Sebastian Will
Impact in
- Molecular Biology top 5%
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Genomics and Phylogenetic Studies
- RNA Research and Splicing
- CRISPR and Genetic Engineering
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
Papers in
-
- RNA and protein synthesis mechanisms 46
- RNA modifications and cancer 31
- Genomics and Phylogenetic Studies 21
- RNA Research and Splicing 18
- Protein Structure and Dynamics 5
- Machine Learning in Bioinformatics 4
-
- Cancer-related molecular mechanisms research 4
- Co-authors
- Rolf BackofenPeter F. StadlerIvo L. HofackerKristin ReicheStephan WolfAndreas GruberTejal JoshiSteffen Heyne
- Journals
- Algorithms for Molecular Biology (8 papers)Bioinformatics (6 papers)BMC Bioinformatics (5 papers)Nucleic Acids Research (5 papers)Constraints (4 papers)
- Partner nations
- GermanyAustriaUnited States
In The Last Decade
Sebastian Will
53 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 119
- Molecular Biology 2.1k
- Cancer Research 241
- Endocrinology 61
- Ecology 283
- Genetics 221
Countries citing papers authored by Sebastian Will
This map shows the geographic impact of Sebastian Will'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 Sebastian Will with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sebastian Will more than expected).
Fields of papers citing papers by Sebastian Will
This network shows the impact of papers produced by Sebastian Will. 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 Sebastian Will. The network helps show where Sebastian Will may publish in the future.
Co-authors
The 25 scholars most cited alongside Sebastian Will, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 1 | |
| 6 | 2018 | 13 | |
| 7 | 2017 | 48 | |
| 8 | 2017 | 9 | |
| 9 | 2016 | 46 | |
| 10 | 2015 | 3 | |
| 11 | Comparative Detection of Processed Small RNAs in Archaea | 2014 | 1 |
| 12 | 2013 | 111 | |
| 13 | 2013 | 11 | |
| 14 | 2011 | 20 | |
| 15 | 2010 | 181 | |
| 16 | 2010 | 12 | |
| 17 | 2008 | 450 | |
| 18 | 2008 | 30 | |
| 19 | Structural Local Multiple Alignment of RNA. | 2008 | 11 |
| 20 | 2005 | 6 |
About Sebastian Will
Sebastian Will is a scholar working on Molecular Biology, Cancer Research, Genetics, Biophysics and Information Systems and Management, having authored 59 papers that have together received 2.5k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (46 papers), RNA modifications and cancer (31 papers), Genomics and Phylogenetic Studies (21 papers), RNA Research and Splicing (18 papers), Protein Structure and Dynamics (5 papers), Machine Learning in Bioinformatics (4 papers), Bacterial Genetics and Biotechnology (4 papers) and Cancer-related molecular mechanisms research (4 papers). The work is most often cited by research in Molecular Biology (2.1k citations), Cancer Research (241 citations), Endocrinology (61 citations), Ecology (283 citations) and Genetics (221 citations). Sebastian Will has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Rolf Backofen, Peter F. Stadler, Ivo L. Hofacker, Kristin Reiche, Stephan Wolf, Andreas Gruber, Tejal Joshi, Steffen Heyne, Cameron Smith and Andreas S. Richter. Their work appears in journals such as Algorithms for Molecular Biology, Bioinformatics, BMC Bioinformatics, Nucleic Acids Research and Constraints.
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.