Daniela Schulte
Impact in
- Hepatology top 10%
- Hepatitis C virus research
- Plant Science top 10%
- Wheat and Barley Genetics and Pathology
- Plant Disease Resistance and Genetics
- Chromosomal and Genetic Variations
- Genetics and Plant Breeding
Papers in
-
- Wheat and Barley Genetics and Pathology 5
- Plant Disease Resistance and Genetics 4
- Plant Virus Research Studies 3
- Plant Pathogenic Bacteria Studies 3
-
- T-cell and B-cell Immunology 3
- Immune Cell Function and Interaction 3
- Co-authors
- Nils Stein (7 shared papers)Andreas Graner (4 shared papers)Peter Langridge (2 shared papers)Ulrich Spengler (8 shared papers)Benjamin Krämer (7 shared papers)Christian Körner (7 shared papers)Jacob Nattermann (8 shared papers)Robbie Waugh (2 shared papers)
- Journals
- The Journal of Infectious Diseases (2 papers)BMC Genomics (2 papers)Antiviral Therapy (1 paper)BioTechniques (1 paper)European Journal of Immunology (1 paper)
- Partner nations
- GermanyAustraliaUnited States
In The Last Decade
Daniela Schulte
17 papers receiving 578 citations
Peers
Comparison fields: 5 of 65
- Hepatology 90
- Plant Science 346
- Virology 22
- Immunology 84
- Genetics 83
Countries citing papers authored by Daniela Schulte
This map shows the geographic impact of Daniela Schulte'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 Schulte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Schulte more than expected).
Fields of papers citing papers by Daniela Schulte
This network shows the impact of papers produced by Daniela Schulte. 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 Schulte. The network helps show where Daniela Schulte may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Schulte, 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 | 2009 | 181 | |
| 2 | 2009 | 62 | |
| 3 | 2009 | 61 | |
| 4 | 2009 | 44 | |
| 5 | 2011 | 41 | |
| 6 | 2011 | 39 | |
| 7 | 2007 | 34 | |
| 8 | 2008 | 29 | |
| 9 | 2006 | 26 | |
| 10 | 2009 | 23 | |
| 11 | 2011 | 17 | |
| 12 | 2013 | 10 | |
| 13 | 2011 | 10 | |
| 14 | 2013 | 10 | |
| 15 | 2008 | 6 | |
| 16 | 2011 | 6 | |
| 17 | 2008 | 6 | |
| 18 | 2010 | 3 |
About Daniela Schulte
Daniela Schulte is a scholar working on Plant Science, Immunology, Hepatology, Epidemiology and Molecular Biology, having authored 18 papers that have together received 608 indexed citations. Recurring topics across this work include Wheat and Barley Genetics and Pathology (5 papers), Hepatitis C virus research (5 papers), Plant Disease Resistance and Genetics (4 papers), T-cell and B-cell Immunology (3 papers), Plant Virus Research Studies (3 papers), Immune Cell Function and Interaction (3 papers), Plant Pathogenic Bacteria Studies (3 papers) and Cytomegalovirus and herpesvirus research (2 papers). The work is most often cited by research in Hepatology (90 citations), Plant Science (346 citations), Virology (22 citations), Immunology (84 citations) and Genetics (83 citations). Daniela Schulte has collaborated with scholars based in Germany, Australia and United States. Frequent co-authors include Nils Stein, Andreas Graner, Peter Langridge, Ulrich Spengler, Benjamin Krämer, Christian Körner, Jacob Nattermann, Robbie Waugh, Timothy J. Close and Roger P. Wise. Their work appears in journals such as The Journal of Infectious Diseases, BMC Genomics, Antiviral Therapy, BioTechniques and European Journal of Immunology.
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.