Jochen Knaus
Impact in
- Pharmacology top 5%
- Drug-Induced Adverse Reactions
- Rheumatology top 10%
- Urticaria and Related Conditions
Papers in
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- Bioinformatics and Genomic Networks 2
- Gene expression and cancer classification 2
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- Cloud Computing and Resource Management 1
- Co-authors
- Martin Schumacher (2 shared papers)Edith Motschall (1 shared paper)Maja Mockenhaupt (1 shared paper)Stefanie Zimmermann (1 shared paper)Peggy Sekula (1 shared paper)Christine Porzelius (2 shared papers)Harald Binder (6 shared papers)Guido Schwarzer (2 shared papers)
- Journals
- Methods of Information in Medicine (2 papers)Journal of Documentation (1 paper)European Journal of Public Health (1 paper)The R Journal (1 paper)JAMA Dermatology (1 paper)
- Partner nations
- GermanyNetherlands
In The Last Decade
Jochen Knaus
10 papers receiving 294 citations
Peers
Comparison fields: 5 of 84
- Pharmacology 184
- Rheumatology 108
- Pathology and Forensic Medicine 114
- Dermatology 49
- Toxicology 17
Countries citing papers authored by Jochen Knaus
This map shows the geographic impact of Jochen Knaus'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 Jochen Knaus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jochen Knaus more than expected).
Fields of papers citing papers by Jochen Knaus
This network shows the impact of papers produced by Jochen Knaus. 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 Jochen Knaus. The network helps show where Jochen Knaus may publish in the future.
Co-authors
The 25 scholars most cited alongside Jochen Knaus, 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 | 2017 | 209 | |
| 2 | 2009 | 44 | |
| 3 | 2010 | 19 | |
| 4 | 2020 | 13 | |
| 5 | 2012 | 7 | |
| 6 | 2012 | 3 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 1 | |
| 10 | 2022 | 1 |
About Jochen Knaus
Jochen Knaus is a scholar working on Molecular Biology, Information Systems, Information Systems and Management, Computer Networks and Communications and Health Informatics, having authored 10 papers that have together received 300 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (3 papers), Artificial Intelligence in Healthcare and Education (2 papers), Distributed and Parallel Computing Systems (2 papers), Bioinformatics and Genomic Networks (2 papers), Meta-analysis and systematic reviews (2 papers), Gene expression and cancer classification (2 papers), Cloud Computing and Resource Management (1 paper) and Big Data and Business Intelligence (1 paper). The work is most often cited by research in Pharmacology (184 citations), Rheumatology (108 citations), Pathology and Forensic Medicine (114 citations), Dermatology (49 citations) and Toxicology (17 citations). Jochen Knaus has collaborated with scholars based in Germany and Netherlands. Frequent co-authors include Martin Schumacher, Edith Motschall, Maja Mockenhaupt, Stefanie Zimmermann, Peggy Sekula, Christine Porzelius, Harald Binder, Guido Schwarzer, Esmeralda Vicedo and Manuel J. A. Eugster. Their work appears in journals such as Methods of Information in Medicine, Journal of Documentation, European Journal of Public Health, The R Journal and JAMA Dermatology.
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.