Michael T. Wolfinger

2.3k total citations
46 papers, 1.1k citations indexed

About

Michael T. Wolfinger is a scholar working on Molecular Biology, Genetics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Michael T. Wolfinger has authored 46 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 16 papers in Genetics and 10 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Michael T. Wolfinger's work include RNA and protein synthesis mechanisms (26 papers), Bacterial Genetics and Biotechnology (15 papers) and RNA Research and Splicing (15 papers). Michael T. Wolfinger is often cited by papers focused on RNA and protein synthesis mechanisms (26 papers), Bacterial Genetics and Biotechnology (15 papers) and RNA Research and Splicing (15 papers). Michael T. Wolfinger collaborates with scholars based in Austria, Germany and United States. Michael T. Wolfinger's co-authors include Ivo L. Hofacker, Peter F. Stadler, Christoph Flamm, Ronny Lorenz, Udo Bläsi, Elisabeth Sonnleitner, Andrea Tanzer, Fabian Amman, Adriano de Bernardi Schneider and Susanne Häußler and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and SHILAP Revista de lepidopterología.

In The Last Decade

Michael T. Wolfinger

46 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael T. Wolfinger Austria 19 908 269 132 114 112 46 1.1k
Michael J. Palumbo United States 13 975 1.1× 276 1.0× 168 1.3× 106 0.9× 48 0.4× 20 1.2k
Chunhong Mao United States 20 684 0.8× 138 0.5× 131 1.0× 132 1.2× 69 0.6× 36 1.1k
Matthew D. Dyer United States 13 1.0k 1.1× 172 0.6× 115 0.9× 217 1.9× 71 0.6× 21 1.4k
Janice D. Pata United States 13 626 0.7× 203 0.8× 45 0.3× 194 1.7× 86 0.8× 32 825
Maxime Huvet United Kingdom 12 616 0.7× 276 1.0× 95 0.7× 97 0.9× 38 0.3× 15 912
Nicholas Leiby United States 7 652 0.7× 401 1.5× 141 1.1× 42 0.4× 44 0.4× 10 941
Jiawei Wang China 18 868 1.0× 115 0.4× 135 1.0× 46 0.4× 30 0.3× 42 1.2k
Jason E. Comer United States 22 508 0.6× 268 1.0× 57 0.4× 397 3.5× 149 1.3× 46 987
Benjamin R. Morehouse United States 13 996 1.1× 156 0.6× 391 3.0× 352 3.1× 166 1.5× 21 1.7k

Countries citing papers authored by Michael T. Wolfinger

Since Specialization
Citations

This map shows the geographic impact of Michael T. Wolfinger'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 Michael T. Wolfinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael T. Wolfinger more than expected).

Fields of papers citing papers by Michael T. Wolfinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael T. Wolfinger. 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 Michael T. Wolfinger. The network helps show where Michael T. Wolfinger may publish in the future.

