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
-
- Bioinformatics and Genomic Networks 4
- Ubiquitin and proteasome pathways 4
- Oncology 8
- Peptidase Inhibition and Analysis 3
- Co-authors
- Mary B. Moyer (4 shared papers)Arthur Moseley (4 shared papers)Kevin Blackburn (2 shared papers)Richard C. Boucher (2 shared papers)Lawrence E. Ostrowski (2 shared papers)Mark R. Chance (26 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)Clinical Infectious Diseases (1 paper)Scientific Reports (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 854
- Genetics 320
- Cell Biology 186
- Virology 44
- Aging 16
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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 349 | |
| 2 | 2001 | 214 | |
| 3 | 2020 | 116 | |
| 4 | 2021 | 55 | |
| 5 | 2012 | 48 | |
| 6 | 2021 | 45 | |
| 7 | 2014 | 41 | |
| 8 | 2019 | 35 | |
| 9 | 2016 | 33 | |
| 10 | 2019 | 27 | |
| 11 | 2012 | 24 | |
| 12 | 2009 | 23 | |
| 13 | 2019 | 23 | |
| 14 | 2017 | 20 | |
| 15 | 2015 | 18 | |
| 16 | 2017 | 18 | |
| 17 | 2020 | 16 | |
| 18 | 2011 | 15 | |
| 19 | 2013 | 15 | |
| 20 | 2013 | 14 |
About Daniela Schlatzer
Daniela Schlatzer is a scholar working on Molecular Biology, Oncology, Immunology, Virology and Physiology, having authored 42 papers that have together received 1.3k indexed citations. Recurring topics across this work include HIV Research and Treatment (6 papers), Advanced Proteomics Techniques and Applications (6 papers), Immune Cell Function and Interaction (4 papers), Bioinformatics and Genomic Networks (4 papers), Ubiquitin and proteasome pathways (4 papers), Alzheimer's disease research and treatments (3 papers), Peptidase Inhibition and Analysis (3 papers) and HIV/AIDS drug development and treatment (3 papers). The work is most often cited by research in Molecular Biology (854 citations), Genetics (320 citations), Cell Biology (186 citations), Virology (44 citations) and Aging (16 citations). Daniela Schlatzer has collaborated with scholars based in United States, United Kingdom and Türkiye. Frequent co-authors include Mary B. Moyer, Arthur Moseley, Kevin Blackburn, Richard C. Boucher, Lawrence E. Ostrowski, Mark R. Chance, William Burkhart, Emine C. Koc, Linda Spremulli and Mehmet Koyutürk. Their work appears in journals such as Molecular & Cellular Proteomics, PROTEOMICS, Retrovirology, Clinical Infectious Diseases and Scientific Reports.
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.