Daniela Schulte
Impact in
- Hepatology top 10%
- Hepatitis C virus research
- Plant Science top 10%
- Plant Disease Resistance and Genetics
- Wheat and Barley Genetics and Pathology
- Chromosomal and Genetic Variations
Papers in
-
- Plant Disease Resistance and Genetics 7
- Wheat and Barley Genetics and Pathology 6
- Chromosomal and Genetic Variations 4
- Plant Pathogenic Bacteria Studies 3
- Plant Virus Research Studies 3
-
- Hepatitis C virus research 5
- Co-authors
- Nils Stein (7 shared papers)Andreas Graner (4 shared papers)Peter Langridge (2 shared papers)Jacob Nattermann (7 shared papers)Benjamin Krämer (6 shared papers)Ulrich Spengler (7 shared papers)Christian Körner (6 shared papers)Takashi Matsumoto (1 shared paper)
- Journals
- BMC Genomics (2 papers)The Journal of Infectious Diseases (2 papers)Molecular Genetics and Genomics (1 paper)Theoretical and Applied Genetics (1 paper)PLANT PHYSIOLOGY (1 paper)
- Partner nations
- GermanyAustraliaUnited Kingdom
In The Last Decade
Daniela Schulte
17 papers receiving 502 citations
Peers
Comparison fields: 5 of 61
- Hepatology 96
- Plant Science 301
- Virology 32
- Immunology 89
- Genetics 75
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 | 150 | |
| 2 | 2009 | 59 | |
| 3 | 2009 | 52 | |
| 4 | 2009 | 42 | |
| 5 | 2011 | 36 | |
| 6 | 2011 | 34 | |
| 7 | 2007 | 29 | |
| 8 | 2008 | 25 | |
| 9 | 2009 | 22 | |
| 10 | 2006 | 22 | |
| 11 | 2011 | 16 | |
| 12 | 2013 | 8 | |
| 13 | 2008 | 6 | |
| 14 | 2011 | 6 | |
| 15 | 2013 | 6 | |
| 16 | 2011 | 4 | |
| 17 | 2010 | 3 |
About Daniela Schulte
Daniela Schulte is a scholar working on Plant Science, Hepatology, Epidemiology, Immunology and Virology, having authored 17 papers that have together received 520 indexed citations. Recurring topics across this work include Plant Disease Resistance and Genetics (7 papers), Wheat and Barley Genetics and Pathology (6 papers), Hepatitis C virus research (5 papers), Chromosomal and Genetic Variations (4 papers), Plant Pathogenic Bacteria Studies (3 papers), Plant Virus Research Studies (3 papers), T-cell and B-cell Immunology (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Hepatology (96 citations), Plant Science (301 citations), Virology (32 citations), Immunology (89 citations) and Genetics (75 citations). Daniela Schulte has collaborated with scholars based in Germany, Australia and United Kingdom. Frequent co-authors include Nils Stein, Andreas Graner, Peter Langridge, Jacob Nattermann, Benjamin Krämer, Ulrich Spengler, Christian Körner, Takashi Matsumoto, Timothy J. Close and Roger P. Wise. Their work appears in journals such as BMC Genomics, The Journal of Infectious Diseases, Molecular Genetics and Genomics, Theoretical and Applied Genetics and PLANT PHYSIOLOGY.
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.