neuroscience (227 citations) and Aging (18 citations). Tanja Waldmann has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Robert Schneider, Marcel Leist, Claudia Gruss, Petra Hájková, Ulrike C. Lange, M. Azim Surani, Katia Ancelin, Geneviève Almouzni, Francesca Cesari and Nicolas Lacoste. Their work appears in journals such as Archives of Toxicology, Journal of Biological Chemistry, Chemical Research in Toxicology, Journal of Visualized Experiments and Genes & Development.
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.