Vivien Veninga
About
In The Last Decade
Vivien Veninga
3 papers receiving 236 citations
Hit Papers
Peers
Comparison fields: 5 of 51
- Oncology 145
- Biomedical Engineering 80
- Molecular Biology 75
- Cancer Research 64
- Immunology 28
Countries citing papers authored by Vivien Veninga
This map shows the geographic impact of Vivien Veninga'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 Vivien Veninga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vivien Veninga more than expected).
Fields of papers citing papers by Vivien Veninga
This network shows the impact of papers produced by Vivien Veninga. 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 Vivien Veninga. The network helps show where Vivien Veninga may publish in the future.
Co-authorship network of co-authors of Vivien Veninga
This figure shows the co-authorship network connecting the top 25 collaborators of Vivien Veninga. A scholar is included among the top collaborators of Vivien Veninga 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 Vivien Veninga. Vivien Veninga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Tumor organoids: Opportunities and challenges to guide precision medicine breakdown → | 209 |
| 2 | 14 | |
| 3 | 15 |
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.