Dan Peer
- Biomaterials top 0.02%
- Nanoparticle-Based Drug Delivery 31
- Pharmaceutical Science top 0.2%
- Biomedical Engineering top 0.1%
- Molecular Biology top 0.5%
- RNA Interference and Gene Delivery 82
- Advanced biosensing and bioanalysis techniques 51
- Lipid Membrane Structure and Behavior 10
- CRISPR and Genetic Engineering 8
- Immunology top 1%
- Immunotherapy and Immune Responses 27
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- MicroRNA in disease regulation 16
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- Cell Adhesion Molecules Research 9
- Co-authors
- Jeffrey M. KarpRimona MargalitRóbert LangerOmid C. FarokhzadSeungpyo HongDaniel RosenblumWei TaoNitin Joshi
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Dan Peer
154 papers receiving 18.3k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Biomaterials 7.5k
- Pharmaceutical Science 989
- Biomedical Engineering 6.7k
- Molecular Biology 9.7k
- Immunology 2.0k
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 2 | |
| 5 | The immunostimulatory nature of mRNA lipid nanoparticlesbreakdown → | 2024 | 65 |
| 6 | 2024 | 4 | |
| 7 | 2024 | 11 | |
| 8 | 2023 | 37 | |
| 9 | 2023 | 73 | |
| 10 | 2023 | 61 | |
| 11 | 2022 | 1 | |
| 12 | 2022 | 23 | |
| 13 | Cytosolic delivery of nucleic acids: The case of ionizable lipid nanoparticlesbreakdown → | 2021 | 255 |
| 14 | 2021 | 84 | |
| 15 | CRISPR-Cas9 genome editing using targeted lipid nanoparticles for cancer therapybreakdown → | 2020 | 430 |
| 16 | 2020 | 21 | |
| 17 | 2018 | 12 | |
| 18 | 2014 | 231 | |
| 19 | 2010 | 21 | |
| 20 | 2008 | 399 |
About Dan Peer
Dan Peer is a scholar working on Biomaterials, Molecular Biology and Immunology, having authored 155 papers that have together received 18.6k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (82 papers), Advanced biosensing and bioanalysis techniques (51 papers), Nanoparticle-Based Drug Delivery (31 papers), Immunotherapy and Immune Responses (27 papers), MicroRNA in disease regulation (16 papers), Lipid Membrane Structure and Behavior (10 papers), Cell Adhesion Molecules Research (9 papers) and CRISPR and Genetic Engineering (8 papers). The work is most often cited by research in Biomaterials (7.5k citations), Pharmaceutical Science (989 citations) and Biomedical Engineering (6.7k citations). Dan Peer has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Jeffrey M. Karp, Rimona Margalit, Róbert Langer, Omid C. Farokhzad, Seungpyo Hong, Daniel Rosenblum, Wei Tao, Nitin Joshi, Shoshy Mizrahy and Dalit Landesman‐Milo. Their work appears in journals such as Journal of Controlled Release, ACS Nano, Cancer Letters, Advanced Drug Delivery Reviews and Advanced Science.
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.