Lukas Windhager
Impact in
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- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- RNA modifications and cancer
- Gene Regulatory Network Analysis
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Small Animals top 10%
Papers in
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- Gene Regulatory Network Analysis 6
- Bioinformatics and Genomic Networks 3
- RNA Research and Splicing 3
- RNA and protein synthesis mechanisms 2
- RNA modifications and cancer 2
- RNA regulation and disease 2
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- Petri Nets in System Modeling 2
- Co-authors
- Ralf Zimmer (9 shared papers)Tobias Petri (3 shared papers)Robert Küffner (3 shared papers)Caroline C. Friedel (4 shared papers)Lars Dölken (3 shared papers)Kaspar Burger (2 shared papers)Dirk Eick (2 shared papers)Reinhard Hoffmann (1 shared paper)
- Journals
- PLoS Pathogens (1 paper)RNA Biology (1 paper)Integrative Biology (1 paper)Bioinformatics (1 paper)Genome Research (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Lukas Windhager
10 papers receiving 612 citations
Peers
Comparison fields: 5 of 72
- Molecular Biology 466
- Small Animals 37
- Immunology 74
- Surgery 119
- Endocrinology 13
Countries citing papers authored by Lukas Windhager
This map shows the geographic impact of Lukas Windhager'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 Lukas Windhager with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lukas Windhager more than expected).
Fields of papers citing papers by Lukas Windhager
This network shows the impact of papers produced by Lukas Windhager. 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 Lukas Windhager. The network helps show where Lukas Windhager may publish in the future.
Co-authors
The 25 scholars most cited alongside Lukas Windhager, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 152 | |
| 2 | 2012 | 112 | |
| 3 | 2013 | 101 | |
| 4 | 2012 | 82 | |
| 5 | 2012 | 69 | |
| 6 | 2012 | 53 | |
| 7 | 2010 | 31 | |
| 8 | Intuitive Modeling of Dynamic Systems with Petri Nets and Fuzzy Logic. | 2008 | 12 |
| 9 | 2013 | 9 | |
| 10 | 2009 | 1 | |
| 11 | Role of 5-hydroxymethylcytosine during postnatal retinal development | 2013 | 0 |
About Lukas Windhager
Lukas Windhager is a scholar working on Molecular Biology, Computational Theory and Mathematics, Surgery, Small Animals and Pediatrics, Perinatology and Child Health, having authored 11 papers that have together received 622 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (6 papers), Bioinformatics and Genomic Networks (3 papers), RNA Research and Splicing (3 papers), RNA and protein synthesis mechanisms (2 papers), Petri Nets in System Modeling (2 papers), RNA modifications and cancer (2 papers), RNA regulation and disease (2 papers) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Molecular Biology (466 citations), Small Animals (37 citations), Immunology (74 citations), Surgery (119 citations) and Endocrinology (13 citations). Lukas Windhager has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Ralf Zimmer, Tobias Petri, Robert Küffner, Caroline C. Friedel, Lars Dölken, Kaspar Burger, Dirk Eick, Reinhard Hoffmann, Rainer Haas and Wolfgang Fischer. Their work appears in journals such as PLoS Pathogens, RNA Biology, Integrative Biology, Bioinformatics and Genome Research.
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.