Gudrun Dandekar
About
In The Last Decade
Gudrun Dandekar
28 papers receiving 822 citations
Peers
Comparison fields: 5 of 92
- Oncology 362
- Molecular Biology 341
- Biomedical Engineering 218
- Immunology 150
- Cellular and Molecular Neuroscience 136
Countries citing papers authored by Gudrun Dandekar
This map shows the geographic impact of Gudrun Dandekar'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 Gudrun Dandekar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gudrun Dandekar more than expected).
Fields of papers citing papers by Gudrun Dandekar
This network shows the impact of papers produced by Gudrun Dandekar. 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 Gudrun Dandekar. The network helps show where Gudrun Dandekar may publish in the future.
Co-authorship network of co-authors of Gudrun Dandekar
This figure shows the co-authorship network connecting the top 25 collaborators of Gudrun Dandekar. A scholar is included among the top collaborators of Gudrun Dandekar 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 Gudrun Dandekar. Gudrun Dandekar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 9 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 15 | |
| 8 | 4 | |
| 9 | 10 | |
| 10 | 4 | |
| 11 | 113 | |
| 12 | 154 | |
| 13 | 66 | |
| 14 | 8 | |
| 15 | 43 | |
| 16 | 19 | |
| 17 | 10 | |
| 18 | 64 | |
| 19 | 35 | |
| 20 | Quantitating angiogenesis and assessing the causal relationship between angiogenesis and tumorigenesis: problems and progress. | 2 |
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.