Heike Preibsch
- Radiology, Nuclear Medicine and Imaging top 10%
- Pathology and Forensic Medicine top 10%
- Pulmonary and Respiratory Medicine
- Cancer Research
- Obstetrics and Gynecology top 10%
- Co-authors
- Konstantin NikolaouKatja Siegmann-LuzAnnette StaeblerBeate WietekMarkus HahnBenjamin WiesingerSara Y. BruckerKatharina Rall
- Topics
- MRI in cancer diagnosis (15 papers)Breast Lesions and Carcinomas (10 papers)Radiomics and Machine Learning in Medical Imaging (8 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingPathology and Forensic MedicineObstetrics and Gynecology
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Heike Preibsch
35 papers receiving 379 citations
Peers
Comparison fields: 5 of 46
- Radiology, Nuclear Medicine and Imaging 211
- Pathology and Forensic Medicine 125
- Pulmonary and Respiratory Medicine 102
- Cancer Research 87
- Obstetrics and Gynecology 52
Countries citing papers authored by Heike Preibsch
This map shows the geographic impact of Heike Preibsch'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 Heike Preibsch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heike Preibsch more than expected).
Fields of papers citing papers by Heike Preibsch
This network shows the impact of papers produced by Heike Preibsch. 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 Heike Preibsch. The network helps show where Heike Preibsch may publish in the future.
Co-authorship network of co-authors of Heike Preibsch
This figure shows the co-authorship network connecting the top 25 collaborators of Heike Preibsch. A scholar is included among the top collaborators of Heike Preibsch 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 Heike Preibsch. Heike Preibsch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 18 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 9 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | 8 | |
| 10 | 5 | |
| 11 | 0 | |
| 12 | 0 | |
| 13 | 13 | |
| 14 | 9 | |
| 15 | 8 | |
| 16 | 21 | |
| 17 | 61 | |
| 18 | 9 | |
| 19 | 49 | |
| 20 | 7 |
About Heike Preibsch
Heike Preibsch is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Cancer Research, having authored 39 papers that have together received 386 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (15 papers), Breast Lesions and Carcinomas (10 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (211 citations), Pathology and Forensic Medicine (125 citations) and Obstetrics and Gynecology (52 citations). Heike Preibsch has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Konstantin Nikolaou, Katja Siegmann-Luz, Annette Staebler, Beate Wietek, Markus Hahn, Benjamin Wiesinger, Sara Y. Brucker, Katharina Rall, Marius Horger and CD Claussen. Their work appears in journals such as Lara D. Veeken, European Radiology and European Journal of Radiology.
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.