Stefanie Scherer
About
In The Last Decade
Stefanie Scherer
6 papers receiving 286 citations
Peers
Comparison fields: 5 of 55
- Immunology 163
- Molecular Biology 110
- Oncology 96
- Hematology 34
- Genetics 24
Countries citing papers authored by Stefanie Scherer
This map shows the geographic impact of Stefanie Scherer'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 Stefanie Scherer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefanie Scherer more than expected).
Fields of papers citing papers by Stefanie Scherer
This network shows the impact of papers produced by Stefanie Scherer. 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 Stefanie Scherer. The network helps show where Stefanie Scherer may publish in the future.
Co-authorship network of co-authors of Stefanie Scherer
This figure shows the co-authorship network connecting the top 25 collaborators of Stefanie Scherer. A scholar is included among the top collaborators of Stefanie Scherer 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 Stefanie Scherer. Stefanie Scherer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 57 | |
| 2 | 35 | |
| 3 | 20 | |
| 4 | 3 | |
| 5 | 147 | |
| 6 | Targeting CD19 with genetically modified EBV-specific human T lymphocytes. | 26 |
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.