Danielle Fassler
About
In The Last Decade
Danielle Fassler
9 papers receiving 263 citations
Peers
Comparison fields: 5 of 56
- Artificial Intelligence 102
- Radiology, Nuclear Medicine and Imaging 90
- Oncology 78
- Molecular Biology 64
- Surgery 51
Countries citing papers authored by Danielle Fassler
This map shows the geographic impact of Danielle Fassler'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 Danielle Fassler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Fassler more than expected).
Fields of papers citing papers by Danielle Fassler
This network shows the impact of papers produced by Danielle Fassler. 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 Danielle Fassler. The network helps show where Danielle Fassler may publish in the future.
Co-authorship network of co-authors of Danielle Fassler
This figure shows the co-authorship network connecting the top 25 collaborators of Danielle Fassler. A scholar is included among the top collaborators of Danielle Fassler 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 Danielle Fassler. Danielle Fassler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | Unsupervised Stain Decomposition via Inversion Regulation for Multiplex Immunohistochemistry Images. | 0 |
| 3 | 36 | |
| 4 | 73 | |
| 5 | 45 | |
| 6 | 3 | |
| 7 | 9 | |
| 8 | 35 | |
| 9 | 1 | |
| 10 | 36 |
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.