Frank Jaschinski

948 total citations
23 papers, 744 citations indexed

About

Frank Jaschinski is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Frank Jaschinski has authored 23 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Immunology and 5 papers in Oncology. Recurrent topics in Frank Jaschinski's work include TGF-β signaling in diseases (4 papers), Immune Cell Function and Interaction (4 papers) and RNA Interference and Gene Delivery (3 papers). Frank Jaschinski is often cited by papers focused on TGF-β signaling in diseases (4 papers), Immune Cell Function and Interaction (4 papers) and RNA Interference and Gene Delivery (3 papers). Frank Jaschinski collaborates with scholars based in Germany, United States and Switzerland. Frank Jaschinski's co-authors include Dirk Pette, Georg Heine, Dejan Škorjanc, Anneliese Schneider, Karl‐Hermann Schlingensiepen, Sven Michel, Richard Klar, Michael Schuler, Heidemarie Peuker and Tanja Rothhammer and has published in prestigious journals such as Nature Communications, The Journal of Immunology and Cancer Research.

In The Last Decade

Frank Jaschinski

23 papers receiving 732 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frank Jaschinski Germany 12 406 202 151 103 101 23 744
Tong Huan Jin China 9 242 0.6× 101 0.5× 102 0.7× 82 0.8× 92 0.9× 15 684
Young‐June Jin Germany 12 370 0.9× 121 0.6× 113 0.7× 145 1.4× 115 1.1× 16 738
Hideaki Tanaka Japan 15 344 0.8× 139 0.7× 94 0.6× 129 1.3× 52 0.5× 39 995
Shiqiao Ye United States 17 615 1.5× 197 1.0× 60 0.4× 93 0.9× 132 1.3× 44 885
Riccardo Chiusaroli United States 17 520 1.3× 244 1.2× 115 0.8× 75 0.7× 152 1.5× 22 898
Noémi Polgár Hungary 17 385 0.9× 63 0.3× 106 0.7× 141 1.4× 70 0.7× 30 751
Jan‐Marcus Daniel Germany 15 609 1.5× 99 0.5× 172 1.1× 58 0.6× 191 1.9× 31 992
Lei Gong China 16 259 0.6× 159 0.8× 165 1.1× 31 0.3× 159 1.6× 38 679
Shailaja Akunuru United States 14 528 1.3× 197 1.0× 139 0.9× 144 1.4× 125 1.2× 14 900
Radiance Lim Singapore 8 511 1.3× 77 0.4× 119 0.8× 70 0.7× 206 2.0× 9 765

Countries citing papers authored by Frank Jaschinski

Since Specialization
Citations

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

Fields of papers citing papers by Frank Jaschinski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Jaschinski

