George E. Katibah
- Molecular Biology top 2%
- Immunology top 1%
- Genetics top 5%
- Dermatology top 0.5%
- Oncology top 5%
- Co-authors
- Jeffrey C. MillerEdward J. RebarSarah M. McWhirterFyodor D. UrnovPhilip D. GregoryThomas W. DubenskyEdward E. LemmensJustin J. Leong
- Topics
- interferon and immune responses (4 papers)CRISPR and Genetic Engineering (4 papers)RNA Interference and Gene Delivery (3 papers)
- Partner nations
- United StatesSwitzerlandFrance
In The Last Decade
George E. Katibah
11 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Molecular Biology 2.5k
- Immunology 1.5k
- Genetics 625
- Dermatology 561
- Oncology 519
Countries citing papers authored by George E. Katibah
This map shows the geographic impact of George E. Katibah'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 George E. Katibah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George E. Katibah more than expected).
Fields of papers citing papers by George E. Katibah
This network shows the impact of papers produced by George E. Katibah. 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 George E. Katibah. The network helps show where George E. Katibah may publish in the future.
Co-authorship network of co-authors of George E. Katibah
This figure shows the co-authorship network connecting the top 25 collaborators of George E. Katibah. A scholar is included among the top collaborators of George E. Katibah 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 George E. Katibah. George E. Katibah 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 | 264 | |
| 3 | 70 | |
| 4 | Direct Activation of STING in the Tumor Microenvironment Leads to Potent and Systemic Tumor Regression and Immunitybreakdown → | 1146 |
| 5 | 66 | |
| 6 | The Epithelial Cell-Derived Atopic Dermatitis Cytokine TSLP Activates Neurons to Induce Itchbreakdown → | 729 |
| 7 | 111 | |
| 8 | 65 | |
| 9 | 406 | |
| 10 | Efficient targeting of expressed and silent genes in human ESCs and iPSCs using zinc-finger nucleasesbreakdown → | 810 |
| 11 | Heritable targeted gene disruption in zebrafish using designed zinc-finger nucleasesbreakdown → | 681 |
About George E. Katibah
George E. Katibah is a scholar working on Immunology, Sensory Systems and Molecular Biology, having authored 11 papers that have together received 4.3k indexed citations. Recurring topics across this work include interferon and immune responses (4 papers), CRISPR and Genetic Engineering (4 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Immunology (1.5k citations), Dermatology (561 citations) and Immunology and Allergy (315 citations). George E. Katibah has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include Jeffrey C. Miller, Edward J. Rebar, Sarah M. McWhirter, Fyodor D. Urnov, Philip D. Gregory, Thomas W. Dubensky, Edward E. Lemmens, Justin J. Leong, Leticia Corrales and Ken Metchette. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.