Veronica T. Benites
- Molecular Biology top 10%
- Biomedical Engineering top 10%
- Plant Science
- Pharmacology top 10%
- Biotechnology top 5%
- Co-authors
- Edward E. K. BaidooJay D. KeaslingChristopher J. PetzoldPaul D. AdamsAymerick EudesTaek Soon LeeDominique LoquéYan Chen
- Topics
- Microbial Metabolic Engineering and Bioproduction (16 papers)Biofuel production and bioconversion (10 papers)Microbial Natural Products and Biosynthesis (9 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyNature Communications
- Partner nations
- United StatesDenmarkChina
In The Last Decade
Veronica T. Benites
34 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 92
- Molecular Biology 856
- Biomedical Engineering 292
- Plant Science 157
- Pharmacology 150
- Biotechnology 125
Countries citing papers authored by Veronica T. Benites
This map shows the geographic impact of Veronica T. Benites'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 Veronica T. Benites with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Veronica T. Benites more than expected).
Fields of papers citing papers by Veronica T. Benites
This network shows the impact of papers produced by Veronica T. Benites. 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 Veronica T. Benites. The network helps show where Veronica T. Benites may publish in the future.
Co-authorship network of co-authors of Veronica T. Benites
This figure shows the co-authorship network connecting the top 25 collaborators of Veronica T. Benites. A scholar is included among the top collaborators of Veronica T. Benites 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 Veronica T. Benites. Veronica T. Benites is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 19 | |
| 4 | 20 | |
| 5 | 47 | |
| 6 | 38 | |
| 7 | 24 | |
| 8 | 6 | |
| 9 | 46 | |
| 10 | 65 | |
| 11 | 19 | |
| 12 | 11 | |
| 13 | 118 | |
| 14 | 18 | |
| 15 | 30 | |
| 16 | 84 | |
| 17 | 16 | |
| 18 | 15 | |
| 19 | 38 | |
| 20 | 73 |
About Veronica T. Benites
Veronica T. Benites is a scholar working on Biotechnology, Pharmacology and Molecular Biology, having authored 34 papers that have together received 1.0k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (16 papers), Biofuel production and bioconversion (10 papers) and Microbial Natural Products and Biosynthesis (9 papers). The work is most often cited by research in Biotechnology (125 citations), Molecular Biology (856 citations) and Pharmacology (150 citations). Veronica T. Benites has collaborated with scholars based in United States, Denmark and China. Frequent co-authors include Edward E. K. Baidoo, Jay D. Keasling, Christopher J. Petzold, Paul D. Adams, Aymerick Eudes, Taek Soon Lee, Dominique Loqué, Yan Chen, Yinjie Tang and Jeffrey J. Czajka. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nature Communications.
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.