Jonas Weinmann

571 total citations
8 papers, 273 citations indexed

About

Jonas Weinmann is a scholar working on Molecular Biology, Genetics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jonas Weinmann has authored 8 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Genetics and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Jonas Weinmann's work include Virus-based gene therapy research (6 papers), CRISPR and Genetic Engineering (5 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). Jonas Weinmann is often cited by papers focused on Virus-based gene therapy research (6 papers), CRISPR and Genetic Engineering (5 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). Jonas Weinmann collaborates with scholars based in Germany, United States and Belgium. Jonas Weinmann's co-authors include Dirk Grimm, Jihad El Andari, Warut Tulalamba, Marinee Chuah, Thorsten Lamla, Thierry VandenDriessche, Martin Lenter, Norbert Frey, Oliver J. Müller and Susanne Hille and has published in prestigious journals such as Nature Communications, Molecular Therapy and Gene Therapy.

In The Last Decade

Jonas Weinmann

8 papers receiving 271 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonas Weinmann Germany 5 207 166 55 28 21 8 273
Simon Ye United States 3 274 1.3× 178 1.1× 61 1.1× 17 0.6× 24 1.1× 4 333
Adrian Westhaus Australia 8 190 0.9× 178 1.1× 30 0.5× 31 1.1× 20 1.0× 15 276
Jalish M. Riyad United States 7 225 1.1× 158 1.0× 65 1.2× 19 0.7× 13 0.6× 7 299
Katherine E. Simon United States 7 199 1.0× 161 1.0× 44 0.8× 22 0.8× 40 1.9× 10 295
Matthieu Drouyer Australia 9 210 1.0× 155 0.9× 24 0.4× 34 1.2× 15 0.7× 15 322
Garth Devlin United States 7 178 0.9× 124 0.7× 39 0.7× 11 0.4× 11 0.5× 12 250
Daniel K. Oh United States 9 264 1.3× 217 1.3× 54 1.0× 34 1.2× 61 2.9× 10 359
Carmen Unzu Spain 14 365 1.8× 196 1.2× 23 0.4× 27 1.0× 59 2.8× 24 475
Axel Rossi Germany 8 246 1.2× 204 1.2× 44 0.8× 20 0.7× 34 1.6× 13 307
Kalyani Nambiar United States 5 115 0.6× 129 0.8× 13 0.2× 20 0.7× 21 1.0× 6 213

Countries citing papers authored by Jonas Weinmann

Since Specialization
Citations

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

Fields of papers citing papers by Jonas Weinmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonas Weinmann

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

All Works

8 of 8 papers shown
1.
Domenger, Claire, Jae-Jun Kim, Jonas Weinmann, et al.. (2025). Identification of a robust promoter in mouse and human hepatocytes by in vivo biopanning of a barcoded AAV library. Molecular Therapy. 33(8). 3881–3901. 2 indexed citations
2.
Weinmann, Jonas, Gudrun Zimmermann, Christine Mayer, et al.. (2022). Identification of Broadly Applicable Adeno-Associated Virus Vectors by Systematic Comparison of Commonly Used Capsid Variants In Vitro. Human Gene Therapy. 33(21-22). 1197–1212. 3 indexed citations
3.
Fischer, Sandra E., Benjamin Strobel, Jonas Weinmann, & Frank Gillardon. (2021). Two engineered AAV capsid variants for efficient transduction of human cortical neurons directly converted from iPSC. Journal of Neuroscience Methods. 368. 109457–109457. 1 indexed citations
4.
Kremer, Lukas P. M., Santiago Cerrizuela, Thomas Stiehl, et al.. (2021). High throughput screening of novel AAV capsids identifies variants for transduction of adult NSCs within the subventricular zone. Molecular Therapy — Methods & Clinical Development. 23. 33–50. 21 indexed citations
5.
Weinmann, Jonas, Warut Tulalamba, Anca Remes, et al.. (2020). Identification of a myotropic AAV by massively parallel in vivo evaluation of barcoded capsid variants. Nature Communications. 11(1). 5432–5432. 168 indexed citations
6.
Tulalamba, Warut, Jonas Weinmann, Jihad El Andari, et al.. (2019). Distinct transduction of muscle tissue in mice after systemic delivery of AAVpo1 vectors. Gene Therapy. 27(3-4). 170–179. 8 indexed citations
7.
Wolff, Gretchen, Jonas Weinmann, Tjeerd Sijmonsma, et al.. (2018). Diet-dependent function of the extracellular matrix proteoglycan Lumican in obesity and glucose homeostasis. Molecular Metabolism. 19. 97–106. 32 indexed citations
8.
Weinmann, Jonas & Dirk Grimm. (2017). Next-generation AAV vectors for clinical use: an ever-accelerating race. Virus Genes. 53(5). 707–713. 38 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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