Dan Peer

23.9k total citations · 8 hit papers
155 papers, 18.6k citations indexed

About

Dan Peer is a scholar working on Molecular Biology, Biomaterials and Immunology. According to data from OpenAlex, Dan Peer has authored 155 papers receiving a total of 18.6k indexed citations (citations by other indexed papers that have themselves been cited), including 112 papers in Molecular Biology, 34 papers in Biomaterials and 33 papers in Immunology. Recurrent topics in Dan Peer's work include RNA Interference and Gene Delivery (82 papers), Advanced biosensing and bioanalysis techniques (51 papers) and Nanoparticle-Based Drug Delivery (31 papers). Dan Peer is often cited by papers focused on RNA Interference and Gene Delivery (82 papers), Advanced biosensing and bioanalysis techniques (51 papers) and Nanoparticle-Based Drug Delivery (31 papers). Dan Peer collaborates with scholars based in Israel, United States and Germany. Dan Peer's 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 and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Dan Peer

154 papers receiving 18.3k citations

Hit Papers

Nanocarriers as an emerging platform for cancer therapy 2007 2026 2013 2019 2007 2018 2020 2021 2023 2.0k 4.0k 6.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Nanocarriers as an emerging platform for cancer therapy
    2007 7.0k citations Dan Peer, Rimona Margalit et al. Nature Nanotechnology profile →
  2. Progress and challenges towards targeted delivery of cancer therapeutics
    2018 1.7k citations Daniel Rosenblum, Dan Peer et al. profile →
  3. CRISPR-Cas9 genome editing using targeted lipid nanoparticles for cancer therapy
    2020 430 citations Daniel Rosenblum, Anna Gutkin et al. Science Advances profile →
  4. Cytosolic delivery of nucleic acids: The case of ionizable lipid nanoparticles
    2021 255 citations Michele Schlich, Roberto Palomba et al. Bioengineering & Translational Medicine profile →
  5. Targeting cancer with mRNA–lipid nanoparticles: key considerations and future prospects
    2023 215 citations Inbal Hazan‐Halevy, Lior Stotsky‐Oterin et al. profile →
  6. Principles for designing an optimal mRNA lipid nanoparticle vaccine
    2021 196 citations Uri Elia, Dan Peer et al. profile →
  7. The immunostimulatory nature of mRNA lipid nanoparticles
    2024 65 citations Dan Peer et al. profile →
  8. Ionizable Lipids with Optimized Linkers Enable Lung-Specific, Lipid Nanoparticle-Mediated mRNA Delivery for Treatment of Metastatic Lung Tumors
    2025 21 citations Gonna Somu Naidu, Riccardo Rampado et al. ACS Nano profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dan Peer Israel 57 9.7k 7.5k 6.7k 2.5k 2.0k 155 18.6k
Jinjun Shi United States 66 8.4k 0.9× 6.9k 0.9× 9.3k 1.4× 4.7k 1.9× 2.3k 1.2× 138 20.2k
Qiang Zhang China 76 9.4k 1.0× 7.5k 1.0× 6.1k 0.9× 2.0k 0.8× 1.6k 0.8× 402 19.2k
S. Moein Moghimi United Kingdom 68 8.4k 0.9× 8.7k 1.2× 5.5k 0.8× 2.6k 1.1× 2.5k 1.2× 217 19.0k
Mansoor M. Amiji United States 86 10.1k 1.0× 9.2k 1.2× 6.1k 0.9× 2.3k 0.9× 2.0k 1.0× 334 24.0k
Michael J. Mitchell United States 52 8.2k 0.8× 3.8k 0.5× 5.5k 0.8× 1.5k 0.6× 3.4k 1.7× 164 16.8k
Twan Lammers Germany 85 7.3k 0.8× 10.5k 1.4× 12.1k 1.8× 4.1k 1.6× 2.2k 1.1× 332 24.8k
Jinming Gao United States 68 6.3k 0.7× 6.9k 0.9× 7.0k 1.0× 3.1k 1.3× 1.8k 0.9× 173 17.8k
Guangjun Nie China 87 10.8k 1.1× 5.7k 0.8× 10.2k 1.5× 5.1k 2.1× 3.4k 1.7× 355 24.6k
Vladimir P. Torchilin United States 72 9.9k 1.0× 11.9k 1.6× 7.9k 1.2× 2.7k 1.1× 997 0.5× 257 21.9k
Weiwei Gao United States 75 8.2k 0.8× 5.7k 0.8× 11.4k 1.7× 2.4k 1.0× 3.2k 1.6× 215 20.4k

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-authorship network of co-authors of Dan Peer

