Daniela Schlatzer
Impact in
- Molecular Biology top 10%
- Protist diversity and phylogeny
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Mitochondrial Function and Pathology
- Ubiquitin and proteasome pathways
- Genetics top 10%
- Genetic and Kidney Cyst Diseases
Papers in
-
- Ubiquitin and proteasome pathways 4
- Bioinformatics and Genomic Networks 3
- Oncology 8
- Peptidase Inhibition and Analysis 3
- Co-authors
- Arthur Moseley (4 shared papers)Kevin Blackburn (2 shared papers)Mary B. Moyer (4 shared papers)Lawrence E. Ostrowski (2 shared papers)Mark R. Chance (26 shared papers)Richard C. Boucher (2 shared papers)William Burkhart (2 shared papers)Linda Spremulli (2 shared papers)
- Journals
- Molecular & Cellular Proteomics (6 papers)PROTEOMICS (3 papers)Retrovirology (2 papers)Neuro-Oncology Advances (1 paper)Journal of Leukocyte Biology (1 paper)
- Partner nations
- United StatesUnited KingdomTürkiye
In The Last Decade
Daniela Schlatzer
40 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 104
- Molecular Biology 837
- Genetics 324
- Cell Biology 177
- Aging 16
- Virology 40
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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 369 | |
| 2 | 2001 | 223 | |
| 3 | 2020 | 120 | |
| 4 | 2021 | 57 | |
| 5 | 2012 | 52 | |
| 6 | 2021 | 47 | |
| 7 | 2014 | 42 | |
| 8 | 2019 | 35 | |
| 9 | 2016 | 35 | |
| 10 | 2012 | 32 | |
| 11 | 2019 | 30 | |
| 12 | 2009 | 25 | |
| 13 | 2019 | 23 | |
| 14 | 2017 | 21 | |
| 15 | 2017 | 18 | |
| 16 | 2015 | 18 | |
| 17 | 2011 | 17 | |
| 18 | 2020 | 17 | |
| 19 | 2013 | 16 | |
| 20 | 2015 | 14 |
About Daniela Schlatzer
Daniela Schlatzer is a scholar working on Molecular Biology, Oncology, Physiology, Spectroscopy and Immunology, having authored 43 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (6 papers), Ubiquitin and proteasome pathways (4 papers), HIV Research and Treatment (4 papers), Peptidase Inhibition and Analysis (3 papers), Genetics and Neurodevelopmental Disorders (3 papers), Alzheimer's disease research and treatments (3 papers), Bioinformatics and Genomic Networks (3 papers) and Muscle metabolism and nutrition (2 papers). The work is most often cited by research in Molecular Biology (837 citations), Genetics (324 citations), Cell Biology (177 citations), Aging (16 citations) and Virology (40 citations). Daniela Schlatzer has collaborated with scholars based in United States, United Kingdom and Türkiye. Frequent co-authors include Arthur Moseley, Kevin Blackburn, Mary B. Moyer, Lawrence E. Ostrowski, Mark R. Chance, Richard C. Boucher, William Burkhart, Linda Spremulli, Emine C. Koc and Jean‐Eudes Dazard. Their work appears in journals such as Molecular & Cellular Proteomics, PROTEOMICS, Retrovirology, Neuro-Oncology Advances and Journal of Leukocyte Biology.
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.