Jan Daneš
- Radiology, Nuclear Medicine and Imaging top 10%
- Oncology
- Biomedical Engineering
- Hepatology top 10%
- Pulmonary and Respiratory Medicine
- Co-authors
- W JakubowskiHervé TrillaudChristian GreisG SchmutzValérie VilgrainRaymond OyenPierre‐Jean ValetteVlastimil Válek
- Topics
- Global Cancer Incidence and Screening (9 papers)Cancer Risks and Factors (7 papers)Breast Lesions and Carcinomas (7 papers)
In The Last Decade
Jan Daneš
37 papers receiving 540 citations
Peers
Comparison fields: 5 of 91
- Radiology, Nuclear Medicine and Imaging 142
- Oncology 139
- Biomedical Engineering 100
- Hepatology 93
- Pulmonary and Respiratory Medicine 90
Countries citing papers authored by Jan Daneš
This map shows the geographic impact of Jan Daneš'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 Daneš with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Daneš more than expected).
Fields of papers citing papers by Jan Daneš
This network shows the impact of papers produced by Jan Daneš. 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 Daneš. The network helps show where Jan Daneš may publish in the future.
Co-authorship network of co-authors of Jan Daneš
This figure shows the co-authorship network connecting the top 25 collaborators of Jan Daneš. A scholar is included among the top collaborators of Jan Daneš 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 Daneš. Jan Daneš is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 11 | |
| 4 | 7 | |
| 5 | 6 | |
| 6 | 15 | |
| 7 | Proč využíváme mamografii pro screening nádorů prsu a nepřestaneme ji využívat ani po vydání „aktuální“ kanadské studie? | 1 |
| 8 | 22 | |
| 9 | 22 | |
| 10 | 134 | |
| 11 | 30 | |
| 12 | Asymmetry of basal ganglia in children with attention deficit hyperactivity disorder. | 20 |
| 13 | 32 | |
| 14 | Assessment of in vitro drug resistance of human breast cancer cells subcultured from biopsy specimens. | 6 |
| 15 | 14 | |
| 16 | 31 | |
| 17 | Eine multizentrische Studie zu diagnostischen Kriterien in der Mammasonographie : Statistische Fallstricke und Wege aus dem Datendschungel | 1 |
| 18 | 9 | |
| 19 | [Goldenhar syndrome (oculoauriculovertebral dysplasia)]. | 0 |
| 20 | 17 |
About Jan Daneš
Jan Daneš is a scholar working on Oncology, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 41 papers that have together received 571 indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (9 papers), Cancer Risks and Factors (7 papers) and Breast Lesions and Carcinomas (7 papers). The work is most often cited by research in Hepatology (93 citations), Emergency Medical Services (44 citations) and Radiology, Nuclear Medicine and Imaging (142 citations). Jan Daneš has collaborated with scholars based in Czechia, Germany and Israel. Frequent co-authors include W Jakubowski, Hervé Trillaud, Christian Greis, G Schmutz, Valérie Vilgrain, Raymond Oyen, Pierre‐Jean Valette, Vlastimil Válek, Jean‐Michel Bruel and Lukáš Lambert. Their work appears in journals such as Biomaterials, IEEE Transactions on Image Processing and Bone.
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.