Emma W Vaimberg
- Molecular Biology top 2%
- Genetics top 5%
- Oncology top 10%
- Immunology top 10%
- Plant Science top 10%
- Co-authors
- David E. RootJohn G. DoenchMudra HegdeMeagan E. SullenderKatherine DonovanNicolò FusiJennifer ListgartenRobert C. Orchard
- Topics
- CRISPR and Genetic Engineering (4 papers)RNA and protein synthesis mechanisms (3 papers)Gene Regulatory Network Analysis (2 papers)
- Partner nations
- United StatesChina
In The Last Decade
Emma W Vaimberg
6 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Molecular Biology 2.9k
- Genetics 468
- Oncology 395
- Immunology 295
- Plant Science 256
Countries citing papers authored by Emma W Vaimberg
This map shows the geographic impact of Emma W Vaimberg'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 Emma W Vaimberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emma W Vaimberg more than expected).
Fields of papers citing papers by Emma W Vaimberg
This network shows the impact of papers produced by Emma W Vaimberg. 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 Emma W Vaimberg. The network helps show where Emma W Vaimberg may publish in the future.
Co-authorship network of co-authors of Emma W Vaimberg
This figure shows the co-authorship network connecting the top 25 collaborators of Emma W Vaimberg. A scholar is included among the top collaborators of Emma W Vaimberg 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 Emma W Vaimberg. Emma W Vaimberg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 8 | |
| 3 | Optimized libraries for CRISPR-Cas9 genetic screens with multiple modalitiesbreakdown → | 505 |
| 4 | 39 | |
| 5 | 182 | |
| 6 | Optimized sgRNA design to maximize activity and minimize off-target effects of CRISPR-Cas9breakdown → | 2646 |
About Emma W Vaimberg
Emma W Vaimberg is a scholar working on Aging, Safety Research and Molecular Biology, having authored 6 papers that have together received 3.4k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (4 papers), RNA and protein synthesis mechanisms (3 papers) and Gene Regulatory Network Analysis (2 papers). The work is most often cited by research in Aging (169 citations), Business and International Management (133 citations) and Molecular Biology (2.9k citations). Emma W Vaimberg has collaborated with scholars based in United States and China. Frequent co-authors include David E. Root, John G. Doench, Mudra Hegde, Meagan E. Sullender, Katherine Donovan, Nicolò Fusi, Jennifer Listgarten, Robert C. Orchard, Craig B. Wilen and Zuzana Tóthová. Their work appears in journals such as Nature Communications, Nature Biotechnology and PLoS ONE.
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.