Kristian Rother
- Molecular Biology top 5%
- RNA and protein synthesis mechanisms 20
- RNA modifications and cancer 13
- Protein Structure and Dynamics 11
- RNA Research and Splicing 10
- Genomics and Phylogenetic Studies 5
- Genetics, Bioinformatics, and Biomedical Research 5
- Machine Learning in Bioinformatics 4
- Cancer Research top 10%
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- Enzyme Structure and Function 7
- Co-authors
- Janusz M. BujnickiTomasz PutonKaja MilanowskaMagdalena B. RotherHenri GrosjeanStanisław Dunin-HorkawiczElżbieta PurtaMagdalena A. Machnicka
- Journals
- Nucleic Acids Research (8 papers)Briefings in Bioinformatics (5 papers)Bioinformatics (4 papers)
- Partner nations
- PolandGermanyNetherlands
In The Last Decade
Kristian Rother
48 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Molecular Biology 2.3k
- Cancer Research 285
- Information Systems and Management 46
- Structural Biology 8
- Computational Theory and Mathematics 71
Countries citing papers authored by Kristian Rother
This map shows the geographic impact of Kristian Rother'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 Kristian Rother with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kristian Rother more than expected).
Fields of papers citing papers by Kristian Rother
This network shows the impact of papers produced by Kristian Rother. 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 Kristian Rother. The network helps show where Kristian Rother may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kristian Rother, 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 | ULMFiT at GermEval-2018: A Deep Neural Language Model for the Classification of Hate Speech in German Tweets | 2018 | 3 |
| 2 | 2015 | 282 | |
| 3 | 2013 | 45 | |
| 4 | 2012 | 16 | |
| 5 | 2012 | 8 | |
| 6 | 2012 | 70 | |
| 7 | 2011 | 5 | |
| 8 | 2011 | 15 | |
| 9 | 2011 | 70 | |
| 10 | 2011 | 14 | |
| 11 | 2010 | 10 | |
| 12 | 2010 | 37 | |
| 13 | 2008 | 59 | |
| 14 | 2008 | 78 | |
| 15 | 2006 | 8 | |
| 16 | 2006 | 9 | |
| 17 | 2005 | 31 | |
| 18 | 2004 | 40 | |
| 19 | 2003 | 31 | |
| 20 | 2001 | 10 |
About Kristian Rother
Kristian Rother is a scholar working on Molecular Biology, Fluid Flow and Transfer Processes, Computational Theory and Mathematics, Computer Science Applications and Human-Computer Interaction, having authored 48 papers that have together received 2.4k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (20 papers), RNA modifications and cancer (13 papers), Protein Structure and Dynamics (11 papers), RNA Research and Splicing (10 papers), Enzyme Structure and Function (7 papers), Genomics and Phylogenetic Studies (5 papers), Genetics, Bioinformatics, and Biomedical Research (5 papers) and Machine Learning in Bioinformatics (4 papers). The work is most often cited by research in Molecular Biology (2.3k citations), Cancer Research (285 citations), Information Systems and Management (46 citations), Structural Biology (8 citations) and Computational Theory and Mathematics (71 citations). Kristian Rother has collaborated with scholars based in Poland, Germany and Netherlands. Frequent co-authors include Janusz M. Bujnicki, Tomasz Puton, Kaja Milanowska, Magdalena B. Rother, Henri Grosjean, Stanisław Dunin-Horkawicz, Elżbieta Purta, Magdalena A. Machnicka, Anna Olchowik and Mark Helm. Their work appears in journals such as Nucleic Acids Research, Briefings in Bioinformatics, Bioinformatics, BMC Bioinformatics and Proteins Structure Function and Bioinformatics.
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.