Dan Peer
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
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- RNA Interference and Gene Delivery
- Advanced biosensing and bioanalysis techniques
- Extracellular vesicles in disease
Papers in
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- RNA Interference and Gene Delivery 10
- Advanced biosensing and bioanalysis techniques 5
- Extracellular vesicles in disease 4
- Oncology 6
- CAR-T cell therapy research 3
- Pancreatic and Hepatic Oncology Research 2
- Co-authors
- Riccardo Rampado (1 shared paper)Daniel Rosenblum (4 shared papers)Inbal Hazan‐Halevy (6 shared papers)Srinivas Ramishetti (7 shared papers)Osnat Bairey (1 shared paper)Shiri Weinstein (1 shared paper)Pia Raanani (2 shared papers)Niels Dammes (2 shared papers)
- Journals
- Journal of Controlled Release (5 papers)Cancer Letters (4 papers)ACS Nano (2 papers)Molecular Therapy (1 paper)Advanced Materials (1 paper)
- Partner nations
- IsraelUnited StatesUnited Kingdom
In The Last Decade
Dan Peer
24 papers receiving 816 citations
Peers
Comparison fields: 5 of 105
- Cancer Research 152
- Molecular Biology 553
- Biomaterials 100
- Pharmaceutical Science 39
- Immunology 93
Countries citing papers authored by Dan Peer
This map shows the geographic impact of Dan Peer'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 Dan Peer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Peer more than expected).
Fields of papers citing papers by Dan Peer
This network shows the impact of papers produced by Dan Peer. 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 Dan Peer. The network helps show where Dan Peer may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Peer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 175 | |
| 2 | 2015 | 128 | |
| 3 | 2017 | 115 | |
| 4 | 2023 | 76 | |
| 5 | 2014 | 60 | |
| 6 | 2021 | 59 | |
| 7 | 2019 | 48 | |
| 8 | 2019 | 47 | |
| 9 | 2018 | 26 | |
| 10 | 2014 | 23 | |
| 11 | 2016 | 19 | |
| 12 | 2023 | 16 | |
| 13 | 2013 | 7 | |
| 14 | 2025 | 6 | |
| 15 | 2019 | 5 | |
| 16 | 2020 | 4 | |
| 17 | 2023 | 2 | |
| 18 | 2014 | 2 | |
| 19 | 2025 | 2 | |
| 20 | 2017 | 1 |
About Dan Peer
Dan Peer is a scholar working on Molecular Biology, Oncology, Immunology, Biomedical Engineering and Genetics, having authored 24 papers that have together received 825 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (10 papers), Advanced biosensing and bioanalysis techniques (5 papers), Extracellular vesicles in disease (4 papers), CAR-T cell therapy research (3 papers), Immunotherapy and Immune Responses (3 papers), Cancer Research and Treatments (3 papers), Nanoparticle-Based Drug Delivery (2 papers) and Pancreatic and Hepatic Oncology Research (2 papers). The work is most often cited by research in Cancer Research (152 citations), Molecular Biology (553 citations), Biomaterials (100 citations), Pharmaceutical Science (39 citations) and Immunology (93 citations). Dan Peer has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Riccardo Rampado, Daniel Rosenblum, Inbal Hazan‐Halevy, Srinivas Ramishetti, Osnat Bairey, Shiri Weinstein, Pia Raanani, Niels Dammes, Meir Goldsmith and Edo Kon. Their work appears in journals such as Journal of Controlled Release, Cancer Letters, ACS Nano, Molecular Therapy and Advanced Materials.
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.