Patrick Baumhof

1.7k total citations · 1 hit paper
14 papers, 1.3k citations indexed

About

Patrick Baumhof is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Patrick Baumhof has authored 14 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Immunology. Recurrent topics in Patrick Baumhof's work include RNA Interference and Gene Delivery (9 papers), Virus-based gene therapy research (4 papers) and Immunotherapy and Immune Responses (3 papers). Patrick Baumhof is often cited by papers focused on RNA Interference and Gene Delivery (9 papers), Virus-based gene therapy research (4 papers) and Immunotherapy and Immune Responses (3 papers). Patrick Baumhof collaborates with scholars based in Germany, United States and New Zealand. Patrick Baumhof's co-authors include Mariola Fotin‐Mleczek, Andreas Theß, Thomas Schlake, Michael J. Hope, Barbara L. Mui, Stefanie Grund, Regina Heidenreich, Benjamin Petsch, Margit Schnee and Thomas Kramps and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nano Letters and Biomaterials.

In The Last Decade

Patrick Baumhof

14 papers receiving 1.3k citations

Hit Papers

Sequence-engineered mRNA Without Chemical Nucleoside Modi... 2015 2026 2018 2022 2015 100 200 300 400
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. Sequence-engineered mRNA Without Chemical Nucleoside Modifications Enables an Effective Protein Therapy in Large Animals
    2015 401 citations Andreas Theß, Stefanie Grund et al. Molecular Therapy profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Patrick Baumhof Germany 11 976 479 447 226 145 14 1.3k
Sunny Himansu United States 11 1.1k 1.1× 397 0.8× 924 2.1× 198 0.9× 281 1.9× 15 1.9k
Kapil Bahl United States 17 767 0.8× 730 1.5× 652 1.5× 200 0.9× 292 2.0× 22 1.6k
Jasdave S. Chahal United States 10 970 1.0× 581 1.2× 320 0.7× 232 1.0× 140 1.0× 12 1.4k
Olga Yuzhakov United States 9 1.2k 1.3× 563 1.2× 794 1.8× 220 1.0× 310 2.1× 10 1.8k
Tam Nguyen United States 12 837 0.9× 278 0.6× 248 0.6× 382 1.7× 344 2.4× 15 1.4k
Frank Liang Sweden 17 502 0.5× 850 1.8× 317 0.7× 135 0.6× 220 1.5× 26 1.4k
Marjorie Robbins Canada 20 1.3k 1.3× 287 0.6× 590 1.3× 187 0.8× 207 1.4× 29 2.1k
Steven Tuyishime United States 7 662 0.7× 247 0.5× 262 0.6× 210 0.9× 68 0.5× 8 923
Stephanie Erbar Germany 13 524 0.5× 246 0.5× 418 0.9× 187 0.8× 238 1.6× 16 919
Brian D. Quinlan United States 12 430 0.4× 290 0.6× 819 1.8× 89 0.4× 107 0.7× 17 1.3k

Countries citing papers authored by Patrick Baumhof

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Baumhof

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrick Baumhof

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

All Works

14 of 14 papers shown
1.
Ru, Eric C. Le, et al.. (2025). Rapid and Accurate Quantification of RNA in Lipid Nanoparticles by Scatter-Free UV/Visible Spectroscopy. Nano Letters. 25(16). 6813–6819. 1 indexed citations
2.
Mendes, Lívia P., et al.. (2024). Poly(2-methyl-2-oxazoline) as a polyethylene glycol alternative for lipid nanoparticle formulation. SHILAP Revista de lepidopterología. 4. 1383038–1383038. 5 indexed citations
3.
Mucker, Eric M., et al.. (2022). Lipid nanoparticle delivery of unmodified mRNAs encoding multiple monoclonal antibodies targeting poxviruses in rabbits. Molecular Therapy — Nucleic Acids. 28. 847–858. 28 indexed citations
4.
Lindsay, Kevin E., Sushma M. Bhosle, Chiara Zurla, et al.. (2019). Visualization of early events in mRNA vaccine delivery in non-human primates via PET–CT and near-infrared imaging. Nature Biomedical Engineering. 3(5). 371–380. 144 indexed citations
5.
Bhosle, Sushma M., Kristin H. Loomis, Jonathan L. Kirschman, et al.. (2018). Unifying in vitro and in vivo IVT mRNA expression discrepancies in skeletal muscle via mechanotransduction. Biomaterials. 159. 189–203. 20 indexed citations
6.
Blanchard, Emmeline L., Kristin H. Loomis, Sushma M. Bhosle, et al.. (2018). Proximity Ligation Assays for In Situ Detection of Innate Immune Activation: Focus on In Vitro-Transcribed mRNA. Molecular Therapy — Nucleic Acids. 14. 52–66. 15 indexed citations
7.
Lutz, Johannes, Sandra Lazzaro, Mohamed Habbeddine, et al.. (2017). Unmodified mRNA in LNPs constitutes a competitive technology for prophylactic vaccines. npj Vaccines. 2(1). 29–29. 205 indexed citations
8.
Kowalczyk, Aleksandra, et al.. (2016). Self-adjuvanted mRNA vaccines induce local innate immune responses that lead to a potent and boostable adaptive immunity. Vaccine. 34(33). 3882–3893. 83 indexed citations
9.
Schnee, Margit, Annette B. Vogel, Daniel Voß, et al.. (2016). An mRNA Vaccine Encoding Rabies Virus Glycoprotein Induces Protection against Lethal Infection in Mice and Correlates of Protection in Adult and Newborn Pigs. PLoS neglected tropical diseases. 10(6). e0004746–e0004746. 162 indexed citations
10.
Theß, Andreas, Stefanie Grund, Barbara L. Mui, et al.. (2015). Sequence-engineered mRNA Without Chemical Nucleoside Modifications Enables an Effective Protein Therapy in Large Animals. Molecular Therapy. 23(9). 1456–1464. 401 indexed citations breakdown →
11.
Theß, Andreas, Stefanie Grund, Barbara L. Mui, et al.. (2015). 135. Sequence-Engineered mRNA Without Chemical Nucleoside Modifications Enables an Effective Protein Therapy in Large Animals. Molecular Therapy. 23. S55–S55. 7 indexed citations
12.
Kallen, Karl‐Josef, Regina Heidenreich, Margit Schnee, et al.. (2013). A novel, disruptive vaccination technology. Human Vaccines & Immunotherapeutics. 9(10). 2263–2276. 184 indexed citations
13.
14.
Thomas, Michael, et al.. (2007). Generation of Stable Coatings with Carboxylic Groups by Copolymerization of MAA and VTMS using DBD at Atmospheric Pressure. Plasma Processes and Polymers. 4(S1). S475–S481. 17 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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