Ophir Shalem
- Molecular Biology top 0.2%
- Genetics top 0.5%
- Oncology top 2%
- Plant Science top 2%
- Immunology top 5%
- Co-authors
- Feng ZhangNeville E. SanjanaDavid ScottXuebing WuF. Ann RanXi ShiTarjei S. MikkelsenDirk Heckl
- Topics
- CRISPR and Genetic Engineering (20 papers)RNA and protein synthesis mechanisms (13 papers)Advanced biosensing and bioanalysis techniques (7 papers)
- Partner nations
- United StatesIsraelJapan
In The Last Decade
Ophir Shalem
39 papers receiving 12.9k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Molecular Biology 11.6k
- Genetics 2.3k
- Oncology 1.1k
- Plant Science 935
- Immunology 830
Countries citing papers authored by Ophir Shalem
This map shows the geographic impact of Ophir Shalem'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 Ophir Shalem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ophir Shalem more than expected).
Fields of papers citing papers by Ophir Shalem
This network shows the impact of papers produced by Ophir Shalem. 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 Ophir Shalem. The network helps show where Ophir Shalem may publish in the future.
Co-authorship network of co-authors of Ophir Shalem
This figure shows the co-authorship network connecting the top 25 collaborators of Ophir Shalem. A scholar is included among the top collaborators of Ophir Shalem 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 Ophir Shalem. Ophir Shalem is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 8 | |
| 4 | 5 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 12 | |
| 8 | 7 | |
| 9 | 23 | |
| 10 | 77 | |
| 11 | Transcription control by the ENL YEATS domain in acute leukaemia | 1 |
| 12 | 0 | |
| 13 | Hypoxia as a therapy for mitochondrial disease | 1 |
| 14 | BCL11A enhancer dissection by Cas9-mediated in situ saturating mutagenesis | 2 |
| 15 | High-throughput functional genomics using CRISPR–Cas9 | 26 |
| 16 | High-throughput functional genomics using CRISPR–Cas9breakdown → | 871 |
| 17 | Genome-wide CRISPR Screen in a Mouse Model of Tumor Growth and Metastasisbreakdown → | 633 |
| 18 | Genome-Scale CRISPR-Cas9 Knockout Screening in Human Cellsbreakdown → | 3656 |
| 19 | DNA targeting specificity of RNA-guided Cas9 nucleasesbreakdown → | 3441 |
| 20 | 70 |
About Ophir Shalem
Ophir Shalem is a scholar working on Aging, Molecular Biology and Cellular and Molecular Neuroscience, having authored 42 papers that have together received 13.1k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (20 papers), RNA and protein synthesis mechanisms (13 papers) and Advanced biosensing and bioanalysis techniques (7 papers). The work is most often cited by research in Aging (815 citations), Business and International Management (822 citations) and Molecular Biology (11.6k citations). Ophir Shalem has collaborated with scholars based in United States, Israel and Japan. Frequent co-authors include Feng Zhang, Neville E. Sanjana, David Scott, Xuebing Wu, F. Ann Ran, Xi Shi, Tarjei S. Mikkelsen, Dirk Heckl, David E. Root and John G. Doench. Their work appears in journals such as Nature, Science and Cell.
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.