Darin Taverna
About
In The Last Decade
Darin Taverna
19 papers receiving 656 citations
Peers
Comparison fields: 5 of 95
- Molecular Biology 491
- Genetics 193
- Oncology 94
- Materials Chemistry 92
- Cancer Research 51
Countries citing papers authored by Darin Taverna
This map shows the geographic impact of Darin Taverna'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 Darin Taverna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Darin Taverna more than expected).
Fields of papers citing papers by Darin Taverna
This network shows the impact of papers produced by Darin Taverna. 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 Darin Taverna. The network helps show where Darin Taverna may publish in the future.
Co-authorship network of co-authors of Darin Taverna
This figure shows the co-authorship network connecting the top 25 collaborators of Darin Taverna. A scholar is included among the top collaborators of Darin Taverna 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 Darin Taverna. Darin Taverna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 9 | |
| 3 | 8 | |
| 4 | 1 | |
| 5 | 69 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 6 | |
| 9 | 7 | |
| 10 | 32 | |
| 11 | 14 | |
| 12 | 15 | |
| 13 | Genome wide survey of microRNA-Transcription Factor regulatory circuits in human | 4 |
| 14 | Molecular profiling using immunohistochemistry (IHC) and DNA microarray (DMA) as a tool to determine potential therapeutic targets in patients who have progressed on multiple prior therapies | 4 |
| 15 | 15 | |
| 16 | 120 | |
| 17 | 281 | |
| 18 | 57 | |
| 19 | 0 | |
| 20 | 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.