Jochen Knaus
Impact in
- Pharmacology top 5%
- Drug-Induced Adverse Reactions
- Rheumatology top 10%
- Urticaria and Related Conditions
Papers in
-
- Scientific Computing and Data Management 3
-
- Research Data Management Practices 2
- Co-authors
- Martin Christian Schumacher (2 shared papers)Stefanie Yvonne Zimmermann (1 shared paper)Maja Mockenhaupt (1 shared paper)Peggy Sekula (1 shared paper)Edith Motschall (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)European Journal of Public Health (1 paper)JAMA Dermatology (1 paper)Journal of Documentation (1 paper)The R Journal (1 paper)
- Partner nations
- GermanyNetherlands
In The Last Decade
Jochen Knaus
11 papers receiving 348 citations
Peers
Comparison fields: 5 of 83
- Pharmacology 215
- Rheumatology 94
- Pathology and Forensic Medicine 101
- Dermatology 41
- Toxicology 10
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 | 252 | |
| 2 | 2009 | 46 | |
| 3 | 2010 | 21 | |
| 4 | 2020 | 19 | |
| 5 | 2012 | 7 | |
| 6 | 2023 | 4 | |
| 7 | 2024 | 3 | |
| 8 | 2012 | 3 | |
| 9 | 2024 | 2 | |
| 10 | 2022 | 1 | |
| 11 | 2024 | 1 |
About Jochen Knaus
Jochen Knaus is a scholar working on Information Systems and Management, Information Systems, Health Informatics, Computer Networks and Communications and Statistics, Probability and Uncertainty, having authored 11 papers that have together received 359 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (3 papers), Distributed and Parallel Computing Systems (2 papers), Research Data Management Practices (2 papers), Gene expression and cancer classification (2 papers), Drug-Induced Adverse Reactions (1 paper), Ethics in Clinical Research (1 paper), Genomics and Chromatin Dynamics (1 paper) and Data Analysis with R (1 paper). The work is most often cited by research in Pharmacology (215 citations), Rheumatology (94 citations), Pathology and Forensic Medicine (101 citations), Dermatology (41 citations) and Toxicology (10 citations). Jochen Knaus has collaborated with scholars based in Germany and Netherlands. Frequent co-authors include Martin Christian Schumacher, Stefanie Yvonne Zimmermann, Maja Mockenhaupt, Peggy Sekula, Edith Motschall, 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, European Journal of Public Health, JAMA Dermatology, Journal of Documentation and The R Journal.
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.