This figure shows the co-authorship network connecting the top 25 collaborators of Frank Jaschinski. A scholar is included among the top collaborators of Frank Jaschinski 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 Frank Jaschinski. Frank Jaschinski 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.
Michel, Sven, et al.. (2024). Characterization of the TLR9-Activating Potential of LNA-Modified Antisense Oligonucleotides. Nucleic Acid Therapeutics. 34(5). 257–271. 2 indexed citations
2.
Kaufmann, Benedikt, Laela M. Booshehri, Janset Onyuru, et al.. (2023). Antisense Oligonucleotide Therapy Decreases IL-1β Expression and Prolongs Survival in Mutant Nlrp3 Mice. The Journal of Immunology. 211(2). 287–294. 6 indexed citations
3.
Cianciaruso, Chiara, Ruben Bill, Marcel P. Trefny, et al.. (2023). Dual TLR9 and PD-L1 targeting unleashes dendritic cells to induce durable antitumor immunity. Journal for ImmunoTherapy of Cancer. 11(5). e006714–e006714. 14 indexed citations
4.
Michel, Sven, et al.. (2022). ANGPTL4 silencing via antisense oligonucleotides reduces plasma triglycerides and glucose in mice without causing lymphadenopathy. Journal of Lipid Research. 63(7). 100237–100237. 22 indexed citations
5.
Michel, Sven, Richard Klar, & Frank Jaschinski. (2021). Investigation of the Activity of Antisense Oligonucleotides Targeting Multiple Genes by RNA-Sequencing. Nucleic Acid Therapeutics. 31(6). 427–435. 1 indexed citations
6.
Shahzad, Khurrum, Sameen Fatima, Moh’d Mohanad Al‐Dabet, et al.. (2021). CHOP-ASO Ameliorates Glomerular and Tubular Damage on Top of ACE Inhibition in Diabetic Kidney Disease. Journal of the American Society of Nephrology. 32(12). 3066–3079. 21 indexed citations
7.
Shen, Minhong, Shanshan Xie, Michelle Rowicki, et al.. (2020). Therapeutic Targeting of Metadherin Suppresses Colorectal and Lung Cancer Progression and Metastasis. Cancer Research. 81(4). 1014–1025. 37 indexed citations
8.
Festag, Julia, et al.. (2020). Preventing ATP Degradation by ASO-Mediated Knockdown of CD39 and CD73 Results in A2aR-Independent Rescue of T Cell Proliferation. Molecular Therapy — Nucleic Acids. 21. 656–669. 12 indexed citations
9.
Michel, Sven, et al.. (2020). Using RNA-seq to Assess Off-Target Effects of Antisense Oligonucleotides in Human Cell Lines. Molecular Diagnosis & Therapy. 25(1). 77–85. 18 indexed citations
10.
Cao, Yu, Jimena Trillo-Tinoco, Rosa A. Sierra, et al.. (2019). ER stress-induced mediator C/EBP homologous protein thwarts effector T cell activity in tumors through T-bet repression. Nature Communications. 10(1). 1280–1280. 111 indexed citations
12.
Cao, Yu, Jimena Trillo-Tinoco, Rosa A. Sierra, et al.. (2019). Publisher Correction: ER stress-induced mediator C/EBP homologous protein thwarts effector T cell activity in tumors through T-bet repression. Nature Communications. 10(1). 3680–3680. 5 indexed citations
13.
Dietzel, Erik, Sven Michel, Markus Helfer, et al.. (2019). Anti-Niemann Pick C1 Single-Stranded Oligonucleotides with Locked Nucleic Acids Potently Reduce Ebola Virus Infection In Vitro. Molecular Therapy — Nucleic Acids. 16. 686–697. 11 indexed citations
14.
Kashyap, Abhishek S., Richard Klar, Sandra M. Kallert, et al.. (2019). Antisense oligonucleotide targeting CD39 improves anti-tumor T cell immunity. Journal for ImmunoTherapy of Cancer. 7(1). 67–67. 51 indexed citations
15.
Jaschinski, Frank, Hanna Korhonen, & Michel Janicot. (2015). Design and Selection of Antisense Oligonucleotides Targeting Transforming Growth Factor Beta (TGF-β) Isoform mRNAs for the Treatment of Solid Tumors. Methods in molecular biology. 1317. 137–151. 11 indexed citations
16.
17.
Schlingensiepen, Karl‐Hermann, Frank Jaschinski, Sven Arke Lang, et al.. (2011). Transforming growth factor‐beta 2 gene silencing with trabedersen (AP 12009) in pancreatic cancer. Cancer Science. 102(6). 1193–1200. 110 indexed citations
18.
Jaschinski, Frank, Tanja Rothhammer, Piotr Jachimczak, et al.. (2011). The Antisense Oligonucleotide Trabedersen (AP 12009) for the Targeted Inhibition of TGF-β2. Current Pharmaceutical Biotechnology. 12(12). 2203–2213. 84 indexed citations
19.
Nießen, Markus, et al.. (2006). Insulin receptor substrates 1 and 2 but not Shc can activate the insulin receptor independent of insulin and induce proliferation in CHO-IR cells. Experimental Cell Research. 313(4). 805–815. 7 indexed citations
20.
Škorjanc, Dejan, Frank Jaschinski, Georg Heine, & Dirk Pette. (1998). Sequential increases in capillarization and mitochondrial enzymes in low-frequency-stimulated rabbit muscle. American Journal of Physiology-Cell Physiology. 274(3). C810–C818. 119 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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