Lukas Farbiak

4.2k total citations · 5 hit papers
18 papers, 3.2k citations indexed

About

Lukas Farbiak is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Lukas Farbiak has authored 18 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 7 papers in Genetics and 4 papers in Infectious Diseases. Recurrent topics in Lukas Farbiak's work include RNA Interference and Gene Delivery (16 papers), Virus-based gene therapy research (7 papers) and CRISPR and Genetic Engineering (5 papers). Lukas Farbiak is often cited by papers focused on RNA Interference and Gene Delivery (16 papers), Virus-based gene therapy research (7 papers) and CRISPR and Genetic Engineering (5 papers). Lukas Farbiak collaborates with scholars based in United States. Lukas Farbiak's co-authors include Daniel J. Siegwart, Tuo Wei, Lindsay T. Johnson, Qiang Cheng, Sean A. Dilliard, Xueliang Yu, Shuai Liu, Jae‐Yeol Joo, Gokhul Kilaru and Katie Schaukowitch and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Nature Communications.

In The Last Decade

Lukas Farbiak

16 papers receiving 3.2k citations

Hit Papers

Selective organ targeting (SORT) nanoparticles for tissue... 2020 2026 2022 2024 2020 2021 2022 2023 2025 500 1000 1.5k
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. Selective organ targeting (SORT) nanoparticles for tissue-specific mRNA delivery and CRISPR–Cas gene editing
    2020 1.6k citations Qiang Cheng, Tuo Wei et al. Nature Nanotechnology profile →
  2. Membrane-destabilizing ionizable phospholipids for organ-selective mRNA delivery and CRISPR–Cas gene editing
    2021 483 citations Shuai Liu, Qiang Cheng et al. Nature Materials profile →
  3. Enhancing CRISPR/Cas gene editing through modulating cellular mechanical properties for cancer therapy
    2022 183 citations Di Zhang, Xueliang Yu et al. Nature Nanotechnology profile →
  4. The interplay of quaternary ammonium lipid structure and protein corona on lung-specific mRNA delivery by selective organ targeting (SORT) nanoparticles
    2023 85 citations Sean A. Dilliard, Yehui Sun et al. Journal of Controlled Release profile →
  5. High-density brush-shaped polymer lipids reduce anti-PEG antibody binding for repeated administration of mRNA therapeutics
    2025 21 citations Yufen Xiao, Xizhen Lian et al. Nature Materials profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lukas Farbiak United States 14 2.7k 540 443 373 348 18 3.2k
Paulo J.C. Lin United States 28 2.4k 0.9× 320 0.6× 571 1.3× 396 1.1× 332 1.0× 46 3.4k
Satoshi Uchida Japan 38 2.5k 0.9× 588 1.1× 293 0.7× 596 1.6× 801 2.3× 111 3.6k
Tatiana Ketova United States 14 2.1k 0.8× 291 0.5× 469 1.1× 206 0.6× 123 0.4× 21 2.6k
Priti Kumar United States 26 2.5k 0.9× 449 0.8× 648 1.5× 220 0.6× 284 0.8× 73 3.6k
Ismail M. Hafez Canada 16 2.5k 0.9× 270 0.5× 358 0.8× 412 1.1× 407 1.2× 22 3.1k
R. M. Roman United States 6 3.7k 1.4× 1.4k 2.6× 456 1.0× 269 0.7× 253 0.7× 8 4.5k
Antonin de Fougerolles United States 13 2.5k 0.9× 356 0.7× 838 1.9× 200 0.5× 229 0.7× 20 3.4k
Clare E. Thomas United Kingdom 13 2.5k 0.9× 1.8k 3.3× 295 0.7× 274 0.7× 164 0.5× 18 3.2k
Kevin T. Love United States 17 3.0k 1.1× 340 0.6× 305 0.7× 636 1.7× 527 1.5× 17 3.5k
Ronald K. Scheule United States 38 2.4k 0.9× 1.2k 2.3× 518 1.2× 195 0.5× 113 0.3× 100 4.0k

Countries citing papers authored by Lukas Farbiak

Since Specialization
Citations

This map shows the geographic impact of Lukas Farbiak'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 Lukas Farbiak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lukas Farbiak more than expected).

Fields of papers citing papers by Lukas Farbiak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lukas Farbiak. 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 Lukas Farbiak. The network helps show where Lukas Farbiak may publish in the future.

