Ingo B. Runnebaum
About
In The Last Decade
Ingo B. Runnebaum
4 papers receiving 41 citations
Peers
Comparison fields: 5 of 20
- Oncology 26
- Molecular Biology 15
- Biotechnology 10
- Cancer Research 10
- Hematology 8
Countries citing papers authored by Ingo B. Runnebaum
This map shows the geographic impact of Ingo B. Runnebaum'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 Ingo B. Runnebaum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ingo B. Runnebaum more than expected).
Fields of papers citing papers by Ingo B. Runnebaum
This network shows the impact of papers produced by Ingo B. Runnebaum. 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 Ingo B. Runnebaum. The network helps show where Ingo B. Runnebaum may publish in the future.
Co-authorship network of co-authors of Ingo B. Runnebaum
This figure shows the co-authorship network connecting the top 25 collaborators of Ingo B. Runnebaum. A scholar is included among the top collaborators of Ingo B. Runnebaum 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 Ingo B. Runnebaum. Ingo B. Runnebaum is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 12 | |
| 3 | Wild-type p53 suppresses the malignant phenotype in breast cancer cells containing mutant p53 alleles. | 16 |
| 4 | 11 |
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.