Jan Christoph
- Molecular Biology
- Information Systems top 10%
- Cancer Research
- Health Information Management top 5%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Hans‐Ulrich ProkoschDennis ToddenrothMartin SedlmayrFelix KöpckeLena GriebelHauke BuschThomas GanslandtMelanie Boerries
- Topics
- Cancer Genomics and Diagnostics (11 papers)Scientific Computing and Data Management (7 papers)Radiomics and Machine Learning in Medical Imaging (7 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Jan Christoph
43 papers receiving 428 citations
Peers
Comparison fields: 5 of 99
- Molecular Biology 114
- Information Systems 68
- Cancer Research 67
- Health Information Management 59
- Radiology, Nuclear Medicine and Imaging 57
Countries citing papers authored by Jan Christoph
This map shows the geographic impact of Jan Christoph'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 Jan Christoph with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Christoph more than expected).
Fields of papers citing papers by Jan Christoph
This network shows the impact of papers produced by Jan Christoph. 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 Jan Christoph. The network helps show where Jan Christoph may publish in the future.
Co-authorship network of co-authors of Jan Christoph
This figure shows the co-authorship network connecting the top 25 collaborators of Jan Christoph. A scholar is included among the top collaborators of Jan Christoph 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 Jan Christoph. Jan Christoph is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 10 | |
| 10 | 1 | |
| 11 | 6 | |
| 12 | 2 | |
| 13 | 5 | |
| 14 | 25 | |
| 15 | 15 | |
| 16 | 19 | |
| 17 | 1 | |
| 18 | 5 | |
| 19 | 146 | |
| 20 | Integrated Data Repository Toolkit: Werkzeuge zur Nachnutzung medizinischer Daten für die Forschung. | 2 |
About Jan Christoph
Jan Christoph is a scholar working on Health Informatics, Information Systems and Management and Health Information Management, having authored 48 papers that have together received 441 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (11 papers), Scientific Computing and Data Management (7 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). The work is most often cited by research in Health Informatics (25 citations), Health Information Management (59 citations) and Information Systems and Management (32 citations). Jan Christoph has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Hans‐Ulrich Prokosch, Dennis Toddenroth, Martin Sedlmayr, Felix Köpcke, Lena Griebel, Hauke Busch, Thomas Ganslandt, Melanie Boerries, Patrick Metzger and Florian Haller. Their work appears in journals such as Ophthalmology, Frontiers in Immunology and Annals of the Rheumatic Diseases.
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.