Dan Peer

186 papers receiving 21.2k citations

Dan Peer's Hit Papers

Ionizable Lipids with Optimized Linkers Enable Lung-Specific, Lipid Nanoparticle-Mediated mRNA Delivery for Treatment of Metastatic Lung Tumors 2025 · 42 citations
420+6+12Years since publication2.5k5k7.5k

Peers

Dan Peer
Comparison fields: 5 of 155
  • Biomaterials 9.1k
  • Drug Discovery 74
  • Pharmaceutical Science 1.1k
  • Molecular Biology 6.6k
  • Molecular Medicine 580
Replace Jinjun Shi with:
Jinjun Shi United States
Michael J. Mitchell United States
Sangyong Jon South Korea
Huile Gao China
Seyed Moein Moghimi United Kingdom
Qiang Zhang China
Horacio Cabral Japan
Jinming Gao United States
Wei Tao China
Theresa M. Allen Canada
Dan Peer relative to Jinjun Shi United States Jinjun Shi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Dan Peer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Dan Peer Line = papers co-authored together Dan Peer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 191 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Nanocarriers as an emerging platform for cancer therapy
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20077700
2
Progress and challenges towards targeted delivery of cancer therapeutics
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20181854
3
CRISPR-Cas9 genome editing using targeted lipid nanoparticles for cancer therapy
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2020495
4 2010470
5 2008443
6 2012427
7 2011371
8
Cytosolic delivery of nucleic acids: The case of ionizable lipid nanoparticles
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2021308
9
Targeting cancer with mRNA–lipid nanoparticles: key considerations and future prospects
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2023296
10 2018285
11 2018274
12 2007238
13 2011227
14 2021227
15 2020214
16 2003210
17 2019197
18 2020192
19 2019191
20 2004187

About Dan Peer

Dan Peer is a scholar working on Biomaterials, Molecular Biology, Oncology, Pharmaceutical Science and Immunology, having authored 191 papers that have together received 21.8k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (92 papers), Nanoparticle-Based Drug Delivery (53 papers), Drug Transport and Resistance Mechanisms (9 papers), Advanced Drug Delivery Systems (5 papers), Nanoplatforms for cancer theranostics (5 papers), Immunotherapy and Immune Responses (5 papers), Tissue Engineering and Regenerative Medicine (4 papers) and Nanotechnology research and applications (4 papers). The work is most often cited by research in Biomaterials (9.1k citations), Drug Discovery (74 citations), Pharmaceutical Science (1.1k citations), Molecular Biology (6.6k citations) and Molecular Medicine (580 citations). Dan Peer has collaborated with scholars based in Israel, United States and Denmark. Frequent co-authors include Jeffrey M. Karp, Rimona Margalit, Róbert Langer, Seungpyo Hong, Omid Cameron Farokhzad, Daniel Rosenblum, Wei Tao, Nitin Joshi, Srinivas Ramishetti and Meir Goldsmith. Their work appears in journals such as Journal of Controlled Release, ACS Nano, Cancer Letters, Advanced Drug Delivery Reviews and Nature Nanotechnology.

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.

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