Burkhard Rost
Impact in
- Molecular Biology top 0.05%
- Protein Structure and Dynamics
- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- Bioinformatics and Genomic Networks
- Computational Theory and Mathematics top 0.1%
- Computational Drug Discovery Methods
Papers in
-
- Protein Structure and Dynamics 121
- RNA and protein synthesis mechanisms 107
- Machine Learning in Bioinformatics 105
- Genomics and Phylogenetic Studies 86
- Bioinformatics and Genomic Networks 43
- Genetics, Bioinformatics, and Biomedical Research 19
-
- Enzyme Structure and Function 56
- Co-authors
- Chris SanderJinfeng LiuYana BrombergGuy YachdavYanay OfranRajesh NairPiero FariselliRita Casadio
- Journals
- Proteins Structure Function and Bioinformatics (38 papers)Bioinformatics (32 papers)Nucleic Acids Research (16 papers)Journal of Molecular Biology (15 papers)BMC Bioinformatics (11 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Burkhard Rost
274 papers receiving 28.3k citations
Hit Papers
Peers
Comparison fields: 5 of 192
- Molecular Biology 24.1k
- Computational Theory and Mathematics 2.2k
- Genetics 3.0k
- Materials Chemistry 4.9k
- Cell Biology 1.3k
Countries citing papers authored by Burkhard Rost
This map shows the geographic impact of Burkhard Rost'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 Burkhard Rost with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Burkhard Rost more than expected).
Fields of papers citing papers by Burkhard Rost
This network shows the impact of papers produced by Burkhard Rost. 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 Burkhard Rost. The network helps show where Burkhard Rost may publish in the future.
Co-authors
The 25 scholars most cited alongside Burkhard Rost, 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 | 2024 | 7 | |
| 2 | 2022 | 60 | |
| 3 | 2022 | 31 | |
| 4 | 2021 | 15 | |
| 5 | 2021 | 70 | |
| 6 | 2021 | 22 | |
| 7 | 2020 | 25 | |
| 8 | 2019 | 26 | |
| 9 | 2018 | 49 | |
| 10 | 2018 | 27 | |
| 11 | 2016 | 96 | |
| 12 | 2016 | 12 | |
| 13 | 2014 | 81 | |
| 14 | 2014 | 1 | |
| 15 | 2011 | 4 | |
| 16 | 2011 | 7 | |
| 17 | SNAP: predict effect of non-synonymous polymorphisms on function Hit paper breakdown → | 2007 | 667 |
| 18 | 2007 | 10 | |
| 19 | 2005 | 110 | |
| 20 | 2002 | 153 |
About Burkhard Rost
Burkhard Rost is a scholar working on Molecular Biology, Materials Chemistry, Genetics, Computational Theory and Mathematics and Spectroscopy, having authored 280 papers that have together received 28.9k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (121 papers), RNA and protein synthesis mechanisms (107 papers), Machine Learning in Bioinformatics (105 papers), Genomics and Phylogenetic Studies (86 papers), Enzyme Structure and Function (56 papers), Bioinformatics and Genomic Networks (43 papers), Genetics, Bioinformatics, and Biomedical Research (19 papers) and Genomics and Rare Diseases (15 papers). The work is most often cited by research in Molecular Biology (24.1k citations), Computational Theory and Mathematics (2.2k citations), Genetics (3.0k citations), Materials Chemistry (4.9k citations) and Cell Biology (1.3k citations). Burkhard Rost has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Chris Sander, Jinfeng Liu, Yana Bromberg, Guy Yachdav, Yanay Ofran, Rajesh Nair, Piero Fariselli, Rita Casadio, Michael Heinzinger and Marco Punta. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Bioinformatics, Nucleic Acids Research, Journal of Molecular Biology and BMC 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.