Vanessa M. Macias
- Molecular Biology top 10%
- Insect Science top 1%
- Public Health, Environmental and Occupational Health top 5%
- Genetics top 10%
- Plant Science
- Co-authors
- Anthony A. JamesNijole JasinskieneEthan BierValentino M. GantzJason L. RasgonSujit PujhariDuverney Chaverra‐RodriguezGrant L. Hughes
- Topics
- CRISPR and Genetic Engineering (12 papers)Insect symbiosis and bacterial influences (9 papers)Insect Resistance and Genetics (6 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- United StatesItalyBrazil
In The Last Decade
Vanessa M. Macias
12 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Molecular Biology 791
- Insect Science 577
- Public Health, Environmental and Occupational Health 354
- Genetics 199
- Plant Science 122
Countries citing papers authored by Vanessa M. Macias
This map shows the geographic impact of Vanessa M. Macias'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 Vanessa M. Macias with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vanessa M. Macias more than expected).
Fields of papers citing papers by Vanessa M. Macias
This network shows the impact of papers produced by Vanessa M. Macias. 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 Vanessa M. Macias. The network helps show where Vanessa M. Macias may publish in the future.
Co-authorship network of co-authors of Vanessa M. Macias
This figure shows the co-authorship network connecting the top 25 collaborators of Vanessa M. Macias. A scholar is included among the top collaborators of Vanessa M. Macias 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 Vanessa M. Macias. Vanessa M. Macias 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 | 8 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 7 | |
| 7 | 2 | |
| 8 | 63 | |
| 9 | 80 | |
| 10 | 164 | |
| 11 | 12 | |
| 12 | 67 | |
| 13 | Highly efficient Cas9-mediated gene drive for population modification of the malaria vector mosquito Anopheles stephensibreakdown → | 667 |
| 14 | 13 |
About Vanessa M. Macias
Vanessa M. Macias is a scholar working on Insect Science, Molecular Biology and Public Health, Environmental and Occupational Health, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (12 papers), Insect symbiosis and bacterial influences (9 papers) and Insect Resistance and Genetics (6 papers). The work is most often cited by research in Insect Science (577 citations), Business and International Management (54 citations) and Aging (24 citations). Vanessa M. Macias has collaborated with scholars based in United States, Italy and Brazil. Frequent co-authors include Anthony A. James, Nijole Jasinskiene, Ethan Bier, Valentino M. Gantz, Jason L. Rasgon, Sujit Pujhari, Duverney Chaverra‐Rodriguez, Grant L. Hughes, Johanna R. Ohm and Yasutsugu Suzuki. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.
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.