Ulrike Ziebold
About
In The Last Decade
Ulrike Ziebold
19 papers receiving 7.5k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Molecular Biology 7.1k
- Cancer Research 5.4k
- Oncology 645
- Immunology 276
- Pathology and Forensic Medicine 187
Countries citing papers authored by Ulrike Ziebold
This map shows the geographic impact of Ulrike Ziebold'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 Ulrike Ziebold with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ulrike Ziebold more than expected).
Fields of papers citing papers by Ulrike Ziebold
This network shows the impact of papers produced by Ulrike Ziebold. 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 Ulrike Ziebold. The network helps show where Ulrike Ziebold may publish in the future.
Co-authorship network of co-authors of Ulrike Ziebold
This figure shows the co-authorship network connecting the top 25 collaborators of Ulrike Ziebold. A scholar is included among the top collaborators of Ulrike Ziebold 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 Ulrike Ziebold. Ulrike Ziebold is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 84 | |
| 2 | Circular RNAs are a large class of animal RNAs with regulatory potency breakdown → | 6168 |
| 3 | 62 | |
| 4 | 123 | |
| 5 | 4 | |
| 6 | 63 | |
| 7 | Wnt/β-catenin activity is essential to turn the epigenetic state to "ON" in salivary gland stem cells to create cancer stem cells. | 1 |
| 8 | 189 | |
| 9 | 27 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 75 | |
| 13 | 74 | |
| 14 | 97 | |
| 15 | 161 | |
| 16 | 282 | |
| 17 | 17 | |
| 18 | 95 | |
| 19 | 28 |
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.