Fabian Sievers
Impact in
- Molecular Biology top 0.5%
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Photosynthetic Processes and Mechanisms
- Protein Structure and Dynamics
- Endocrinology top 1%
Papers in
-
- Genomics and Phylogenetic Studies 14
- Machine Learning in Bioinformatics 6
- Glycosylation and Glycoproteins Research 4
- RNA and protein synthesis mechanisms 3
- Protein Structure and Dynamics 3
- Genetics, Bioinformatics, and Biomedical Research 1
- Co-authors
- Desmond G. HigginsAndreas WilmJohannes SödingHamish McWilliamJulie ThompsonKevin KarplusRodrigo LópezMichael Remmert
- Journals
- Bioinformatics (4 papers)BMC Bioinformatics (3 papers)Algorithms for Molecular Biology (2 papers)Protein Science (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- IrelandSingaporeUnited Kingdom
In The Last Decade
Fabian Sievers
16 papers receiving 14.1k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Molecular Biology 8.9k
- Endocrinology 513
- Biotechnology 772
- Molecular Medicine 395
- Infectious Diseases 1.3k
Countries citing papers authored by Fabian Sievers
This map shows the geographic impact of Fabian Sievers'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 Fabian Sievers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabian Sievers more than expected).
Fields of papers citing papers by Fabian Sievers
This network shows the impact of papers produced by Fabian Sievers. 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 Fabian Sievers. The network helps show where Fabian Sievers may publish in the future.
Co-authors
The 18 scholars most cited alongside Fabian Sievers, 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 | 2019 | 16 | |
| 2 | Clustal Omega for making accurate alignments of many protein sequences Hit paper breakdown → | 2017 | 1271 |
| 3 | 2017 | 24 | |
| 4 | 2015 | 24 | |
| 5 | 2015 | 19 | |
| 6 | 2015 | 1 | |
| 7 | 2015 | 13 | |
| 8 | 2014 | 9 | |
| 9 | Clustal Omega Hit paper breakdown → | 2014 | 513 |
| 10 | 2014 | 27 | |
| 11 | Clustal Omega, Accurate Alignment of Very Large Numbers of Sequences Hit paper breakdown → | 2013 | 917 |
| 12 | 2013 | 38 | |
| 13 | Fast, scalable generation of high‐quality protein multiple sequence alignments using Clustal Omega Hit paper breakdown → | 2011 | 11202 |
| 14 | 2010 | 75 | |
| 15 | 2010 | 32 | |
| 16 | 2004 | 7 |
About Fabian Sievers
Fabian Sievers is a scholar working on Molecular Biology, Agronomy and Crop Science, Artificial Intelligence, Materials Chemistry and Information Systems, having authored 16 papers that have together received 14.2k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (14 papers), Machine Learning in Bioinformatics (6 papers), Glycosylation and Glycoproteins Research (4 papers), RNA and protein synthesis mechanisms (3 papers), Enzyme Structure and Function (3 papers), Protein Structure and Dynamics (3 papers), Algorithms and Data Compression (2 papers) and Genetics, Bioinformatics, and Biomedical Research (1 paper). The work is most often cited by research in Molecular Biology (8.9k citations), Endocrinology (513 citations), Biotechnology (772 citations), Molecular Medicine (395 citations) and Infectious Diseases (1.3k citations). Fabian Sievers has collaborated with scholars based in Ireland, Singapore and United Kingdom. Frequent co-authors include Desmond G. Higgins, Andreas Wilm, Johannes Söding, Hamish McWilliam, Julie Thompson, Kevin Karplus, Rodrigo López, Michael Remmert, Toby J. Gibson and Weizhong Li. Their work appears in journals such as Bioinformatics, BMC Bioinformatics, Algorithms for Molecular Biology, Protein Science and Proceedings of the National Academy of Sciences.
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.