Jonas Reeb
Impact in
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- Genomics and Rare Diseases
- Genetic Associations and Epidemiology
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- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Protein Structure and Dynamics
- Genomics and Phylogenetic Studies
- Bioinformatics and Genomic Networks
- CRISPR and Genetic Engineering
Papers in
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- Machine Learning in Bioinformatics 4
- Protein Structure and Dynamics 3
- RNA and protein synthesis mechanisms 3
- Genomics and Phylogenetic Studies 2
- Genetics 5
- Genomics and Rare Diseases 3
- Genetic Associations and Epidemiology 2
- Co-authors
- Burkhard Rost (7 shared papers)Edda Kloppmann (3 shared papers)Michael Bernhofer (2 shared papers)Yana Bromberg (2 shared papers)Yannick Mahlich (2 shared papers)Maximilian Hecht (2 shared papers)Ammar J. Alsheikh (1 shared paper)Emily A. King (2 shared papers)
- Journals
- Proteins Structure Function and Bioinformatics (2 papers)PLoS Computational Biology (1 paper)Scientific Reports (1 paper)iScience (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Jonas Reeb
8 papers receiving 176 citations
Peers
Comparison fields: 5 of 47
- Genetics 54
- Molecular Biology 123
- Endocrinology 5
- Microbiology 4
- Cancer Research 9
Countries citing papers authored by Jonas Reeb
This map shows the geographic impact of Jonas Reeb'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 Jonas Reeb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonas Reeb more than expected).
Fields of papers citing papers by Jonas Reeb
This network shows the impact of papers produced by Jonas Reeb. 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 Jonas Reeb. The network helps show where Jonas Reeb may publish in the future.
Co-authors
The 21 scholars most cited alongside Jonas Reeb, 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 | 41 | |
| 2 | 2016 | 38 | |
| 3 | 2020 | 25 | |
| 4 | 2014 | 23 | |
| 5 | 2017 | 21 | |
| 6 | 2017 | 16 | |
| 7 | 2016 | 12 | |
| 8 | 2023 | 1 | |
| 9 | 2019 | 0 |
About Jonas Reeb
Jonas Reeb is a scholar working on Molecular Biology, Genetics, Materials Chemistry, Pulmonary and Respiratory Medicine and Cancer Research, having authored 9 papers that have together received 177 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (4 papers), Genomics and Rare Diseases (3 papers), Protein Structure and Dynamics (3 papers), RNA and protein synthesis mechanisms (3 papers), Genomics and Phylogenetic Studies (2 papers), Enzyme Structure and Function (2 papers), Genetic Associations and Epidemiology (2 papers) and Ferroptosis and cancer prognosis (1 paper). The work is most often cited by research in Genetics (54 citations), Molecular Biology (123 citations), Endocrinology (5 citations), Microbiology (4 citations) and Cancer Research (9 citations). Jonas Reeb has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Burkhard Rost, Edda Kloppmann, Michael Bernhofer, Yana Bromberg, Yannick Mahlich, Maximilian Hecht, Ammar J. Alsheikh, Emily A. King, Lindsay R. Stolzenburg and Jozef Lazar. Their work appears in journals such as Proteins Structure Function and Bioinformatics, PLoS Computational Biology, Scientific Reports, iScience 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.