Daniela Schlatzer
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
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- Multiple Sclerosis Research Studies
Papers in
- Virology 5
- HIV Research and Treatment 5
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- Advanced Proteomics Techniques and Applications 4
- Co-authors
- Mary B. Moyer (4 shared papers)Martin Arthur Moseley (4 shared papers)Kevin Blackburn (4 shared papers)Richard C. Boucher (2 shared papers)Mark R. Chance (24 shared papers)Lawrence E. Ostrowski (2 shared papers)William Burkhart (2 shared papers)Emine C. Koc (2 shared papers)
- Journals
- Molecular & Cellular Proteomics (6 papers)PROTEOMICS (3 papers)Retrovirology (2 papers)Nature (2 papers)Journal of Clinical Investigation (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Daniela Schlatzer
42 papers receiving 2.0k citations
Daniela Schlatzer's Hit Papers
Peers
Comparison fields: 5 of 65
- Developmental Neuroscience 61
- Pathology and Forensic Medicine 153
- Genetics 237
- Molecular Biology 448
- Virology 36
Countries citing papers authored by Daniela Schlatzer
This map shows the geographic impact of Daniela Schlatzer'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 Daniela Schlatzer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Schlatzer more than expected).
Fields of papers citing papers by Daniela Schlatzer
This network shows the impact of papers produced by Daniela Schlatzer. 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 Daniela Schlatzer. The network helps show where Daniela Schlatzer may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Schlatzer, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 393 | |
| 2 | Drug-based modulation of endogenous stem cells promotes functional remyelination in vivo Hit paper breakdown → | 2015 | 358 |
| 3 | 2001 | 229 | |
| 4 | 2017 | 159 | |
| 5 | 2020 | 134 | |
| 6 | 2021 | 67 | |
| 7 | 2018 | 62 | |
| 8 | 2020 | 60 | |
| 9 | 2021 | 56 | |
| 10 | 2012 | 53 | |
| 11 | 2014 | 45 | |
| 12 | 2019 | 37 | |
| 13 | 2016 | 36 | |
| 14 | 2019 | 35 | |
| 15 | 2012 | 33 | |
| 16 | 2009 | 25 | |
| 17 | 2019 | 23 | |
| 18 | 2017 | 22 | |
| 19 | 2017 | 21 | |
| 20 | 2020 | 19 |
About Daniela Schlatzer
Daniela Schlatzer is a scholar working on Virology, Spectroscopy, Hepatology, Molecular Biology and Cognitive Neuroscience, having authored 44 papers that have together received 2.1k indexed citations. Recurring topics across this work include HIV Research and Treatment (5 papers), Advanced Proteomics Techniques and Applications (4 papers), RNA and protein synthesis mechanisms (2 papers), Protein Tyrosine Phosphatases (2 papers), Hepatitis C virus research (2 papers), Alzheimer's disease research and treatments (2 papers), Antimicrobial Peptides and Activities (1 paper) and Urinary Bladder and Prostate Research (1 paper). The work is most often cited by research in Developmental Neuroscience (61 citations), Pathology and Forensic Medicine (153 citations), Genetics (237 citations), Molecular Biology (448 citations) and Virology (36 citations). Daniela Schlatzer has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Mary B. Moyer, Martin Arthur Moseley, Kevin Blackburn, Richard C. Boucher, Mark R. Chance, Lawrence E. Ostrowski, William Burkhart, Emine C. Koc, Linda Lucy Spremulli and Mehmet Koyutürk. Their work appears in journals such as Molecular & Cellular Proteomics, PROTEOMICS, Retrovirology, Nature and Journal of Clinical Investigation.
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.