Barbara S. Schnierle
- Infectious Diseases top 2%
- Molecular Biology top 10%
- Immunology top 5%
- Genetics top 5%
- Virology top 1%
- Co-authors
- Katja SlivaLisa HenßChristine von RheinWinfried S. WelsBernd GronerGerd SutterTorsten TonnChristopher Weber
- Topics
- Virus-based gene therapy research (26 papers)Mosquito-borne diseases and control (20 papers)HIV Research and Treatment (17 papers)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Barbara S. Schnierle
83 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 100
- Infectious Diseases 819
- Molecular Biology 792
- Immunology 542
- Genetics 477
- Virology 470
Countries citing papers authored by Barbara S. Schnierle
This map shows the geographic impact of Barbara S. Schnierle'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 Barbara S. Schnierle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara S. Schnierle more than expected).
Fields of papers citing papers by Barbara S. Schnierle
This network shows the impact of papers produced by Barbara S. Schnierle. 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 Barbara S. Schnierle. The network helps show where Barbara S. Schnierle may publish in the future.
Co-authorship network of co-authors of Barbara S. Schnierle
This figure shows the co-authorship network connecting the top 25 collaborators of Barbara S. Schnierle. A scholar is included among the top collaborators of Barbara S. Schnierle based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Barbara S. Schnierle. Barbara S. Schnierle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 46 | |
| 2 | 6 | |
| 3 | 4 | |
| 4 | 24 | |
| 5 | 18 | |
| 6 | 37 | |
| 7 | 25 | |
| 8 | Expression of human endogenous retrovirus-K coincides with that of micro-RNA-663 and -638 in germ-cell tumor cells. | 8 |
| 9 | 29 | |
| 10 | 73 | |
| 11 | 64 | |
| 12 | 13 | |
| 13 | 20 | |
| 14 | 5 | |
| 15 | 12 | |
| 16 | 8 | |
| 17 | 10 | |
| 18 | 6 | |
| 19 | 10 | |
| 20 | Cytolysis of tumor cells expressing the Neu/erbB-2, erbB-3, and erbB-4 receptors by genetically targeted naive T lymphocytes. | 65 |
About Barbara S. Schnierle
Barbara S. Schnierle is a scholar working on Virology, Infectious Diseases and Genetics, having authored 84 papers that have together received 2.5k indexed citations. Recurring topics across this work include Virus-based gene therapy research (26 papers), Mosquito-borne diseases and control (20 papers) and HIV Research and Treatment (17 papers). The work is most often cited by research in Virology (470 citations), Infectious Diseases (819 citations) and Immunology (542 citations). Barbara S. Schnierle has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Katja Sliva, Lisa Henß, Christine von Rhein, Winfried S. Wels, Bernd Groner, Gerd Sutter, Torsten Tonn, Christopher Weber, Christoph Uherek and Sven Becker. Their work appears in journals such as Proceedings of the National Academy of Sciences, Blood and PLoS ONE.
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.