Ranit Kedmi
Impact in
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Molecular Biology top 5%
- RNA Interference and Gene Delivery
- Advanced biosensing and bioanalysis techniques
- CRISPR and Genetic Engineering
Papers in
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- Immunotherapy and Immune Responses 3
- Immune Cell Function and Interaction 3
- T-cell and B-cell Immunology 2
- IL-33, ST2, and ILC Pathways 2
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- RNA Interference and Gene Delivery 7
- Advanced biosensing and bioanalysis techniques 3
- CRISPR and Genetic Engineering 2
- Co-authors
- Dan Peer (9 shared papers)Srinivas Ramishetti (4 shared papers)Nuphar Veiga (3 shared papers)Daniel M. Rosenblum (3 shared papers)Meir Goldsmith (3 shared papers)Mark A. Behlke (3 shared papers)Judy Lieberman (2 shared papers)Niels Dammes (2 shared papers)
- Journals
- Nature (2 papers)Cell Reports (2 papers)Nature Nanotechnology (1 paper)Nature Communications (1 paper)ACS Nano (1 paper)
- Partner nations
- IsraelUnited StatesCanada
In The Last Decade
Ranit Kedmi
15 papers receiving 2.0k citations
Ranit Kedmi's Hit Papers
Peers
Comparison fields: 5 of 92
- Immunology 479
- Molecular Biology 1.5k
- Biomaterials 253
- Genetics 329
- Pharmaceutical Science 64
Countries citing papers authored by Ranit Kedmi
This map shows the geographic impact of Ranit Kedmi'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 Ranit Kedmi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ranit Kedmi more than expected).
Fields of papers citing papers by Ranit Kedmi
This network shows the impact of papers produced by Ranit Kedmi. 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 Ranit Kedmi. The network helps show where Ranit Kedmi may publish in the future.
Co-authors
The 25 scholars most cited alongside Ranit Kedmi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | CRISPR-Cas9 genome editing using targeted lipid nanoparticles for cancer therapy Hit paper breakdown → | 2020 | 489 |
| 2 | 2010 | 465 | |
| 3 | 2018 | 284 | |
| 4 | 2018 | 275 | |
| 5 | 2022 | 203 | |
| 6 | 2015 | 184 | |
| 7 | 2024 | 42 | |
| 8 | 2021 | 34 | |
| 9 | 2013 | 18 | |
| 10 | 2025 | 17 | |
| 11 | 2013 | 10 | |
| 12 | 2011 | 9 | |
| 13 | 2009 | 9 | |
| 14 | 2016 | 8 | |
| 15 | 2021 | 3 |
About Ranit Kedmi
Ranit Kedmi is a scholar working on Immunology, Molecular Biology, Immunology and Allergy, Infectious Diseases and Cancer Research, having authored 15 papers that have together received 2.0k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (7 papers), Immunotherapy and Immune Responses (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Immune Cell Function and Interaction (3 papers), CRISPR and Genetic Engineering (2 papers), Cell Adhesion Molecules Research (2 papers), T-cell and B-cell Immunology (2 papers) and IL-33, ST2, and ILC Pathways (2 papers). The work is most often cited by research in Immunology (479 citations), Molecular Biology (1.5k citations), Biomaterials (253 citations), Genetics (329 citations) and Pharmaceutical Science (64 citations). Ranit Kedmi has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Dan Peer, Srinivas Ramishetti, Nuphar Veiga, Daniel M. Rosenblum, Meir Goldsmith, Mark A. Behlke, Judy Lieberman, Niels Dammes, Zvi R. Cohen and Mollie S. Schubert. Their work appears in journals such as Nature, Cell Reports, Nature Nanotechnology, Nature Communications and ACS Nano.
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.