Thomas Hoffmann

3.5k total citations
35 papers, 1.6k citations indexed

About

Thomas Hoffmann is a scholar working on Molecular Biology, Epidemiology and Genetics. According to data from OpenAlex, Thomas Hoffmann has authored 35 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 7 papers in Epidemiology and 6 papers in Genetics. Recurrent topics in Thomas Hoffmann's work include RNA Interference and Gene Delivery (7 papers), Advanced biosensing and bioanalysis techniques (5 papers) and MicroRNA in disease regulation (4 papers). Thomas Hoffmann is often cited by papers focused on RNA Interference and Gene Delivery (7 papers), Advanced biosensing and bioanalysis techniques (5 papers) and MicroRNA in disease regulation (4 papers). Thomas Hoffmann collaborates with scholars based in Austria, Germany and France. Thomas Hoffmann's co-authors include Johannes Zuber, Matthias Muhar, Christof Fellmann, Inês Amorim Monteiro Barbosa, Mareike Roth, Barbara Hopfgartner, Johannes Popow, Bernd Hovemann, Harry Sokol and Julian Jude and has published in prestigious journals such as Science, Nucleic Acids Research and Nature Communications.

In The Last Decade

Thomas Hoffmann

34 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Hoffmann Austria 18 1.2k 202 200 190 186 35 1.6k
Verônica Morandi Brazil 22 588 0.5× 174 0.9× 116 0.6× 363 1.9× 159 0.9× 46 1.4k
Chris Kingsley United States 11 1.3k 1.1× 167 0.8× 237 1.2× 109 0.6× 97 0.5× 14 1.9k
Gioacchin Iannolo Italy 21 938 0.8× 201 1.0× 241 1.2× 122 0.6× 288 1.5× 53 1.7k
Maria Radu United States 16 725 0.6× 134 0.7× 268 1.3× 120 0.6× 226 1.2× 20 1.3k
Yonghwan Kim South Korea 20 1.1k 0.9× 198 1.0× 240 1.2× 76 0.4× 125 0.7× 80 1.7k
Nirit Mor‐Vaknin United States 21 915 0.8× 109 0.5× 231 1.2× 82 0.4× 304 1.6× 31 1.8k
Viktor Wixler Germany 26 1.2k 1.0× 146 0.7× 281 1.4× 331 1.7× 264 1.4× 55 2.0k
Gilles A. Spoden Germany 21 639 0.5× 244 1.2× 222 1.1× 435 2.3× 137 0.7× 23 1.4k
Ming‐Ko Chiang Taiwan 19 718 0.6× 101 0.5× 157 0.8× 102 0.5× 94 0.5× 25 1.3k
Fabrice Allain France 22 1.0k 0.9× 98 0.5× 199 1.0× 110 0.6× 336 1.8× 55 1.4k

Countries citing papers authored by Thomas Hoffmann

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Hoffmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Hoffmann

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Hoffmann. A scholar is included among the top collaborators of Thomas Hoffmann 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 Thomas Hoffmann. Thomas Hoffmann 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.
2.
Hoffmann, Thomas, Alexandra Hörmann, Jakub Zmajkovic, et al.. (2023). Precision RNAi using synthetic shRNAmir target sites. eLife. 12. 2 indexed citations
3.
Golombek, Sonia, Thomas Hoffmann, Ludmilla Hann, et al.. (2023). Improved tropoelastin synthesis in the skin by codon optimization and nucleotide modification of tropoelastin-encoding synthetic mRNA. Molecular Therapy — Nucleic Acids. 33. 642–654. 6 indexed citations
4.
Tchitchek, Nicolas, Julien Campagne, Guillaume Churlaud, et al.. (2022). Low-dose IL-2 shapes a tolerogenic gut microbiota that improves autoimmunity and gut inflammation. JCI Insight. 7(17). 14 indexed citations
5.
Carlet, Michela, Karin Schmelz, Tobias Herold, et al.. (2022). X‐linked inhibitor of apoptosis protein represents a promising therapeutic target for relapsed/refractory ALL. EMBO Molecular Medicine. 15(1). e14557–e14557. 5 indexed citations
6.
Hochmann, Sarah, Radmila Santic, Frieder Koszik, et al.. (2018). Evaluation of modified Interferon alpha mRNA constructs for the treatment of non-melanoma skin cancer. Scientific Reports. 8(1). 12954–12954. 12 indexed citations
7.
Muhar, Matthias, Anja Ebert, Tobias Neumann, et al.. (2018). SLAM-seq defines direct gene-regulatory functions of the BRD4-MYC axis. Science. 360(6390). 800–805. 237 indexed citations
8.
Ebner, Petra, et al.. (2018). The IAP family member BRUCE regulates autophagosome–lysosome fusion. Nature Communications. 9(1). 599–599. 72 indexed citations
9.
Adams, Felix F., Dirk Heckl, Thomas Hoffmann, et al.. (2017). An optimized lentiviral vector system for conditional RNAi and efficient cloning of microRNA embedded short hairpin RNA libraries. Biomaterials. 139. 102–115. 15 indexed citations
10.
Pelossof, Raphael, Lauren Fairchild, Chun‐Hao Huang, et al.. (2017). Prediction of potent shRNAs with a sequential classification algorithm. Nature Biotechnology. 35(4). 350–353. 96 indexed citations
11.
MacPherson, Sarah, et al.. (2017). STAT3 Regulation of Citrate Synthase Is Essential during the Initiation of Lymphocyte Cell Growth. Cell Reports. 19(5). 910–918. 29 indexed citations
12.
Cerny‐Reiterer, Sabine, Gregor Eisenwort, Harald Herrmann, et al.. (2015). Identification of bromodomain-containing protein-4 as a novel marker and epigenetic target in mast cell leukemia. Leukemia. 29(11). 2230–2237. 19 indexed citations
13.
Descamps, Véronique, François Helle, Christophe Louandre, et al.. (2015). The kinase-inhibitor sorafenib inhibits multiple steps of the Hepatitis C Virus infectious cycle in vitro. Antiviral Research. 118. 93–102. 25 indexed citations
14.
Jurkin, Jennifer, A. Nielsen, Martina Minnich, et al.. (2014). The mammalian tRNA ligase complex mediates splicing of XBP1 mRNA and controls antibody secretion in plasma cells. The EMBO Journal. 33(24). 2922–2936. 150 indexed citations
15.
Dufresne, M., François Helle, Thomas Hoffmann, et al.. (2014). Alginate Hydrogel Protects Encapsulated Hepatic HuH-7 Cells against Hepatitis C Virus and Other Viral Infections. PLoS ONE. 9(10). e109969–e109969. 29 indexed citations
16.
Fellmann, Christof, Thomas Hoffmann, Barbara Hopfgartner, et al.. (2013). An Optimized microRNA Backbone for Effective Single-Copy RNAi. Cell Reports. 5(6). 1704–1713. 443 indexed citations
17.
Helle, François, Étienne Brochot, Carole Fournier, et al.. (2013). Permissivity of Primary Human Hepatocytes and Different Hepatoma Cell Lines to Cell Culture Adapted Hepatitis C Virus. PLoS ONE. 8(8). e70809–e70809. 20 indexed citations
18.
Hoffmann, Thomas, et al.. (2012). MicroRNAs and hepatitis C virus: Toward the end of miR-122 supremacy. Virology Journal. 9(1). 109–109. 30 indexed citations
19.
Grabner, Beatrice, Leander Blaas, Mónica Musteanu, et al.. (2010). A mouse tool for conditional mutagenesis in ovarian granulosa cells. genesis. 48(10). 612–617. 6 indexed citations
20.

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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