Co-authorship network of co-authors of Lukas Farbiak

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

All Works

18 of 18 papers shown
1.
2.
Xiao, Yufen, Xizhen Lian, Yehui Sun, et al.. (2025). High-density brush-shaped polymer lipids reduce anti-PEG antibody binding for repeated administration of mRNA therapeutics. Nature Materials. 24(11). 1840–1851. 21 indexed citations breakdown →
3.
Robinson, Joshua, Di Zhang, Pratima Basak, et al.. (2025). Reducing Complexity in Lipid Nanoparticles: Three-Component Zwitterionic Amino Lipids for Targeted Extrahepatic mRNA Delivery. ACS Biomaterials Science & Engineering. 11(8). 4853–4868.
4.
Kim, Jong Seung, Sumanta Chatterjee, Alan Robertson, et al.. (2025). Mannose-Conjugated Cholesterol Containing Lipid Nanoparticles for Active Targeted mRNA Delivery to Liver Sinusoidal Endothelial and Kupffer Cells. Bioconjugate Chemistry. 36(10). 2181–2196. 1 indexed citations
5.
Vaidya, Amogh, Stephen D. Moore, Sumanta Chatterjee, et al.. (2024). Expanding RNAi to Kidneys, Lungs, and Spleen via Selective ORgan Targeting (SORT) siRNA Lipid Nanoparticles. Advanced Materials. 36(35). e2313791–e2313791. 34 indexed citations
6.
Dilliard, Sean A., Yehui Sun, Yun‐Chieh Sung, et al.. (2023). The interplay of quaternary ammonium lipid structure and protein corona on lung-specific mRNA delivery by selective organ targeting (SORT) nanoparticles. Journal of Controlled Release. 361. 361–372. 85 indexed citations breakdown →
7.
Cheng, Qiang, Lukas Farbiak, Amogh Vaidya, et al.. (2023). In situ production and secretion of proteins endow therapeutic benefit against psoriasiform dermatitis and melanoma. Proceedings of the National Academy of Sciences. 120(52). e2313009120–e2313009120. 11 indexed citations
8.
Zhang, Di, Xueliang Yu, Tuo Wei, et al.. (2022). Enhancing CRISPR/Cas gene editing through modulating cellular mechanical properties for cancer therapy. Nature Nanotechnology. 17(7). 777–787. 183 indexed citations breakdown →
9.
Johnson, Lindsay T., Di Zhang, Ke‐Jin Zhou, et al.. (2022). Lipid Nanoparticle (LNP) Chemistry Can Endow Unique In Vivo RNA Delivery Fates within the Liver That Alter Therapeutic Outcomes in a Cancer Model. Molecular Pharmaceutics. 19(11). 3973–3986. 44 indexed citations
10.
Liu, Shuai, Qiang Cheng, Tuo Wei, et al.. (2021). Membrane-destabilizing ionizable phospholipids for organ-selective mRNA delivery and CRISPR–Cas gene editing. Nature Materials. 20(5). 701–710. 483 indexed citations breakdown →
11.
Farbiak, Lukas, Qiang Cheng, Tuo Wei, et al.. (2021). All‐In‐One Dendrimer‐Based Lipid Nanoparticles Enable Precise HDR‐Mediated Gene Editing In Vivo. Advanced Materials. 33(30). e2006619–e2006619. 73 indexed citations
12.
Álvarez‐Benedicto, Ester, Lukas Farbiak, Xu Wang, et al.. (2021). Optimization of phospholipid chemistry for improved lipid nanoparticle (LNP) delivery of messenger RNA (mRNA). Biomaterials Science. 10(2). 549–559. 155 indexed citations
13.
Melamed, Jilian R., Khalid A. Hajj, Namit Chaudhary, et al.. (2021). Lipid nanoparticle chemistry determines how nucleoside base modifications alter mRNA delivery. Journal of Controlled Release. 341. 206–214. 66 indexed citations
14.
Yu, Xueliang, Shuai Liu, Qiang Cheng, et al.. (2021). Hydrophobic Optimization of Functional Poly(TPAE-co-suberoyl chloride) for Extrahepatic mRNA Delivery following Intravenous Administration. Pharmaceutics. 13(11). 1914–1914. 16 indexed citations
15.
Cheng, Qiang, Tuo Wei, Lukas Farbiak, et al.. (2020). Selective organ targeting (SORT) nanoparticles for tissue-specific mRNA delivery and CRISPR–Cas gene editing. Nature Nanotechnology. 15(4). 313–320. 1561 indexed citations breakdown →
16.
Wei, Tuo, Qiang Cheng, Lukas Farbiak, et al.. (2020). Delivery of Tissue-Targeted Scalpels: Opportunities and Challenges for In Vivo CRISPR/Cas-Based Genome Editing. ACS Nano. 14(8). 9243–9262. 98 indexed citations
17.
Cheng, Qiang, Tuo Wei, Yuemeng Jia, et al.. (2018). Dendrimer‐Based Lipid Nanoparticles Deliver Therapeutic FAH mRNA to Normalize Liver Function and Extend Survival in a Mouse Model of Hepatorenal Tyrosinemia Type I. Advanced Materials. 30(52). e1805308–e1805308. 181 indexed citations
18.
Joo, Jae‐Yeol, Katie Schaukowitch, Lukas Farbiak, Gokhul Kilaru, & Tae-Kyung Kim. (2015). Stimulus-specific combinatorial functionality of neuronal c-fos enhancers. Nature Neuroscience. 19(1). 75–83. 184 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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