Nathalie Jansen
- Genetics top 1%
- Radiology, Nuclear Medicine and Imaging top 2%
- Pulmonary and Respiratory Medicine top 10%
- Epidemiology
- Cancer Research top 10%
- Co-authors
- Christian la FougèreSabina EigenbrodBogdana SuchorskaPeter BartensteinJörg‐Christian TonnMaximilian NiyaziVera GrauteFriedrich-Wilhelm Kreth
- Topics
- Glioma Diagnosis and Treatment (16 papers)Radiomics and Machine Learning in Medical Imaging (6 papers)Brain Metastases and Treatment (6 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaNeurology
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Nathalie Jansen
23 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 63
- Genetics 853
- Radiology, Nuclear Medicine and Imaging 769
- Pulmonary and Respiratory Medicine 270
- Epidemiology 185
- Cancer Research 177
Countries citing papers authored by Nathalie Jansen
This map shows the geographic impact of Nathalie Jansen'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 Nathalie Jansen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathalie Jansen more than expected).
Fields of papers citing papers by Nathalie Jansen
This network shows the impact of papers produced by Nathalie Jansen. 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 Nathalie Jansen. The network helps show where Nathalie Jansen may publish in the future.
Co-authorship network of co-authors of Nathalie Jansen
This figure shows the co-authorship network connecting the top 25 collaborators of Nathalie Jansen. A scholar is included among the top collaborators of Nathalie Jansen 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 Nathalie Jansen. Nathalie Jansen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 15 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 7 | |
| 6 | 30 | |
| 7 | 26 | |
| 8 | 114 | |
| 9 | 38 | |
| 10 | 10 | |
| 11 | 103 | |
| 12 | 170 | |
| 13 | 34 | |
| 14 | 4 | |
| 15 | 65 | |
| 16 | 9 | |
| 17 | 135 | |
| 18 | 85 | |
| 19 | 33 | |
| 20 | 62 |
About Nathalie Jansen
Nathalie Jansen is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 25 papers that have together received 1.1k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (16 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Brain Metastases and Treatment (6 papers). The work is most often cited by research in Genetics (853 citations), Radiology, Nuclear Medicine and Imaging (769 citations) and Cancer Research (177 citations). Nathalie Jansen has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Christian la Fougère, Sabina Eigenbrod, Bogdana Suchorska, Peter Bartenstein, Jörg‐Christian Tonn, Maximilian Niyazi, Vera Graute, Friedrich-Wilhelm Kreth, Paul Cumming and Christine Schmid‐Tannwald. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Neurology.
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.