Joanna Buchthal
- Molecular Biology top 10%
- Genetics
- Insect Science top 5%
- Plant Science
- Public Health, Environmental and Occupational Health
- Co-authors
- Alejandro ChavezGeorge M. ChurchBenjamin W. PruittRaj ChariEmma J. K. KowalMarcelle TuttleJames J. CollinsDmitry Ter‐Ovanesyan
- Topics
- CRISPR and Genetic Engineering (6 papers)RNA Interference and Gene Delivery (3 papers)Vector-borne infectious diseases (3 papers)
- Journals
- Proceedings of the National Academy of SciencesApplied and Environmental MicrobiologyNature Methods
- Partner nations
- United StatesNetherlands
In The Last Decade
Joanna Buchthal
8 papers receiving 814 citations
Hit Papers
Peers
Comparison fields: 5 of 64
- Molecular Biology 729
- Genetics 164
- Insect Science 109
- Plant Science 83
- Public Health, Environmental and Occupational Health 63
Countries citing papers authored by Joanna Buchthal
This map shows the geographic impact of Joanna Buchthal'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 Joanna Buchthal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joanna Buchthal more than expected).
Fields of papers citing papers by Joanna Buchthal
This network shows the impact of papers produced by Joanna Buchthal. 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 Joanna Buchthal. The network helps show where Joanna Buchthal may publish in the future.
Co-authorship network of co-authors of Joanna Buchthal
This figure shows the co-authorship network connecting the top 25 collaborators of Joanna Buchthal. A scholar is included among the top collaborators of Joanna Buchthal 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 Joanna Buchthal. Joanna Buchthal 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 | 24 | |
| 3 | 39 | |
| 4 | 124 | |
| 5 | 8 | |
| 6 | Daisy-chain gene drives for the alteration of local populations | 1 |
| 7 | Comparison of Cas9 activators in multiple speciesbreakdown → | 381 |
| 8 | Cas9 gRNA engineering for genome editing, activation and repression | 1 |
| 9 | 249 |
About Joanna Buchthal
Joanna Buchthal is a scholar working on Parasitology, Insect Science and Molecular Biology, having authored 9 papers that have together received 827 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (6 papers), RNA Interference and Gene Delivery (3 papers) and Vector-borne infectious diseases (3 papers). The work is most often cited by research in Aging (59 citations), Business and International Management (55 citations) and Molecular Biology (729 citations). Joanna Buchthal has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Alejandro Chavez, George M. Church, Benjamin W. Pruitt, Raj Chari, Emma J. K. Kowal, Marcelle Tuttle, James J. Collins, Dmitry Ter‐Ovanesyan, Ryan J. Cecchi and Ben Ewen‐Campen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Applied and Environmental Microbiology and Nature Methods.
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.