A. Jarasch
- Structural Biology top 5%
- Molecular Biology top 10%
- RNA and protein synthesis mechanisms 7
- RNA modifications and cancer 5
- Biochemical and Molecular Research 3
- Bioinformatics and Genomic Networks 3
- Genomics and Phylogenetic Studies 3
- Biomedical Text Mining and Ontologies 2
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- Monoclonal and Polyclonal Antibodies Research 3
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- Enzyme Structure and Function 3
- Co-authors
- Jean‐Paul ArmacheRoland BeckmannThorsten MielkeOtto BerninghausenShashi BhushanDaniel N. WilsonÉric WesthofFabrice Jossinet
- Journals
- Protein Engineering Design and Selection (2 papers)Nature Structural & Molecular Biology (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
A. Jarasch
18 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 83
- Structural Biology 58
- Molecular Biology 993
- Radiology, Nuclear Medicine and Imaging 172
- Genetics 171
- Immunology 87
Countries citing papers authored by A. Jarasch
This map shows the geographic impact of A. Jarasch'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 A. Jarasch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Jarasch more than expected).
Fields of papers citing papers by A. Jarasch
This network shows the impact of papers produced by A. Jarasch. 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 A. Jarasch. The network helps show where A. Jarasch may publish in the future.
Co-authorship network
The 25 scholars most cited alongside A. Jarasch, 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 | 2022 | 10 | |
| 2 | COVIDGraph: Connecting biomedical COVID-19 resources and computational biology models | 2021 | 2 |
| 3 | 2021 | 7 | |
| 4 | 2021 | 1 | |
| 5 | 2018 | 2 | |
| 6 | 2017 | 1 | |
| 7 | 2016 | 24 | |
| 8 | 2016 | 4 | |
| 9 | 2016 | 5 | |
| 10 | 2015 | 172 | |
| 11 | 2015 | 17 | |
| 12 | 2013 | 26 | |
| 13 | 2011 | 137 | |
| 14 | 2011 | 6 | |
| 15 | 2010 | 159 | |
| 16 | 2010 | 172 | |
| 17 | 2010 | 114 | |
| 18 | 2009 | 228 |
About A. Jarasch
A. Jarasch is a scholar working on Molecular Biology, Biochemistry, Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism and Genetics, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (7 papers), RNA modifications and cancer (5 papers), Biochemical and Molecular Research (3 papers), Bioinformatics and Genomic Networks (3 papers), Genomics and Phylogenetic Studies (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Enzyme Structure and Function (3 papers) and Biomedical Text Mining and Ontologies (2 papers). The work is most often cited by research in Structural Biology (58 citations), Molecular Biology (993 citations), Radiology, Nuclear Medicine and Imaging (172 citations), Genetics (171 citations) and Immunology (87 citations). A. Jarasch has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Jean‐Paul Armache, Roland Beckmann, Thorsten Mielke, Otto Berninghausen, Shashi Bhushan, Daniel N. Wilson, Éric Westhof, Fabrice Jossinet, Hans Koll and Elizabeth Villa. Their work appears in journals such as Protein Engineering Design and Selection, Nature Structural & Molecular Biology, Proceedings of the National Academy of Sciences, Journal of Pharmaceutical Sciences and Biotechnology and Applied Biochemistry.
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.