Co-authorship network of co-authors of Michael T. Wolfinger

This figure shows the co-authorship network connecting the top 25 collaborators of Michael T. Wolfinger. A scholar is included among the top collaborators of Michael T. Wolfinger 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 Michael T. Wolfinger. Michael T. Wolfinger 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
2.
McBroome, Jakob, Adriano de Bernardi Schneider, Cornelius Roemer, et al.. (2024). A framework for automated scalable designation of viral pathogen lineages from genomic data. Nature Microbiology. 9(2). 550–560. 6 indexed citations
3.
Overheul, Gijs J., et al.. (2024). Pan-flavivirus analysis reveals sfRNA-independent, 3′ UTR-biased siRNA production from an insect-specific flavivirus. Journal of Virology. 98(11). e0121524–e0121524. 1 indexed citations
4.
Mrozowich, Tyler, Maulik D. Badmalia, Amy Henrickson, et al.. (2022). Biophysical characterisation of human LincRNA-p21 sense and antisense Alu inverted repeats. Nucleic Acids Research. 50(10). 5881–5898. 9 indexed citations
5.
Nukarinen, Ella, Michael T. Wolfinger, Fabian Amman, et al.. (2022). Rewiring of Gene Expression in Pseudomonas aeruginosa During Diauxic Growth Reveals an Indirect Regulation of the MexGHI-OpmD Efflux Pump by Hfq. Frontiers in Microbiology. 13. 919539–919539. 4 indexed citations
6.
Schneider, Adriano de Bernardi, et al.. (2021). Dynamic Molecular Epidemiology Reveals Lineage-Associated Single-Nucleotide Variants That Alter RNA Structure in Chikungunya Virus. Genes. 12(2). 239–239. 5 indexed citations
7.
Amman, Fabian, et al.. (2021). Gene Expression Profiling of Pseudomonas aeruginosa Upon Exposure to Colistin and Tobramycin. Frontiers in Microbiology. 12. 626715–626715. 19 indexed citations
8.
Sasaki, Michihito, Bernard M. Hang’ombe, Yuki Eshita, et al.. (2020). Discoveries of Exoribonuclease-Resistant Structures of Insect-Specific Flaviviruses Isolated in Zambia. Viruses. 12(9). 1017–1017. 10 indexed citations
9.
Schneider, Adriano de Bernardi, et al.. (2019). Updated Phylogeny of Chikungunya Virus Suggests Lineage-Specific RNA Architecture. Viruses. 11(9). 798–798. 33 indexed citations
10.
Schneider, Adriano de Bernardi & Michael T. Wolfinger. (2019). Musashi binding elements in Zika and related Flavivirus 3′UTRs: A comparative study in silico. Scientific Reports. 9(1). 6911–6911. 15 indexed citations
11.
Wolfinger, Michael T., Christoph Flamm, & Ivo L. Hofacker. (2018). Efficient computation of co-transcriptional RNA-ligand interaction dynamics. Methods. 143. 70–76. 9 indexed citations
12.
Sonnleitner, Elisabeth, et al.. (2018). Harnessing Metabolic Regulation to Increase Hfq-Dependent Antibiotic Susceptibility in Pseudomonas aeruginosa. Frontiers in Microbiology. 9. 2709–2709. 31 indexed citations
13.
Sonnleitner, Elisabeth, Sébastien Campagne, Xue-Yuan Pei, et al.. (2017). Interplay between the catabolite repression control protein Crc, Hfq and RNA in Hfq-dependent translational regulation in Pseudomonas aeruginosa. Nucleic Acids Research. 46(3). 1470–1485. 72 indexed citations
14.
Wolfinger, Michael T., Fabian Amman, Nicole Roschanski, et al.. (2016). RNASeq Based Transcriptional Profiling of Pseudomonas aeruginosa PA14 after Short- and Long-Term Anoxic Cultivation in Synthetic Cystic Fibrosis Sputum Medium. PLoS ONE. 11(1). e0147811–e0147811. 37 indexed citations
15.
Wolfinger, Michael T., et al.. (2016). Cross-regulation by CrcZ RNA controls anoxic biofilm formation in Pseudomonas aeruginosa. Scientific Reports. 6(1). 39621–39621. 40 indexed citations
16.
Lorenz, Ronny, et al.. (2015). SHAPE directed RNA folding. Bioinformatics. 32(1). 145–147. 72 indexed citations
17.
Wolfinger, Michael T., et al.. (2015). General and MicroRNA-Mediated mRNA Degradation Occurs on Ribosome Complexes in Drosophila Cells. Molecular and Cellular Biology. 35(13). 2309–2320. 34 indexed citations
18.
Hofacker, Ivo L., Christoph Flamm, Christian Heine, et al.. (2010). BarMap: RNA folding on dynamic energy landscapes. RNA. 16(7). 1308–1316. 47 indexed citations
19.
Flamm, Christoph, Ivo L. Hofacker, Peter F. Stadler, & Michael T. Wolfinger. (2008). Barrier Trees of Degenerate Landscapes 1. 91 indexed citations
20.
Geis, Michael L., Christoph Flamm, Michael T. Wolfinger, et al.. (2008). Folding Kinetics of Large RNAs. Journal of Molecular Biology. 379(1). 160–173. 64 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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