Sylvia Thun
- Health Information Management top 0.5%
- Artificial Intelligence top 10%
- Molecular Biology
- Public Health, Environmental and Occupational Health top 10%
- Health Informatics top 0.5%
- Co-authors
- Moritz LehneJosef SchepersJulian SaßAndrea EssenwangerFabian PraßerCarina Nina VorisekSophie Anne Inès KlopfensteinAlexander Bartschke
- Topics
- Biomedical Text Mining and Ontologies (18 papers)Electronic Health Records Systems (15 papers)Scientific Computing and Data Management (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaRadiologyJournal of Dental Research
- Partner nations
- GermanySwitzerlandNetherlands
In The Last Decade
Sylvia Thun
48 papers receiving 841 citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Health Information Management 208
- Artificial Intelligence 191
- Molecular Biology 176
- Public Health, Environmental and Occupational Health 164
- Health Informatics 155
Countries citing papers authored by Sylvia Thun
This map shows the geographic impact of Sylvia Thun'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 Sylvia Thun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sylvia Thun more than expected).
Fields of papers citing papers by Sylvia Thun
This network shows the impact of papers produced by Sylvia Thun. 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 Sylvia Thun. The network helps show where Sylvia Thun may publish in the future.
Co-authorship network of co-authors of Sylvia Thun
This figure shows the co-authorship network connecting the top 25 collaborators of Sylvia Thun. A scholar is included among the top collaborators of Sylvia Thun based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sylvia Thun. Sylvia Thun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 12 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 7 | |
| 10 | 5 | |
| 11 | Fast Healthcare Interoperability Resources (FHIR) for Interoperability in Health Research: Systematic Reviewbreakdown → | 114 |
| 12 | 18 | |
| 13 | 30 | |
| 14 | 1 | |
| 15 | 4 | |
| 16 | 63 | |
| 17 | 3 | |
| 18 | Towards a Medication Core Data Set for the Medical Informatics Initiative (MII): Initial Mapping Experience between the German Procedure Classification (OPS) and the Identification of Medicinal Products (IDMP). | 1 |
| 19 | German-Language Content in Biomedical Vocabularies. | 5 |
| 20 | 3 |
About Sylvia Thun
Sylvia Thun is a scholar working on Health Informatics, Medical Terminology and Health Information Management, having authored 59 papers that have together received 882 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (18 papers), Electronic Health Records Systems (15 papers) and Scientific Computing and Data Management (12 papers). The work is most often cited by research in Health Informatics (155 citations), Health Information Management (208 citations) and Medical Terminology (6 citations). Sylvia Thun has collaborated with scholars based in Germany, Switzerland and Netherlands. Frequent co-authors include Moritz Lehne, Josef Schepers, Julian Saß, Andrea Essenwanger, Fabian Praßer, Carina Nina Vorisek, Sophie Anne Inès Klopfenstein, Alexander Bartschke, Eugenia Rinaldi and Martin Dugas. Their work appears in journals such as SHILAP Revista de lepidopterología, Radiology and Journal of Dental Research.
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.