Ken Vaca
About
In The Last Decade
Ken Vaca
8 papers receiving 695 citations
Hit Papers
Peers
Comparison fields: 5 of 65
- Virology 333
- Neurology 299
- Cellular and Molecular Neuroscience 214
- Molecular Biology 184
- Physiology 123
Countries citing papers authored by Ken Vaca
This map shows the geographic impact of Ken Vaca'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 Ken Vaca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Vaca more than expected).
Fields of papers citing papers by Ken Vaca
This network shows the impact of papers produced by Ken Vaca. 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 Ken Vaca. The network helps show where Ken Vaca may publish in the future.
Co-authorship network of co-authors of Ken Vaca
This figure shows the co-authorship network connecting the top 25 collaborators of Ken Vaca. A scholar is included among the top collaborators of Ken Vaca 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 Ken Vaca. Ken Vaca is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 81 | |
| 2 | Secretion of Neurotoxins by Mononuclear Phagocytes Infected with HIV-1 breakdown → | 516 |
| 3 | 32 | |
| 4 | 5 | |
| 5 | 15 | |
| 6 | 33 | |
| 7 | 20 | |
| 8 | 9 |
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.