Jonathan Hoser
Impact in
- Clinical Biochemistry top 5%
- Metabolism and Genetic Disorders
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- Viral-associated cancers and disorders
Papers in
-
- Genomics and Phylogenetic Studies 3
- Machine Learning in Bioinformatics 2
- Mitochondrial Function and Pathology 1
- Bioinformatics and Genomic Networks 1
- Oncology 2
- Viral-associated cancers and disorders 2
- Co-authors
- Maximilian Hastreiter (3 shared papers)Mickaël Bouvet (2 shared papers)Andreas Moosmann (2 shared papers)Bill Sugden (2 shared papers)Mitchell Hayes (2 shared papers)Wolfgang Hammerschmidt (2 shared papers)Takanobu Tagawa (2 shared papers)Dominik Lutter (2 shared papers)
- Journals
- Bioinformatics (1 paper)Nature Genetics (1 paper)The Journal of Experimental Medicine (1 paper)Proceedings of the National Academy of Sciences (1 paper)BMC Genomics (1 paper)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Jonathan Hoser
8 papers receiving 511 citations
Peers
Comparison fields: 5 of 60
- Clinical Biochemistry 101
- Oncology 183
- Cancer Research 93
- Immunology 93
- Molecular Biology 295
Countries citing papers authored by Jonathan Hoser
This map shows the geographic impact of Jonathan Hoser'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 Jonathan Hoser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Hoser more than expected).
Fields of papers citing papers by Jonathan Hoser
This network shows the impact of papers produced by Jonathan Hoser. 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 Jonathan Hoser. The network helps show where Jonathan Hoser may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Hoser, 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 | 2010 | 201 | |
| 2 | 2016 | 138 | |
| 3 | 2016 | 113 | |
| 4 | 2009 | 36 | |
| 5 | 2011 | 20 | |
| 6 | 2015 | 11 | |
| 7 | 2017 | 5 | |
| 8 | SIMAP - a comprehensive database of pre-calculated protein sequence similarities, domains, annotations and clusters | 2010 | 1 |
About Jonathan Hoser
Jonathan Hoser is a scholar working on Molecular Biology, Oncology, Immunology, Infectious Diseases and Clinical Biochemistry, having authored 8 papers that have together received 525 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (3 papers), Machine Learning in Bioinformatics (2 papers), Viral-associated cancers and disorders (2 papers), Immune Cell Function and Interaction (2 papers), Metabolism and Genetic Disorders (1 paper), Mitochondrial Function and Pathology (1 paper), Bioinformatics and Genomic Networks (1 paper) and Parvovirus B19 Infection Studies (1 paper). The work is most often cited by research in Clinical Biochemistry (101 citations), Oncology (183 citations), Cancer Research (93 citations), Immunology (93 citations) and Molecular Biology (295 citations). Jonathan Hoser has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Maximilian Hastreiter, Mickaël Bouvet, Andreas Moosmann, Bill Sugden, Mitchell Hayes, Wolfgang Hammerschmidt, Takanobu Tagawa, Dominik Lutter, Manuel Albanese and Hans‐Werner Mewes. Their work appears in journals such as Bioinformatics, Nature Genetics, The Journal of Experimental Medicine, Proceedings of the National Academy of Sciences and BMC Genomics.
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.