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Peer. A scholar is included among the top collaborators of Dan Peer 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 Dan Peer. Dan Peer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Elia, Uri, Yinon Levy, Hagai Cohen, et al.. (2025). Novel Bivalent mRNA‐LNP Vaccine for Highly Effective Protection against Pneumonic Plague. Advanced Science. 12(26). e2501286–e2501286. 3 indexed citations
2.
Verbeke, Rein, Fabien Théry, Patrick J. Willems, et al.. (2025). Challenges and opportunities in mRNA vaccine development against bacteria. Nature Microbiology. 10(8). 1816–1828. 1 indexed citations
3.
Naidu, Gonna Somu, et al.. (2025). On The Retrograde Transport of RNA-Loaded Lipid Nanoparticles Designed for Brain Delivery. PubMed. 5(5). 375–387. 1 indexed citations
4.
5.
Veiga, Nuphar, Yael Diesendruck, & Dan Peer. (2023). Targeted nanomedicine: Lessons learned and future directions. Journal of Controlled Release. 355. 446–457. 37 indexed citations
6.
Naidu, Gonna Somu, Seok‐Beom Yong, Srinivas Ramishetti, et al.. (2023). A Combinatorial Library of Lipid Nanoparticles for Cell Type‐Specific mRNA Delivery. Advanced Science. 10(19). e2301929–e2301929. 73 indexed citations
7.
Deprez, Joke, Rein Verbeke, Heleen Dewitte, et al.. (2023). Transport by circulating myeloid cells drives liposomal accumulation in inflamed synovium. Nature Nanotechnology. 18(11). 1341–1350. 20 indexed citations
8.
Hazan‐Halevy, Inbal, Meir Goldsmith, Lior Stotsky‐Oterin, et al.. (2023). Delivery of Therapeutic RNA to the Bone Marrow in Multiple Myeloma Using CD38‐Targeted Lipid Nanoparticles. Advanced Science. 10(21). e2301377–e2301377. 35 indexed citations
9.
Poley, Maria, Patricia Mora‐Raimundo, Maya Kaduri, et al.. (2022). Nanoparticles Accumulate in the Female Reproductive System during Ovulation Affecting Cancer Treatment and Fertility. ACS Nano. 16(4). 5246–5257. 23 indexed citations
10.
Lahav, Meir, et al.. (2022). Identification of Cancer Cells in the Human Body by Anti-Telomerase Peptide Antibody: Towards the Isolation of Circulating Tumor Cells. International Journal of Molecular Sciences. 23(21). 12872–12872. 1 indexed citations
11.
Schlich, Michele, Roberto Palomba, Gabriella Costabile, et al.. (2021). Cytosolic delivery of nucleic acids: The case of ionizable lipid nanoparticles. Bioengineering & Translational Medicine. 6(2). e10213–e10213. 255 indexed citations breakdown →
12.
Elia, Uri, Srinivas Ramishetti, Ronit Rosenfeld, et al.. (2021). Design of SARS-CoV-2 hFc-Conjugated Receptor-Binding Domain mRNA Vaccine Delivered via Lipid Nanoparticles. ACS Nano. 15(6). 9627–9637. 84 indexed citations
13.
Rosenblum, Daniel, Anna Gutkin, Ranit Kedmi, et al.. (2020). CRISPR-Cas9 genome editing using targeted lipid nanoparticles for cancer therapy. Science Advances. 6(47). 430 indexed citations breakdown →
14.
Decuzzi, Paolo, Dan Peer, Daniele Di Mascolo, et al.. (2020). Roadmap on nanomedicine. Nanotechnology. 32(1). 12001–12001. 21 indexed citations
15.
Deng, Jian, et al.. (2018). Hierarchical theranostic nanomedicine: MRI contrast agents as a physical vehicle anchor for high drug loading and triggered on-demand delivery. Journal of Materials Chemistry B. 6(13). 1995–2003. 12 indexed citations
16.
Ramishetti, Srinivas, Ranit Kedmi, Meir Goldsmith, et al.. (2015). Systemic Gene Silencing in Primary T Lymphocytes Using Targeted Lipid Nanoparticles. ACS Nano. 9(7). 6706–6716. 160 indexed citations
17.
Bogart, Lara K., G. Pourroy, Catherine J. Murphy, et al.. (2014). Nanoparticles for Imaging, Sensing, and Therapeutic Intervention. ACS Nano. 8(4). 3107–3122. 231 indexed citations
18.
Dearling, Jason L.J., Eun Jeong Park, Patricia Dunning, et al.. (2010). Detection of intestinal inflammation by MicroPET imaging using a 64Cu-labeled anti-β7 integrin antibody. Inflammatory Bowel Diseases. 16(9). 1458–1466. 21 indexed citations
19.
20.
Peer, Dan, Eun Jeong Park, Yoshiyuki Morishita, Christopher V. Carman, & Motomu Shimaoka. (2008). Systemic Leukocyte-Directed siRNA Delivery Revealing Cyclin D1 as an Anti-Inflammatory Target. Science. 319(5863). 627–630. 399 indexed citations

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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